Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2023 Feb 16;18(2):e0281886. doi: 10.1371/journal.pone.0281886

Sex differences in diabetic foot ulcer severity and outcome in Belgium

An-Sofie Vanherwegen 1,*, Patrick Lauwers 2, Astrid Lavens 1, Kris Doggen 1, Eveline Dirinck 3; on behalf of the Initiative for Quality Improvement and Epidemiology in multidisciplinary Diabetic Foot Clinics (IQED-Foot) Study Group
Editor: Tariq Jamal Siddiqi4
PMCID: PMC9934352  PMID: 36795662

Abstract

Background

Sex differences are increasingly recognized to play an important role in the epidemiology, treatment and outcomes of many diseases. This study aims to describe differences between sexes in patient characteristics, ulcer severity and outcome after 6 months in individuals with a diabetic foot ulcer (DFU).

Methods

A total of 1,771 patients with moderate to severe DFU participated in a national prospective, multicenter cohort study. Data were collected on demographics, medical history, current DFU and outcome. For data analysis, a Generalized Estimating Equation model and an adjusted Cox proportional hazards regression were used.

Results

The vast majority of patients included were male (72%). Ulcers in men were deeper, more frequently displaying probe to bone, and more frequently deeply infected. Twice as many men presented with systemic infection as women. Men demonstrated a higher prevalence of previous lower limb revascularization, while women presented more frequently with renal insufficiency. Smoking was more common in men than in women. No differences in presentation delay were observed. In the Cox regression analysis, women had a 26% higher chance of healing without major amputation as a first event (hazard ratio 1.258 (95% confidence interval 1.048–1.509)).

Conclusions

Men presented with more severe DFU than women, although no increase in presentation delay was observed. Moreover, female sex was significantly associated with a higher probability of ulcer healing as a first event. Among many possible contributing factors, a worse vascular state associated with a higher rate of (previous) smoking in men stands out.

Background

Diabetic foot ulcers (DFU) are a common, yet devastating complication of longstanding diabetes that is strongly associated with peripheral arterial disease, peripheral neuropathy and foot deformity. The annual incidence of a DFU in people with diabetes ranges from 0.2% to 11%, depending on the clinical setting [1]. It is estimated that 19 to 34% of people with diabetes will develop a DFU in their lifetime. In addition, the recurrence rates are very high [2]. DFUs are associated with significant morbidity and a higher risk of lower limb amputation [3]. DFU and amputations have a major impact on the patient’s quality of life [4,5] and on the burden on and cost to the health care system [1,6]. In this regard, early detection of the development of new lesions and close follow-up of existing lesions are crucial to improve outcomes in DFU patients.

Sex differences are increasingly recognized to play an important role in many aspects of health, such as epidemiology, pathophysiology, disease perception, treatment and outcomes [7]. Male sex has been identified as a risk factor for the development of DFUs [8]. Moreover, sex can strongly influence foot care behaviors [9,10]. There are differences in how men and women manage their diabetes and adhere to the care needed to prevent complications such as DFU [912].

Despite the acknowledgement of a negative role of male sex in the onset of DFU [8], the literature is less extensive on the differences in clinical presentation and outcomes between men and women. However, a better understanding will contribute to the optimization of care for this diabetes complication in a sex-specific manner. Therefore, the aim of this study was to identify sex differences in co-morbidities, referral pattern, ulcer severity at presentation, and outcome during a 6-month prospective cohort study in patients with DFU treated in Belgian multidisciplinary diabetic foot clinics (DFC).

Methods

Data collection

In 2005, a national diabetic foot care program was established in Belgium. The Initiative for Quality Improvement and Epidemiology in multidisciplinary Diabetic foot clinics (IQED-Foot) monitors the foot care provided in multidisciplinary DFCs. Every two years, each DFC prospectively collects data of the first 52 individuals presenting with a moderate to severe DFU or an active Charcot foot during the inclusion year and the evolution of the DFU over a period of 6 months. IQED-Foot is thus set up as a prospective cohort study. The national, aggregated data are analyzed by Sciensano, the Belgian health institute, and results are published in a public report. In addition, each DFC receives individual feedback on the care provided and quality improvement is encouraged by anonymous benchmarking [13].

Data were used from the 2018–2019 IQED-Foot data collection. During the inclusion period between January 1st, 2018 and December 31st, 2018, 35 recognized DFCs prospectively included a minimum of 52 patients who met the inclusion criteria. After inclusion, the patients were followed for 6 months. Sciensano has permission from the Social Security and Health chamber of the Belgian Information Security Committee to collect and use patient data within the IQED-Foot database. The processing of personal data was permitted under the legal basis of general interest (Article 6(1)(e) and Article 9(2)(j) General Data Protection Regulation (GDPR)), and therefore did not require an informed consent. All data were pseudonymized by a trusted third party.

Inclusion criteria

To be included in the study population, individuals had to be 18 years old or older, have diabetes mellitus (type 1, type 2 or other) and present in the DFC with a new DFU of Wagner grade 2 or higher [14], with or without an active Charcot on the same foot, during the inclusion period. In case the patient presented with multiple DFU, only the DFU with the highest expected impact on prognosis was included as the index DFU. Duplicate patients were identified across the 35 DFCs and only the episode related to the first foot problem was retained for analysis.

Variables

The following baseline data were extracted from the patients’ medical file by the treating physician: age, sex, diabetes type and duration, smoking status, relevant medical history, referral pattern, type of foot problem, ulcer location and severity of the index DFU according to the Perfusion, Extent, Depth, Infection and Sensation (PEDIS) classification system [15]. The information on the sex of the patient was recorded by the treating physician and classified as ‘male’, ‘female’ or ‘unknown’. In case the patient was included in an earlier data collection, medical history and stable variables were validated against previous records in the database. During follow-up, information on index DFU management (offloading, vascular diagnostics, revascularization, orthopedic surgery and podiatric interventions) and outcomes (DFU healing, major amputation or death; relapse or new DFU) were recorded. Ulcer healing was defined as complete epithelialization with or without minor amputation (amputation below the ankle). Major amputation was defined as an amputation above the ankle, after which heel support is no longer possible. Full details of the questionnaire are described in the publicly available IQED-Foot report (Dutch/French) [16].

Statistical analysis

Data analyses were performed using Statistical Analysis System (SAS) 9.4 (SAS Institute, Inc. Cary, NC). Differences in means and proportions between women and men were statistically tested with Generalized Estimating Equations, using the logit link function, an interchangeable correlation structure and robust standard errors (GENMOD procedure). This analysis took into account that responses were correlated within DFCs and resulted in appropriate inflation of standard errors, preventing overly optimistic conclusions compared to a standard generalized linear model approach. Non-parametric variables were transformed and statistical differences were assessed with the GENMOD procedure. Missing values were not taken into account, therefore the denominator reflects the number of registrations with a known value. Patients were considered lost to follow-up when the first and last contact date were the same and these patients were excluded from the outcome analyses. Results were expressed as a proportion, a mean (± standard error [SE]) for normally distributed variables or a median (25th percentile (P25)– 75th percentile (P75)) for non-normally distributed variables. Statistical significance was defined as p < 0.05.

A time-to-event analysis was performed for each ulcer-related outcome (DFU healing, major amputation or death) with the calculation of a hazard ratio (HR) taking into account the competing risk of the other two outcomes as a first event using a Cox proportional hazards regression model. The HR was adjusted for general characteristics (age, diabetes duration, diabetes type and smoking status), comorbidities (renal insufficiency, kidney transplantation, cardiovascular disease, and revascularization), wound severity (Wagner grade and PEDIS), referral delay and follow-up time. HRs are reported with their 95% confidence interval (CI).

Results

Patient characteristics and referral pattern

The majority of the study population (72.0%) were male (Table 1). Women were significantly older than men. Smoking was more common in men than in women. These differences were most pronounced in the older age categories. More than 90% of women aged 75 years or older had never smoked, compared to 36.5% of men. This proportion decreased to 69% in women and 33.8% in men with an age between 65 and 74 years. In younger age categories, the proportion of smokers and never smokers was similar between the sexes. More men than women presented with a history of lower limb revascularization or a history of Charcot foot. Renal insufficiency was more common in women, while end-stage renal disease did not differ between sexes.

Table 1. Characteristics and medical history of patients at presentation.

All
(n = 1,771)
Men
(n = 1,276)
Women
(n = 495)
p-value men vs women
Age,
mean (SE)
69.7 (0.3) 68.4 (0.3) 73.0 (0.5) <0.0001
Diabetes type, n (%) Type 1 136 (7.7) 97 (7.6) 39 (7.9) 0.8444
Type 2 1,597 (90.2) 1,148 (90.0) 449 (90.7) 0.5614
Other type 38 (2.1) 31 (2.4) 7 (1.4) 0.2035
Diabetes duration, median (P25-P72) 16.4
(8.6–24.0)
16.0
(8.3–23.0)
17.6
(9.3–27.5)
0.0017
Smoking status,
n (%)
Never 756 (47.4) 421 (36.6) 335 (75.6) <0.0001
Ex-smoker 563 (35.3) 505 (43.9) 58 (13.1) <0.0001
Smoker 275 (17.3) 225 (19.5) 50 (11.3) <0.0001
Renal insufficiency*,
n (%)
729 (42.2) 503 (40.5) 226 (46.8) 0.0104
End-stage renal disease, n (%) 170 (9.9) 116 (9.3) 54 (11.2) 0.2495
Cardiovascular disease, n (%) 670 (41.3) 496 (42.5) 174 (38.1) 0.2615
Revascularization lower limbs, n (%) 575 (33.9) 431 (35.2) 144 (30.4) 0.0249
Previous ulcer,
n (%)
918 (51.8) 671 (52.6) 247 (49.9) 0.3515
Previous Charcot,
n (%)
116 (6.5) 92 (7.2) 24 (4.8) 0.0446
Previous minor amputation, n (%) 394 (22.2) 300 (23.5) 94 (19.0) 0.0839
Previous major amputation, n (%) 69 (3.9) 56 (4.4) 13 (2.6) 0.0832

Proportions are expressed as percentages of known values.

a Defined as Modification of Diet in Renal Disease (MDRD) eGFR < 60 ml/min/1.73 m2.

b Defined as renal transplantation or peritoneal or hemodialysis.

c Defined as history of myocardial infarction, coronary artery bypass grafting, percutaneous coronary intervention, stroke or transient ischemic attack.

Patient referral and presentation delay were recorded for 1,230 (96.4%) and 1,225 (96.0%) men and 473 (95.6%) and 468 (94.5%) women, respectively. No differences in referral pattern were observed. The majority of individuals were referred by a health care professional, while 36.1% of men and 33.2% of women came to the DFC on their own initiative. The median [P25-P75] presentation delay, being the time between the self-reported onset of DFU and the first contact in the DFC, was 3.0 weeks and did not differ between men and women (3.0 [1.0–7.7] vs 3.0 [1.0–8.0] weeks; p = 0.45). Patients with a history of DFU presented earlier compared to those with no history of DFU (2.6 [1.0–6.0] vs 3.9 [1.7–10.0] weeks) and more frequently presented on their own initiative (45.0% vs 24.1%). No differences were observed between sexes.

Ulcer characteristics

Lesion burden was similar between sexes: 70.8% and 71.9% of men and women, respectively, had one lesion (p = 0.52), while 15.0% and 15.4% had an additional ipsilateral lesion (p = 0.84) and 14.2% and 12.7% had an additional contralateral lesion (p = 0.38). Fig 1 shows the location of the index DFU. In both men and women, most ulcers were located on the toes. However, men were significantly more likely to present with a plantar forefoot ulcer compared to women (26.8% vs 18.0%, p<0.0001). No differences were found in the proportion of ulcers located on the plantar midfoot, heel, dorsum or malleolus. Men were more likely to have a DFU spread over multiple locations than women (Table 2).

Fig 1. Location of the index DFU.

Fig 1

A color-coded diagram was used by the DFC to indicate the location of the index DFU: Plantar forefoot (orange), plantar midfoot (yellow), heel (green), malleolus (purple), dorsum (blue) and toes (red). The number and proportion (%) of men and women with a DFU at a known location is indicated next to the respective color. The sum of percentages can exceed 100%, as a DFU can span multiple locations. The proportions of both groups were compared using generalized estimating equations.

Table 2. Ulcer severity according to the PEDIS classification.

All
(n = 1,771)
Men
(n = 1,276)
Women
(n = 495)
p-value men vs women
DFU side,
n (%)
Right 895 (50.5) 656 (51.4) 239 (48.3) 0.1984
DFU location,
n (%)
> 1 location 122 (7.0) 101 (8.0) 21 (4.3) 0.0107
Ulcer severity according to PEDIS
Perfusion,
n (%)
No PAD 764 (45.3) 553 (45.5) 211 (44.8) 0.9511
Subcritical ischemia 683 (40.5) 478 (39.3) 205 (43.5) 0.3252
Critical ischemia 240 (14.2) 185 (15.2) 55 (11.7) 0.0416
Extent,
n (%)
< 1 cm2 498 (29.2) 337 (24.7) 161 (34.2) 0.0156
≥ 1 cm2 and < 3 cm2 797 (46.8) 592 (48.1) 205 (43.5) 0.1290
≥ 3 cm2 408 (24.0) 303 (24.6) 105 (22.3) 0.2781
Depth,
n (%)
Superficial 235 (13.7) 161 (13.0) 74 (15.6) 0.4955
Deep 935 (54.6) 660 (53.4) 275 (57.9) 0.0594
To bone 542 (31.7) 416 (33.6) 126 (26.5) 0.0033
Infection,
n (%)
No infection 490 (28.5) 335 (27.1) 155 (32.2) 0.0196
Superficial 553 (32.2) 385 (31.1) 168 (34.9) 0.3231
Deep 586 (34.1) 442 (35.7) 144 (29.9) 0.0441
Systemic 89 (5.2) 75 (6.1) 14 (2.9) 0.0100
Sensation,
n (%)
No protective sensation 1,370 (85.9) 1,008 (87.3) 362 (82.5) 0.0103

Proportions are expressed as percentages of known values.

DFU: Diabetic foot ulcer; PAD: Peripheral arterial disease.

DFU severity was recorded through the PEDIS classification (Table 2). More than half of the study population presented with peripheral arterial disease, regardless of sex. Critical ischemia was significantly more common in men. Women were more likely to present with an ulcer < 1 cm2. The ulcers in men were deeper, more frequently displaying probe to bone, and were more frequently deeply infected. Twice as many men presented with a systemic infection compared as women. Loss of protective sensation was more prevalent in men.

Ulcer outcome

A total of 64 (3.6%) patients were lost to follow-up, of which 38 men and 26 women. All other patients not lost to follow-up were included in the outcome analysis. After a median (P25-P75) follow-up time of 154 (81–184) days, approximately half of the patients had healed, with or without minor amputation (Fig 2). Although not statistically significant, a slightly higher proportion of women had a healed DFU without any amputation at the end of follow-up compared to men (Fig 2A; 39.2% vs 34.6%, p = 0.05). 10.0% of men and 9.4% of women healed with a minor amputation (p = 0.45) (Fig 2B). Less than 5% of the study population underwent a major amputation (Fig 2C), with no differences between sexes (men 4.3% vs women 3.2%, p = 0.34). No sex differences were observed in the mortality rates (men 6.5% vs women 8.5%, p = 0.10) (Fig 2D). In addition, no differences were found in the median time to an event (healing, amputation or death) between sexes (Fig 2F–2I).

Fig 2. Outcome of the index DFU after 6 months for patients not lost to follow-up.

Fig 2

A-E. Proportion of all patients (green, n = 1,707), male patients (blue, n = 1,238) or female patients (red, n = 469) who achieved the specified outcome during the follow-up period of maximum 6 months, being A. Healing without any amputation; B. Healing with minor amputation; C. Resolved by major amputation; D. Death or E. Chronic ulcer. Deaths were recorded throughout the follow-up period, bringing the total sum of the percentages above 100%, as some patients deceased after healing or major amputation. F-I. Boxplots showing the spread of the time (in days) to an event, being F. Healing without any amputation; G. Healing with minor amputation; H. Major amputation or I. Death. The median time-to-event is indicated by the horizontal line, the mean time-to-event by the circle.

The Cox proportional regression analysis with competing risks demonstrated that women were more likely to heal without major amputation as a first event (crude HR: 1.156 (95% CI 0.999–1.338); adjusted HR: 1.258 (95% CI 1.048–1.509)). On the contrary, no significant association was found between sex and major amputation (crude HR: 0.748 (95% CI 0.394–1.420); adjusted HR: 1.117 (95% CI 0.472–2.640)) or death (crude HR: 1.071 (95% CI 0.710–1.615); adjusted HR: 1.054 (95% CI 0.537–2.069)) as a first event.

Discussion

Sex differences are increasingly recognized to play an important role in many aspects of health [7]. This study focused on sex-related differences in a cohort, followed in multidisciplinary diabetic foot clinics in Belgium.

Patient characteristics

Almost three quarters of this study population with moderate to severe DFU was male. This appears to be in line with observations in the literature identifying male sex as a risk factor for the development of DFU [8]. This can be attributed, at least in part, to sex differences in disease awareness and self-care. It has been suggested that men are less likely to report chronic disease, indicating reduced disease awareness [17]. Women, on the other hand, are more attentive to symptoms and seek professional care sooner and more frequently than men [10,18]. In the context of DFU, women perform foot self-care more accurately [912], although men are less likely to use inappropriate footwear [10].

Women were on average 5 years older than men. However, long diabetes duration rather than age could be a risk factor for the development of foot complications [8]. Both men and women presented with longstanding diabetes. Although clinically not very relevant, a difference of 1.6 years in median diabetes duration was observed in the current study.

Substantial differences in the general smoking habits between men and women were found. These differences were most pronounced in the older age categories. The sex and age distribution of smoking habits in individuals over 65 years old in our study population is consistent with the Belgian national data. In contrast, the national data show a higher proportion of never smokers in the female population aged 45–54 years and 55–64 years compared to the current cohort (62.2% and 50.6% vs 44.4% and 43.9%, respectively). This could indicate a higher tobacco use among women aged 45–64 who presented with a DFU compared to the national population in 2018 in Belgium [19].

Men and women in this study demonstrated a differing pattern of co-morbidities that are key aspects of DFU.

Firstly, although both sexes presented a similar proportion of clinical symptoms of peripheral atrial disease (PAD), men more frequently presented with critical limb ischemia, indicating a higher prevalence of severe PAD in men in this cohort. The major risk factors for PAD are well known and include advanced age, diabetes, and tobacco use. Remarkably, sex could not be identified as a risk factor in a recent meta-analysis [20]. On the other hand, women are more likely to present with asymptomatic disease, resulting in later diagnosis in more advanced stages of PAD [21]. In addition, women are less likely to undergo lower limb revascularization [22], an element also reflected in the current study cohort. Unlike cardiovascular disease, there is no evidence that diabetes poses a higher excess risk for the development of PAD in women compared to men [23].

In general, smoking is associated with a worse cardiovascular state and a 25% greater increase of cardiovascular risk in women [24]. Furthermore, having diabetic foot problems in itself is a risk factor for cardiovascular complications, especially in women [25]. A higher prevalence of cardiovascular disease in women was not present in the current study, possibly due to the very high cardiovascular risk in both sexes. Smoking is considered a risk factor for worse outcomes in individuals with diabetic foot problems [8].

Secondly, a significantly higher proportion of women presented with renal insufficiency compared to men. This observation is in accordance with the literature. Men with diabetes, especially those with a diabetes duration of more than 25 years, appear to be at higher risk for diabetic nephropathy than premenopausal women. In contrast, postmenopausal women are at increased risk compared to men [26]. The vast majority (> 94%) of women included in the current study were 55 years or older, therefore we can assume that they were indeed postmenopausal. In Belgium, national data on renal insufficiency are available for a subset of individuals with diabetes using 3 or more insulin injections per day or pump therapy. Note that due to the sampling conditions of these national data, the proportion of people with type 1 diabetes mellitus (30%) is higher compared to our study cohort (8%). In this national data set, women also present with renal insufficiency more frequently than men (41.0%, mean age 66.2 years vs 33.5%, mean age 64.1 years, p<0.0001) [27]. A higher prevalence of end-stage renal disease has been reported in women than men [26]. However, this was not the case in our study cohort, nor in the national data set [27]. The exact mechanisms underlying the preponderance of female sex in the development and progression of diabetic nephropathy are not yet fully understood. The proposed mechanisms include differences in sex hormones, hemodynamics of the kidney, adiponectin concentrations and concomitant risk factors, such as smoking [26].

Ulcer characteristics

In this study, men presented with more severe DFU compared to women. Ulcers were larger, deeper and significantly more frequently associated with osteomyelitis or systemic infection. Although osteomyelitis and male sex have been identified as individual risk factors for amputation [28,29], patient sex does not affect the likelihood of DFU infection [30]. Some studies indicate that men are more prone to developing surgical site infections [31]. At a biological level, there are sex-related differences in the immune response to infection, as highlighted by the Coronavirus Disease 2019 (COVID-19) pandemic [32]. Another explanation may be the sex-related differences in health-related behaviors, which may lead to differences in the timeliness in which care is sought for acute problems such as infection [17]. Remarkably, in our study population, the most severe DFU was not associated with a longer presentation delay in men, nor with the proportion of individuals referred by a healthcare professional. It should, however, be noted that presentation delay was a patient-reported variable and may be susceptible to recall bias.

Approximately half of men and women had a history of previous DFU. Recurrence rates are indeed known to be very high, with an estimated 60% within 3 years, and 65% within 5 years [2]. A recent meta-analysis demonstrated that the male sex is associated with an increased incidence of DFU recurrence [33]. Nonetheless, it should be noted that in many studies on recurrence, sex is not taken into consideration in the statistical analysis [34,35]. Remarkably, a history of Charcot foot was significantly higher in men. The data in the literature on sex-related differences in the prevalence of Charcot foot remain controversial [36].

A significantly higher proportion of plantar forefoot DFU was seen in men. Obese individuals have been previously shown to have increased plantar peak pressures, with the highest effects in the plantar forefoot and midfoot regions [37,38]. However, no data on weight or body mass index were collected in the current study. The overall effect of sex on plantar pressure is not clear, as one study suggested that female sex is associated with changes in peak pressure in the hindfoot and forefoot region [39], while others reported an association with abnormal pressure distribution at the lateral part and midfoot [38]. Elevated forefoot pressure may also result from diabetic neuropathy [39]. In our study cohort, men indeed presented slightly more frequently with loss of protective sensation compared to women. This observation is consistent with data from the literature, indicating that diabetic neuropathy is more common and develops earlier in men than in women [40].

Ulcer outcome

Our analysis demonstrated, although not significant, a slightly higher healing rate without any amputation after 6 months of follow-up for women compared to men. After adjusting for ulcer severity and patient characteristics, female sex was significantly associated with a higher probability of ulcer healing as a first event. Minor and major amputation rates did not differ between the sexes. The latter observation is in contrast with previous studies in which men with diabetes are at higher risk of undergoing amputations, both minor and major [28,29]. In the literature, this higher risk is attributed to the fact that men are more likely to have risk factors for lower limb amputation, such as tobacco use, PAD, peripheral neuropathy, deep and infected DFU [28]. Interestingly, socio-economic status also appears to have a greater impact on amputation risk in men than in women [41].

Several studies suggest that female and male patients are treated differently to some extent. Women with diabetes are less likely to reach targets for cardiovascular prevention, such as lipid, blood pressure and glycated hemoglobin (HbA1c), less likely to undergo lower limb revascularization, less likely to be monitored for foot and eye complications, and less likely to be reminded to wear their therapeutic shoes by clinical staff [9,22,40,42]. This is even further complicated by the observation that some pharmacological treatments have different efficacy between sexes [40,43,44]. Moreover, the literature also shows that the sex of the treating physician can influence the outcome, a factor that puts particularly female patients at risk when they are treated by a male physician [45,46].

These observations indicate that health care professionals should be aware of the effect of sex differences in the prevention, treatment and follow-up of DFU. Moreover, the impact of sex on the patient’s own perception of their disease and the care they receive should not be neglected. These differences should be taken into account to optimize preventive and therapeutic strategies for diabetes and diabetic foot care in a more sex-specific way.

Strengths and limitations

An important strength of the study is the nationwide data collection with a large number of “real-world” observations. Moreover, the observational data are collected in a prospective manner, hereby reducing the risk of bias. However, we also acknowledge some limitations. First, the study only included information on moderate to severe DFU, which could have resulted in an overestimation of comorbidities and DFU severity. A second limitation is that, although many parameters were recorded in the IQED-Foot database, no data were collected on body mass index, glycated hemoglobin, lipid status, socio-economic status, lifestyle profile or patient-reported experience measures, all of which are of interest when studying a sex-related effect.

Conclusion

To conclude, in our study population, men presented with more severe DFU than women, although no increase in presentation delay was observed. Moreover, female sex was significantly associated with a higher probability of ulcer healing as a first event. Of the many possible contributing factors, a worse vascular state associated with a higher rate of (previous) smoking in men stands out. These findings suggest that attention to sex should be included in both research and clinical optimization of preventive and therapeutic strategies in the treatment of diabetic foot ulcers.

Acknowledgments

The authors would like to thank the diabetic foot clinics for their participation in the IQED-Foot data collection.

Members of the IQED-Foot Study Group: An-Sofie Vanherwegen (lead author, E-mail: iqedfoot@sciensano.be), Flora Mbela Lusendi, Sciensano, Brussels; Dimitri Aerden, Nathalie Denecker, University Hospital Brussels, Brussels; Sabine De Bruyne, Cédric Coucke, AZ ST-Lucas, Gent; Jean-Philippe De Wilde, Christophe Jacobs, Hôpital Erasme, Anderlecht; Kevin Deschamps, Sabrina Houthoofd, and Giovanni Matricali, University Hospital Leuven, Leuven; Sophie Deweer, Boudewijn Moors, Sint-Elisabethziekenhuis, Zottegem; Eveline Dirinck, Patrick Lauwers, University Hospital Antwerp, Antwerp; Isabelle Dumont, Centre du Pied de Ransart, Ransart; Vincent Ers, Eric Weber, Cliniques du Sud Luxembourg, Arlon; Patricia Félix, CHR de la Citadelle, Liège; Olga Kosmopoulou, Antoine Pigeon, CHU Brugmann, Laken; Philippe Lerut, Gertjan Vereecke, AZ Groeninge, Kortrijk; Hilde Beele, Cédric Lannoo, Nathalie Moreels, Caren Randon, Steven Smet, University Hospital Gent, Gent; Frank Nobels, Onze-Lieve-Vrouwziekenhuis, Aalst; Marcelle Rorive, CHU du Sart Tilman, Liège; Viviane Van Elshocht, Landsbond der Christelijke mutualiteiten, Schaarbeek; Michel Vandenbroucke, AZ Sint-Maarten, Mechelen.

Data Availability

Data cannot be shared publicly because of the use of pseudonomyzed patient data. Actors wanting to access (parts of the) data require an approval from the Belgian Information Security Committee Social Security and Health. For more information about the access procedure: iqedfoot@sciensano.be. Metadata (e.g. overview of variables, legal framework) are available on https://fair.healthdata.be/.

Funding Statement

The IQED-Foot quality initiative is funded by the National Institute of Health and Disability Insurance. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.McDermott K, Fang M, Boulton AJM, Selvin E, Hicks CW. Etiology, Epidemiology, and Disparities in the Burden of Diabetic Foot Ulcers. Diabetes Care. 2023;46: 209–221. doi: 10.2337/dci22-0043 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Armstrong DG, Boulton AJM, Bus SA. Diabetic Foot Ulcers and Their Recurrence. N Engl J Med. 2017;376: 2367–2375. doi: 10.1056/NEJMra1615439 [DOI] [PubMed] [Google Scholar]
  • 3.Rodrigues BT, Vangaveti VN, Urkude R, Biros E, Malabu UH. Prevalence and risk factors of lower limb amputations in patients with diabetic foot ulcers: A systematic review and meta-analysis. Diabetes Metab Syndr. 2022;16: 102397. doi: 10.1016/j.dsx.2022.102397 [DOI] [PubMed] [Google Scholar]
  • 4.Hogg FRA, Peach G, Price P, Thompson MM, Hinchliffe RJ. Measures of health-related quality of life in diabetes-related foot disease: a systematic review. Diabetologia. 2012;55: 552–565. doi: 10.1007/s00125-011-2372-5 [DOI] [PubMed] [Google Scholar]
  • 5.Khunkaew S, Fernandez R, Sim J. Health-related quality of life among adults living with diabetic foot ulcers: a meta-analysis. Qual Life Res. 2019;28: 1413–1427. doi: 10.1007/s11136-018-2082-2 [DOI] [PubMed] [Google Scholar]
  • 6.Armstrong DG, Swerdlow MA, Armstrong AA, Conte MS, Padula WV, Bus SA. Five year mortality and direct costs of care for people with diabetic foot complications are comparable to cancer. J Foot Ankle Res. 2020;13: 16. doi: 10.1186/s13047-020-00383-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Mauvais-Jarvis F, Bairey Merz N, Barnes PJ, Brinton RD, Carrero J-J, DeMeo DL, et al. Sex and gender: modifiers of health, disease, and medicine. Lancet Lond Engl. 2020;396: 565–582. doi: 10.1016/S0140-6736(20)31561-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Rossboth S, Lechleitner M, Oberaigner W. Risk factors for diabetic foot complications in type 2 diabetes-A systematic review. Endocrinol Diabetes Metab. 2021;4: e00175. doi: 10.1002/edm2.175 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yu MK, Lyles CR, Bent-Shaw LA, Young BA. Sex disparities in diabetes process of care measures and self-care in high-risk patients. J Diabetes Res. 2013;2013: 575814. doi: 10.1155/2013/575814 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Rossaneis MA, Haddad M do CFL, Mathias TA de F, Marcon SS. Differences in foot self-care and lifestyle between men and women with diabetes mellitus. Rev Lat Am Enfermagem. 2016;24: e2761. doi: 10.1590/1518-8345.1203.2761 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Polikandrioti M, Vasilopoulos G, Dousis E, Gerogianni G, Panoutsopoulos G, Dedes V, et al. Quality of Life and Self-care Activities in Diabetic Ulcer Patients, Grade 3: Gender Differences. J Caring Sci. 2021;10: 184–190. doi: 10.34172/jcs.2021.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Tuha A, Getie Faris A, Andualem A, Ahmed Mohammed S. Knowledge and Practice on Diabetic Foot Self-Care and Associated Factors Among Diabetic Patients at Dessie Referral Hospital, Northeast Ethiopia: Mixed Method. Diabetes Metab Syndr Obes Targets Ther. 2021;14: 1203–1214. doi: 10.2147/DMSO.S300275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Doggen K, Van Acker K, Beele H, Dumont I, Félix P, Lauwers P, et al. Implementation of a quality improvement initiative in Belgian diabetic foot clinics: feasibility and initial results. Diabetes Metab Res Rev. 2014;30: 435–443. doi: 10.1002/dmrr.2524 [DOI] [PubMed] [Google Scholar]
  • 14.Wagner FW. The Dysvascular Foot: A System for Diagnosis and Treatment. Foot Ankle Int. 1981;2: 64–122. doi: 10.1177/107110078100200202 [DOI] [PubMed] [Google Scholar]
  • 15.Schaper NC. Diabetic foot ulcer classification system for research purposes: a progress report on criteria for including patients in research studies. Diabetes Metab Res Rev. 2004;20: S90–S95. doi: 10.1002/dmrr.464 [DOI] [PubMed] [Google Scholar]
  • 16.Vanherwegen A-S, Deweer S, Dumont I, Heureux M, Lauwers P, Nobels F, et al. Initiatief voor Kwaliteitsbevordering en Epidemiologie bij Multidisciplinaire Diabetes Voetklinieken (IKED-Voet)—Resultaten van de 6de gegevensverzameling (auditjaren 2018–2019). Brussels: Sciensano; 2020. Oct. Report No.: D/2020/14.440/75. Available: https://www.sciensano.be/nl/biblio/initiatief-voor-kwaliteitsbevordering-en-epidemiologie-bij-multidisciplinaire-diabetes-voetklinieken-2. [Google Scholar]
  • 17.White A, de Sousa B, de visser R, Hogston R, Madsen SA, Makara P, et al. The state of men’s health in Europe: Extended report. European Commission, Directorate-General for Health and Consumers,; 2011. Available: https://data.europa.eu/doi/10.2772/60721. [Google Scholar]
  • 18.Höhn A, Gampe J, Lindahl-Jacobsen R, Christensen K, Oksuyzan A. Do men avoid seeking medical advice? A register-based analysis of gender-specific changes in primary healthcare use after first hospitalisation at ages 60+ in Denmark. J Epidemiol Community Health. 2020;74: 573–579. doi: 10.1136/jech-2019-213435 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gisle L, Demarest S, Drieskens S. Gezondheidsenquête 2018: Gebruik van tabak. Brussels, Belgium: Sciensano; 2019. Oct. Report No.: D/2019/14.440/57. Available: https://www.sciensano.be/en/biblio/gezondheidsenquete-2018-gebruik-van-tabak. [Google Scholar]
  • 20.Song P, Rudan D, Zhu Y, Fowkes FJI, Rahimi K, Fowkes FGR, et al. Global, regional, and national prevalence and risk factors for peripheral artery disease in 2015: an updated systematic review and analysis. Lancet Glob Health. 2019;7: e1020–e1030. doi: 10.1016/S2214-109X(19)30255-4 [DOI] [PubMed] [Google Scholar]
  • 21.Srivaratharajah K, Abramson BL. Women and Peripheral Arterial Disease: A Review of Sex Differences in Epidemiology, Clinical Manifestations, and Outcomes. Can J Cardiol. 2018;34: 356–361. doi: 10.1016/j.cjca.2018.01.009 [DOI] [PubMed] [Google Scholar]
  • 22.Behrendt C-A, Sigvant B, Kuchenbecker J, Grima MJ, Schermerhorn M, Thomson IA, et al. Editor’s Choice—International Variations and Sex Disparities in the Treatment of Peripheral Arterial Occlusive Disease: A Report from VASCUNET and the International Consortium of Vascular Registries. Eur J Vasc Endovasc Surg Off J Eur Soc Vasc Surg. 2020;60: 873–880. doi: 10.1016/j.ejvs.2020.08.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Chase-Vilchez AZ, Chan IHY, Peters SAE, Woodward M. Diabetes as a risk factor for incident peripheral arterial disease in women compared to men: a systematic review and meta-analysis. Cardiovasc Diabetol. 2020;19: 151. doi: 10.1186/s12933-020-01130-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Humphries KH, Izadnegahdar M, Sedlak T, Saw J, Johnston N, Schenck-Gustafsson K, et al. Sex differences in cardiovascular disease—Impact on care and outcomes. Front Neuroendocrinol. 2017;46: 46–70. doi: 10.1016/j.yfrne.2017.04.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Seghieri G, Policardo L, Gualdani E, Anichini R, Francesconi P. Gender difference in the risk for cardiovascular events or mortality of patients with diabetic foot syndrome. Acta Diabetol. 2019;56: 561–567. doi: 10.1007/s00592-019-01292-y [DOI] [PubMed] [Google Scholar]
  • 26.Piani F, Melena I, Tommerdahl KL, Nokoff N, Nelson RG, Pavkov ME, et al. Sex-related differences in diabetic kidney disease: A review on the mechanisms and potential therapeutic implications. J Diabetes Complications. 2021;35: 107841. doi: 10.1016/j.jdiacomp.2020.107841 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lavens A, De Block C, Mathieu C, Nobels F, Oriot C, Verhaegen A, et al. Initiatief voor Kwaliteitsbevordering en Epidemiologie bij Diabetes IKED—Rapport gegevens 2017–2018. Brussel: Sciensano; 2020. Jun. Report No.: D/2020/14.440/38. Available: https://www.sciensano.be/nl/biblio/initiatief-voor-kwaliteitsbevordering-en-epidemiologie-bij-diabetes-iked-audit-10-gegevens-2017-2018. [Google Scholar]
  • 28.Fan L, Wu X-J. Sex difference for the risk of amputation in diabetic patients: A systematic review and meta-analysis. PloS One. 2021;16: e0243797. doi: 10.1371/journal.pone.0243797 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Lin C, Liu J, Sun H. Risk factors for lower extremity amputation in patients with diabetic foot ulcers: A meta-analysis. PloS One. 2020;15: e0239236. doi: 10.1371/journal.pone.0239236 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Zhang L-X, Wang Y-T, Zhao J, Li Y, Chen H-L. Sex Differences in Osteomyelitis of the Foot in Persons With Diabetes Mellitus: A Meta-Analysis. Wound Manag Prev. 2021;67: 19–25. [PubMed] [Google Scholar]
  • 31.Aghdassi SJS, Schröder C, Gastmeier P. Gender-related risk factors for surgical site infections. Results from 10 years of surveillance in Germany. Antimicrob Resist Infect Control. 2019;8: 95. doi: 10.1186/s13756-019-0547-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Scully EP, Haverfield J, Ursin RL, Tannenbaum C, Klein SL. Considering how biological sex impacts immune responses and COVID-19 outcomes. Nat Rev Immunol. 2020;20: 442–447. doi: 10.1038/s41577-020-0348-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Huang Z-H, Li S-Q, Kou Y, Huang L, Yu T, Hu A. Risk factors for the recurrence of diabetic foot ulcers among diabetic patients: a meta-analysis. Int Wound J. 2019;16: 1373–1382. doi: 10.1111/iwj.13200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Apelqvist J, Larsson J, Agardh C-D. Long‐term prognosis for diabetic patients with foot ulcers. J Intern Med. 1993;233: 485–491. doi: 10.1111/j.1365-2796.1993.tb01003.x [DOI] [PubMed] [Google Scholar]
  • 35.Ghanassia E, Villon L, Dieudonné J-FT dit, Boegner C, Avignon A, Sultan A. Long-Term Outcome and Disability of Diabetic Patients Hospitalized for Diabetic Foot Ulcers: A 6.5-year follow-up study. Diabetes Care. 2008;31: 1288–1292. doi: 10.2337/dc07-2145 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Zhao H-M, Diao J-Y, Liang X-J, Zhang F, Hao D-J. Pathogenesis and potential relative risk factors of diabetic neuropathic osteoarthropathy. J Orthop Surg. 2017;12: 142. doi: 10.1186/s13018-017-0634-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Mickle KJ, Steele JR. Obese older adults suffer foot pain and foot-related functional limitation. Gait Posture. 2015;42: 442–447. doi: 10.1016/j.gaitpost.2015.07.013 [DOI] [PubMed] [Google Scholar]
  • 38.Sutkowska E, Sutkowski K, Sokołowski M, Franek E, Dragan S. Distribution of the Highest Plantar Pressure Regions in Patients with Diabetes and Its Association with Peripheral Neuropathy, Gender, Age, and BMI: One Centre Study. J Diabetes Res. 2019;2019: 7395769. doi: 10.1155/2019/7395769 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Telfer S, Bigham JJ. The influence of population characteristics and measurement system on barefoot plantar pressures: A systematic review and meta-regression analysis. Gait Posture. 2019;67: 269–276. doi: 10.1016/j.gaitpost.2018.10.030 [DOI] [PubMed] [Google Scholar]
  • 40.Seghieri G, Policardo L, Anichini R, Franconi F, Campesi I, Cherchi S, et al. The Effect of Sex and Gender on Diabetic Complications. Curr Diabetes Rev. 2017;13: 148–160. doi: 10.2174/1573399812666160517115756 [DOI] [PubMed] [Google Scholar]
  • 41.Amin L, Shah BR, Bierman AS, Lipscombe LL, Wu CF, Feig DS, et al. Gender differences in the impact of poverty on health: disparities in risk of diabetes-related amputation. Diabet Med J Br Diabet Assoc. 2014;31: 1410–1417. doi: 10.1111/dme.12507 [DOI] [PubMed] [Google Scholar]
  • 42.Jarl G, Alnemo J, Tranberg R, Lundqvist L-O. Gender differences in attitudes and attributes of people using therapeutic shoes for diabetic foot complications. J Foot Ankle Res. 2019;12: 21. doi: 10.1186/s13047-019-0327-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Dennis JM, Henley WE, Weedon MN, Lonergan M, Rodgers LR, Jones AG, et al. Sex and BMI Alter the Benefits and Risks of Sulfonylureas and Thiazolidinediones in Type 2 Diabetes: A Framework for Evaluating Stratification Using Routine Clinical and Individual Trial Data. Diabetes Care. 2018;41: 1844–1853. doi: 10.2337/dc18-0344 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Singh AK, Singh R. Gender difference in cardiovascular outcomes with SGLT-2 inhibitors and GLP-1 receptor agonist in type 2 diabetes: A systematic review and meta-analysis of cardio-vascular outcome trials. Diabetes Metab Syndr. 2020;14: 181–187. doi: 10.1016/j.dsx.2020.02.012 [DOI] [PubMed] [Google Scholar]
  • 45.Wallis CJD, Jerath A, Coburn N, Klaassen Z, Luckenbaugh AN, Magee DE, et al. Association of Surgeon-Patient Sex Concordance With Postoperative Outcomes. JAMA Surg. 2022;157: 146–156. doi: 10.1001/jamasurg.2021.6339 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Greenwood BN, Carnahan S, Huang L. Patient-physician gender concordance and increased mortality among female heart attack patients. Proc Natl Acad Sci U S A. 2018;115: 8569–8574. doi: 10.1073/pnas.1800097115 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Tariq Jamal Siddiqi

14 Dec 2022

PONE-D-22-31378Sex differences in diabetic foot ulcer severity and outcome in BelgiumPLOS ONE

Dear Dr. Vanherwegen,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Jan 28 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Tariq Jamal Siddiqi

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at 

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. We note that the grant information you provided in the ‘Funding Information’ and ‘Financial Disclosure’ sections do not match. 

When you resubmit, please ensure that you provide the correct grant numbers for the awards you received for your study in the ‘Funding Information’ section.

3. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For more information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. 

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

We will update your Data Availability statement on your behalf to reflect the information you provide.

4. One of the noted authors is a group or consortium: Initiative for Quality Improvement and Epidemiology in Diabetic Foot Clinics Study Group

In addition to naming the author group, please list the individual authors and affiliations within this group in the acknowledgments section of your manuscript. Please also indicate clearly a lead author for this group along with a contact email address.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors conducted a study to assess sex differences in diabetic foot ulcer severity and outcome in Belgium. The manuscript is drafted decently and data is presented in an intelligible manner. However, the following points must be addressed to improve the article further:

1. Please replace references that are more than five years old.

2. Clearly highlight the gaps in literature in the Introduction.

3. Specify the type of diabetes mellitus.

4. In lines 131 –132, cite the reference instead of inserting the link.

5. Lines 117-118: Please rephrase as “The following baseline data extracted from the medical file of the patient by the treating physician”

6. Use full forms of all abbreviations the first time they are used for example, PEDIS, SAS 9.4

7. Line 155: It should be “for a 95% confidence interval”

8. Please make the “Patient characteristics and referral pattern“ section of Results more concise, highlighting only the major findings since the rest is detailed in Table 1.

9. Line 190: “The majority of the ulcers was 191 located on the toes in both men and women. Men presented significantly more often 192 with a plantar forefoot ulcer compared to women (26.8% vs 18.0%, p<0.0001).” should be “In both men and women, the majority of ulcers were located on the toes with men presented significantly more often with a plantar forefoot ulcer compared to women (26.8% vs 18.0%, p<0.0001).”

10. Please remove symbols for male and female from Line 200.

11. For the “Ulcer outcome”, mention outcomes of patients not lost to follow up first and then for those not lost to follow-up. No independent headings needed for each, just a main heading of “Ulcer outcome” is fine. In this manner, results for patients not lost to follow-up can simply be stated as being similar between sexes for all the above-mentioned outcomes without mentioning each outcome (and its numbers) independently.

12. Line 230: “a” should be capitalized.

13. Mention the significant results obtained without regression as well.

14. Use better vocabulary where possible such as “demonstrated” or “depicted” instead of “showed” and “more frequently” instead of “more often”.

15. Line 243: It should be “.” instead of “,” in 1054.

16. While the manuscript is easy to read and understand, its language and vocabulary need to be enhanced.

17. Please improve the phrasing of the Discussion and make it more concise, partciularly while discussing patient characteristics.

18. Line 401: it should be “we also acknowledge”

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2023 Feb 16;18(2):e0281886. doi: 10.1371/journal.pone.0281886.r002

Author response to Decision Letter 0


20 Jan 2023

Response to academic editor

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Authors: The manuscript has been adapted in order to meet PLOS ONE’s style requirements described in the templates.

2. We note that the grant information you provided in the ‘Funding Information’ and ‘Financial Disclosure’ sections do not match.

When you resubmit, please ensure that you provide the correct grant numbers for the awards you received for your study in the ‘Funding Information’ section.

Authors: The IQED-Foot quality initiative is funded by the National Institute of Health and Disability Insurance through a convention agreement. There is no grant number appointed.

Due to the fact that Belgium has different official languages, the National Institute of Health and Disability Insurance is also named Rijksinstituut voor Ziekte- en Invaliditeitsverzekering (Dutch) or Institut National d'Assurance Maladie-Invalidité (French), which might have caused the mismatch between the ‘Funding Information’ and ‘Financial Disclosure’ sections.

The funding information section has been updated to:

The IQED-Foot quality initiative is funded by the National Institute of Health and Disability Insurance. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

3. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For more information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions.

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

We will update your Data Availability statement on your behalf to reflect the information you provide.

The IQED-Foot database contains sensitive, personal data. The access, storage and sharing of the data is strictly regulated by the Belgian Information Security Committee Social Security and Health. Data can only be shared in an anonymous way. However, de-identifying the used dataset for the current manuscript does not guarantee complete absence of re-identification of the patients based on several indirect identifiers used for the analyses. For this reason, we are not able to make the de-identified dataset publically available. We propose to update the data availability statement as follows:

Data availability statement

Data cannot be shared publicly because of the use of pseudonomysed patient data. Actors wanting to access (parts of the) data require an approval from the Belgian Information Security Committee Social Security and Health. For more information about the access procedure: iqedfoot@sciensano.be. Metadata (e.g. overview of variables, legal framework) are available on https://fair.healthdata.be/

4. One of the noted authors is a group or consortium: Initiative for Quality Improvement and Epidemiology in Diabetic Foot Clinics Study Group

In addition to naming the author group, please list the individual authors and affiliations within this group in the acknowledgments section of your manuscript.

Please also indicate clearly a lead author for this group along with a contact email address.

Authors: The members of the Initiative for Quality Improvement and Epidemiology in multidisciplinary Diabetic Foot Clinics (IQED-Foot) Study Group and their affiliations are mentioned in the acknowledgement section of the paper. A lead author was indicated along with a contact mail address (An-Sofie Vanherwegen, Sciensano; iqedfoot@sciensano.be).

Response to Reviewers

Reviewer #1: The authors conducted a study to assess sex differences in diabetic foot ulcer severity and outcome in Belgium. The manuscript is drafted decently and data is presented in an intelligible manner.

Authors: We would like to thank reviewer #1 for his/her time to evaluate our manuscript in such great detail.

However, the following points must be addressed to improve the article further:

1. Please replace references that are more than five years old.

Authors: We acknowledge that it is favorable to build further on the most recent literature available. However, as the literature on gender differences in diabetic foot care is rather limited, it is not always possible to refer to publications within the past 5 years to support a specific observation. In addition, we do see an added value to refer to the original research article rather than a recent review that would not contain additional relevant information except for the reference to the original article. In this regard, we only replaced the following selection of references that are more than 5 years old:

- Monteiro-Soares et al. 2012 � Rodrigues et al. 2022

- Teodorescu et al. 2013 � Srivaratharajah et al. 2018

- Huxley et al. 2011 � Humphries et al. 2017

- Pickwell et al. 2015 � Lin et al. 2020

- Dubsky et al. 2013 � Huang et al. 2019

- Fauzi et al. 2016, Younis et al. 2015, Sohn et al. 2009, Nehring et al. 2014 � Zhao et al. 2017

- Hills et al. 2001 � Sutkowska et al. 2019

- Tang et al. 2014 � Lin et al. 2020

2. Clearly highlight the gaps in literature in the Introduction.

Authors: The following text was added in the introduction to highlight the gaps in literature (lines 77-80):

Despite the acknowledgement of a negative role of male sex in the onset of DFU [8], the literature is less extensive on the differences in clinical presentation and outcomes between men and women. However, a better understanding will contribute to the optimization of care for this diabetes complication in a sex-specific manner.

3. Specify the type of diabetes mellitus.

Authors: Any type of diabetes mellitus could have been included in the study population. Upon inclusion, the clinician registered the type of diabetes mellitus as type 1, type 2 or other type.

In our study population, 7.7% of the people had type 1 diabetes, 90.2% type 2 diabetes and 2.1% another type of diabetes (data shown in Table 1).

The text in line 110 was adapted as follows:

To be included in the study population, individuals had to be 18 years old or older, have diabetes mellitus (type 1, type 2 or other) and present…

4. In lines 131 –132, cite the reference instead of inserting the link.

Authors: The link was replaced by a reference (line 132).

5. Lines 117-118: Please rephrase as “The following baseline data extracted from the medical file of the patient by the treating physician”

Authors: The text in lines 118-119 was adapted as suggested.

6. Use full forms of all abbreviations the first time they are used for example, PEDIS, SAS 9.4

Authors: We have revised the text and added the full form where missing.

Line 106: General Data Protection Regulation (GDPR)

Line 123: Perfusion, Extent, Depth, Infection and Sensation (PEDIS)

Line 137: Statistical Analysis System (SAS)

Line 149: 25th percentile (P25)

Line 150: 75th percentile (P75)

Line 320: Coronavirus Disease 2019 (COVID-19)

Line 364: glycated hemoglobin (HbA1c)

7. Line 155: It should be “for a 95% confidence interval”

Authors: Diabetes duration, referral delay and follow-up time are not normally distributed and therefore expressed as a median with 25th and 75th percentile. We noticed that this was not correctly written for referral delay in the second paragraph of the ‘patient characteristics and referral pattern’ section (lines 180-183).

The 95% confidence interval is only being reported for the Hazard Ratio.

The text in lines 180-183 was adapted as follows:

The median [P25-P75] presentation delay, being the time between the self-reported onset of DFU and the first contact in the DFC, was 3.0 weeks and did not differ between men and women (3.0 [1.0–7.7] vs 3.0 [1.0–8.0] weeks; p=0.45). Patients with a history of DFU presented earlier compared to those with no history of DFU (2.6 [1.0–6.0] vs 3.9 [1.7–10.0] weeks)…

The text in lines 146-149 was adapted as follows:

Results were expressed as a proportion, a mean (± standard error [SE]) for normally distributed variables or a median (25th percentile (P25) – 75th percentile (P75)) for non-normally distributed variables. Statistical significance was defined as p < 0.05.

The text in line 157 was adapted as follows:

HRs are reported with their 95% confidence interval (CI).

8. Please make the “Patient characteristics and referral pattern“ section of Results more concise, highlighting only the major findings since the rest is detailed in Table 1.

Authors: The first paragraph of the ‘patient characteristics and referral pattern’ section was made more concise as requested.

9. Line 190: “The majority of the ulcers was 191 located on the toes in both men and women. Men presented significantly more often 192 with a plantar forefoot ulcer compared to women (26.8% vs 18.0%, p<0.0001).” should be “In both men and women, the majority of ulcers were located on the toes with men presented significantly more often with a plantar forefoot ulcer compared to women (26.8% vs 18.0%, p<0.0001).”

Authors: The text in lines 190-192 was adapted as suggested.

10. Please remove symbols for male and female from Line 200.

Authors: The symbols in the legend of Figure 1 were removed as requested.

11. For the “Ulcer outcome”, mention outcomes of patients not lost to follow up first and then for those not lost to follow-up. No independent headings needed for each, just a main heading of “Ulcer outcome” is fine. In this manner, results for patients not lost to follow-up can simply be stated as being similar between sexes for all the above-mentioned outcomes without mentioning each outcome (and its numbers) independently.

Authors: Unfortunately, due to the prospective design of the data collection, we are not able to report the outcomes of patients that are lost to follow-up as this means that the patient only had one consultation at the diabetic foot clinic at the time of presentation. No outcomes have been registered for those patients and they were therefore removed from the denominator of the outcome analyses.

This is mentioned as follows in the Methods section (lines 144-146):

Patients were considered lost to follow-up when the date of first and last contact date were the same and these patients were excluded from the outcome analyses.

We have added the following sentence in line 218 of the ‘Ulcer outcome’ paragraph to make the exclusion of patients lost to follow-up clearer:

All other patients not lost to follow-up were included in the outcome analysis.

12. Line 230: “a” should be capitalized.

Authors: The text in line 233 was adapted as suggested.

13. Mention the significant results obtained without regression as well.

The statistical comparison between men and women for the DFU outcomes (Figure 2) is mentioned in the section ‘Ulcer outcome’ lines 220 – 226. Only a trend (p=0.05) towards higher healing rates without amputation could be observed in women (39.2%) compared to men (34.6%). The crude hazard ratios from the Cox proportional regression analysis equaled to 1.156 (95% CI 0.999-1.338) for healing without major amputation, 0.748 (95% CI 0.394-1.420) for major amputation and 1.071 (95% CI 0.710-1.615) for death as first event.

We have added the crude HRs in the text lines 243-247.

14. Use better vocabulary where possible such as “demonstrated” or “depicted” instead of “showed” and “more frequently” instead of “more often”.

Authors: We have revised the text and made changes where needed.

15. Line 243: It should be “.” instead of “,” in 1054.

Authors: The format of the numbers in line 247 and Table 1 was adapted.

16. While the manuscript is easy to read and understand, its language and vocabulary need to be enhanced.

Authors: The manuscript was revised by an external proofreader (proof of the external proofreading included in the file "Response to reviewers"). We hope that the quality of the language and vocabulary enhanced sufficiently.

17. Please improve the phrasing of the Discussion and make it more concise, partciularly while discussing patient characteristics.

Authors: The Discussion section was made more concise as requested. The manuscript was revised by an external proofreader. We hope that the phrasing enhanced sufficiently.

18. Line 401: it should be “we also acknowledge”

Authors: The text in line 389 was adapted as suggested.

Attachment

Submitted filename: Response to reveiwer_final.pdf

Decision Letter 1

Tariq Jamal Siddiqi

2 Feb 2023

Sex differences in diabetic foot ulcer severity and outcome in Belgium

PONE-D-22-31378R1

Dear Dr. Vanherwegen,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Tariq Jamal Siddiqi

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Tariq Jamal Siddiqi

7 Feb 2023

PONE-D-22-31378R1

Sex differences in diabetic foot ulcer severity and outcome in Belgium

Dear Dr. Vanherwegen:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Tariq Jamal Siddiqi

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Response to reveiwer_final.pdf

    Data Availability Statement

    Data cannot be shared publicly because of the use of pseudonomyzed patient data. Actors wanting to access (parts of the) data require an approval from the Belgian Information Security Committee Social Security and Health. For more information about the access procedure: iqedfoot@sciensano.be. Metadata (e.g. overview of variables, legal framework) are available on https://fair.healthdata.be/.


    Articles from PLOS ONE are provided here courtesy of PLOS

    RESOURCES