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 [9–12].
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).
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).
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 [9–12], 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]