Abstract
Background
Results concerning the association between peritoneal dialysis-related peritonitis and mortality in peritoneal dialysis patients are inconclusive, with one potential reason being that the time-dependent effect of peritonitis has rarely been considered in previous studies. This study aimed to evaluate whether peritonitis has a negative impact on mortality in a large cohort of peritoneal dialysis patients. We also assessed the changing impact of peritonitis on patient mortality with respect to duration of follow-up.
Methods
This retrospective cohort study included incident patients who started peritoneal dialysis from 1 January 2006 to 31 December 2011. Episodes of peritonitis were recorded at the time of onset, and peritonitis was parameterized as a time-dependent variable for analysis. We used the Cox regression model to assess whether peritonitis has a negative impact on mortality.
Results
A total of 1321 patients were included. The mean age was 48.1 ± 15.3 years, 41.3% were female, and 23.5% with diabetes mellitus. The median (interquartile) follow-up time was 34 (21–48) months. After adjusting for confounders, peritonitis was independently associated with 95% increased risk of all-cause mortality (hazard ratio, 1.95; 95% confidence interval: 1.46–2.60), 90% increased risk of cardiovascular mortality (hazard ratio, 1.90; 95% confidence interval: 1.28–2.81) and near 4-fold increased risk of infection-related mortality (hazard ratio, 4.94; 95% confidence interval: 2.47–9.86). Further analyses showed that peritonitis was not significantly associated with mortality within 2 years of peritoneal dialysis initiation, but strongly influenced mortality in patients dialysed longer than 2 years.
Conclusions
Peritonitis was independently associated with higher risk of all-cause, cardiovascular and infection-related mortality in peritoneal dialysis patients, and its impact on mortality was more significant in patients with longer peritoneal dialysis duration.
Electronic supplementary material
The online version of this article (doi:10.1186/s12882-017-0588-4) contains supplementary material, which is available to authorized users.
Keywords: Peritoneal dialysis, Peritonitis, Mortality, Time-dependent variable
Background
The number of patients with end-stage renal disease (ESRD) who receive peritoneal dialysis (PD) therapy has been increasing worldwide [1] because of the improvement in PD techniques and concomitant patient survival. PD-related peritonitis remains the leading cause of technique failure in PD therapy [2, 3]. However, data regarding the impact of peritonitis on mortality in PD patients are controversial [4–9].
Some studies showed that peritonitis was associated with an increased risk of all-cause mortality in PD patients [4, 6, 7], although this was not confirmed by others [5, 8]. More recently, Hsieh et al. reported that patients with peritonitis had a lower risk of overall mortality in comparison with peritonitis-free patients [9]. The explanations for these confusing results may be related to the difficulty in evaluating statistically the relationship between peritonitis and mortality, especially with regard to the time-dependent effect of peritonitis; specifically, that patients who survive longer on PD carry a higher risk of experiencing a peritonitis event. The fact that peritonitis onset in patients with a longer duration of PD was related to poor outcomes [10, 11] also indicates that there is potentially time-dependent effect of peritonitis on mortality. To our knowledge, few studies have considered this time-dependent effect in their statistical methods when evaluating the influence of peritonitis on mortality in PD patients [4–6, 8, 9].
Therefore, in this study we evaluated whether peritonitis has a negative impact on mortality in a large cohort of PD patients, with peritonitis parameterized as a time-dependent variable. We also assessed the changing impact of peritonitis on patient mortality with respect to duration of follow-up.
Methods
Study population
This was a retrospective cohort study. Incident PD patients at the PD centre of The First Affiliated Hospital, Sun Yat-sen University, from 1 January 2006 to 31 December 2011 were included. Patients who were younger than 18 years, dropped out from PD within 90 days, or on long-term hemodialysis or had chronic renal transplant failure before initiating PD, were excluded. Tenckhoff catheters were placed using a sterile surgical technique and conventional PD solutions (Dianeal 1.5%, 2.5% or 4.25% dextrose; Baxter Healthcare, Guangzhou, China), and Y-sets and twin-bag systems were utilized in over 98% of the PD patients. Patients and their caregivers underwent a standard training program after catheterization. The study protocol was consistent with the ethical principles of the Helsinki Declaration and was approved by the Ethics Committee of The First Affiliated Hospital, Sun Yat-sen University. All participants were asked for permission to use their medical data for a non-commercial study, and written informed consent was obtained from them at the initiation of PD follow-up.
Follow-up and outcomes
Demographic data, including age, sex, causes of ESRD, and comorbidity conditions, were collected at the time of PD initiation. A history of cardiovascular disease (CVD), which included cerebrovascular disease, ischemic heart disease, congestive heart failure, and peripheral vascular disease, was also reviewed. The baseline laboratory data were obtained during the first 1–3 months after initiating PD. All of the patients were followed up until death, or administrative censoring (including renal transplantation, switching to hemodialysis, transfer to another PD centre, loss to follow-up, and withdrawal of treatment), or the end of the study follow-up period (31 December 2013). Therefore, deaths while on PD treatment were considered as mortality in this study. The primary outcome was all-cause mortality. Secondary outcomes were infection-related mortality and cardiovascular (CV) mortality.
Study definitions
PD-related peritonitis was diagnosed based on at least two of the following criteria [3]: (1) abdominal pain or cloudiness of PD effluent; (2) white blood cell count in PD effluent >100/μL with >50% polymorphonuclear leukocytes; and (3) a positive culture from PD effluent. CV death was defined as death due to ischemic heart disease, arrhythmias, sudden cardiac death, congestive heart failure, other heart disease, or cerebrovascular events [12, 13]. Death related to peritonitis was defined as death of a patient with active peritonitis, or admitted with peritonitis or within 2 weeks of a peritonitis episode [3]. When discussing the causes of deaths, the PD team, which consists of three nephrologists in our PD centre, reviewed the details of the individual medical records. Regarding inherent difficulties in assigning cause of death to infection or cardiovascular events, we tended to assign the death to the primary reason for hospitalization when the two coexisted.
Statistical analysis
Results were expressed as frequencies and percentages for categorical variables, mean ± standard deviation (SD) for continuous variables, and median and interquartile range (IQR) for skewed distributions. Probability of the cumulative rate of peritonitis episodes and mortality were evaluated by the Kaplan–Meier method. The proportional hazards assumption was tested using time-dependent covariates in the Cox regression model. When a peritonitis event was entered into the model as a conventional binary covariate, the proportional hazards assumption was violated (Additional file 1: Table S1), indicating peritonitis event as a conventional binary predictor was not appropriate for analyzing the effect of peritonitis event on survival. And if we considered only the first peritonitis in the Cox model for the study outcomes, the models were different (Additional file 1: Table S2). Thus, the onset time of all the episodes of peritonitis were recorded, and peritonitis was parameterized as a time-dependent variable (Additional file 1: Table S3), corresponding to the method suggested by published report [14]. For patients with peritonitis events, the time from the start of following-up to the time of peritonitis onset and the time from peritonitis onset to the death event were both calculated, respectively. The associations between peritonitis and all-cause, infection-related, and CV mortality were then assessed using Cox proportional hazards regression models. The potential confounders, including age, sex, diabetes mellitus (DM), history of CVD, 24-h urine output, hemoglobin, serum phosphorus, and serum albumin, some of which were identified as risk factors for mortality in our previous study [15], were also adjusted in the multivariable COX regression models.
Considering that the effects of peritonitis on mortality may be changing over the follow-up period, we analysed their associations progressively by year in the Cox regression models; meanwhile, a stratified analysis by follow-up time period was also performed to distinguish the differences. The statistical software SPSS (version 19.0; SPSS Inc. and IBM Inc.) was used for data analysis. All of the reported p values are two-tailed, and statistical significance was defined as p < 0.05.
Results
Study population
A total of 1473 patients received PD therapy in our PD centre between 1 January 2006 and 31 December 2011. Patients who were younger than 18 years (n = 17), dropped out of PD within 90 days (n = 72), transferred from permanent hemodialysis (n = 54), and had a history of renal transplantation (n = 9) were excluded. A total of 1321 patients were ultimately included in the study (Fig. 1). The mean age of the entire cohort was 48.1 ± 15.3 years; 58.7% were male, 23.5% had DM, and 36.3% had a history of CVD. The demographic characteristics and clinical data of patients in the two cohorts are shown in Table 1.
Fig. 1.
Flow chart for the study participants enrollment and outcomes. Abbreviations: CVD, cardiovascular disease; PD, peritoneal dialysis
Table 1.
Demographic characteristics and clinical data
| Variables | Patients (n = 1321) | Patients with peritonitis (n = 372) | Patients free of peritonitis (n = 949) | P value |
|---|---|---|---|---|
| Age (years) | 48.1 ± 15.3 | 51.1 ± 14.7 | 46.9 ± 15.4 | <0.001 |
| Sex (Male, n, %) | 776 (58.7%) | 220 (59.1%) | 556 (58.6%) | 0.86 |
| Primary renal disease (n, %) | - | - | - | 0.006 |
| Glomerulonephritis | 776 (58.7%) | 199 (53.5%) | 577 (60.8%) | - |
| Diabetic nephropathy | 298 (22.6%) | 84 (22.6%) | 214 (22.6%) | - |
| Hypertension | 91 (6.9%) | 38 (10.2%) | 53 (5.6%) | - |
| Others | 156 (11.8%) | 51 (13.7%) | 105 (11.1%) | - |
| Diabetes mellitus (n, %) | 311 (23.5%) | 87 (23.4%) | 224 (23.6%) | 0.93 |
| History of CVD (n, %) | 479 (36.3%) | 139 (37.4%) | 340 (35.8%) | 0.62 |
| Duration of PD (months) | 34 (21–48) | 40 (26–56) | 32 (18–46) | <0.001 |
| 24-h urine output (mL) | 900 (500–1300) | 875 (500–1300) | 900 (500–1300) | 0.53 |
| Hemoglobin (g/dL) | 9.4 ± 2.3 | 9.2 ± 2.3 | 9.4 ± 2.3 | 0.133 |
| Serum phosphorus (mg/dL) | 5.2 ± 1.7 | 5.1 ± 1.7 | 5.2 ± 1.8 | 0.124 |
| Serum albumin (g/dL) | 3.6 ± 0.5 | 3.6 ± 0.5 | 3.7 ± 0.5 | 0.080 |
NOTE. Values expressed as mean ± SD, median (interquartile range), or number (percent); CVD cardiovascular disease; PD peritoneal dialysis
Episodes of peritonitis
During the median of 34 (IQR: 21–48) months of follow-up, 372 (28.2%) patients experienced episodes of peritonitis. Among them, 234 (62.9%) had one episode of peritonitis, 72 (19.4%) had two episodes, and 66 (5.5%) had three episodes or more (Table 2). The peritonitis rate was 0.16 per patient-year (95% confidence interval [CI] 0.14–0.18). Figure 2 shows the distribution of patients who experienced peritonitis by dialysis duration. In the first year of PD initiation, 169 (13%) patients had experienced episodes of peritonitis, and the proportion of patients with peritonitis fluctuated from 8% to 13% in the subsequent years. As estimated by Kaplan–Meier survival analysis, the cumulative risk of experiencing peritonitis events and all-cause mortality increased in concert with the extension of PD duration (Fig. 3).
Table 2.
Peritonitis events and clinical outcomes at the end of the follow-up period for the entire cohort
| Outcomes | Patients (n = 1321) | Follow-up time (months) |
|---|---|---|
| Peritonitis events (n, %) | ||
| 0 time | 949 (71.8%) | 32 (18–46) |
| 1 time | 234 (17.7%) | 38 (25–55) |
| 2 times | 72 (5.5%) | 45 (29–59) |
| ≥3 times | 66 (5.0%) | 41 (26–58) |
| Clinical outcomes (n, %) | ||
| Deaths | 261 (19.8%) | 24 (12–42) |
| Transferred to hemodialysis | 111 (8.4%) | 26 (15–44) |
| Transferred to renal transplantation | 218 (16.5%) | 17 (15–44) |
| Transferred to other PD centres | 63 (4.8%) | 26 (16–36) |
| Loss to follow up | 42 (3.2%) | 29 (18–39) |
| Withdrew treatment | 14 (1.4%) | 10 (8–16) |
| Renal function recovery | 1 (0.1%) | 5 |
| Stay on PD | 611 (46.3%) | 45 (34–59) |
NOTE. Values expressed as median (interquartile range), or number (percent)
PD peritoneal dialysis
Fig. 2.
The proportion of patients experienced peritonitis events in different duration of peritoneal dialysis
Fig. 3.
Cumulative risk of experiencing peritonitis events and all-cause mortality in all patients, estimated by Kaplan-meier survival analysis
Associations between peritonitis and mortality
By the end of the follow-up period, 261 (19.8%) of the 1321 patients had died, 111 (8.4%) were transferred to hemodialysis, 218 (16.5%) received renal transplantation, and 611 (46.3%) remained on PD (Table 2). The mortality rate of the patients was 0.07 per patient-year (95% CI: 0.06–0.08). A total of 147 (56.3%) patients died due to cardiovascular disease while 46 (17.6%) died of infectious disease, of which 19 (41.3%) were peritonitis-related. The etiological details of all-cause deaths and infection-related deaths in the cohort are shown in Fig. 1 and Table 3, respectively. Similarly, the risks for peritonitis and death both increased as the PD duration extended (Fig. 2).
Table 3.
Etiology of infection-related deaths
| Causes | N (%) |
|---|---|
| Peritonitis | 19 (41.3%) |
| Pneumonia | 16 (34.8%) |
| Gastrointestinal infections | 5 (10.9%) |
| Diabetic foot and subsequent sepsis | 2 (4.3%) |
| Acute endocarditis | 1 (2.2%) |
| Acute gallstone pancreatitis | 1 (2.2%) |
| Tuberculosis | 1 (2.2%) |
| Sepsis with pathogen from unclear foci | 1 (2.2%) |
| Total | 46 (100%) |
As shown in Table 4, peritonitis was associated with an increased risk of all-cause mortality, infection-related mortality, and CV mortality in the study population. After adjustment for age, sex, DM, history of CVD, 24-h urine output, hemoglobin, serum phosphorus, and serum albumin, peritonitis was independently associated with a higher risk of all-cause mortality (hazard ratio [HR] = 1.95, 95% CI: 1.46–2.60, p < 0.001), infection-related mortality (HR = 4.94, 95% CI: 2.47–9.86, p < 0.001), and CV mortality (HR = 1.90, 95% CI: 1.28–2.81, p < 0.001).
Table 4.
Associations between peritonitis and mortality using the COX proportional hazards regression models
| Univariate model | Multivariate model | |||
|---|---|---|---|---|
| HR (95% CI) | P value | HR (95% CI) | P value | |
| All-cause mortality | ||||
| Peritonitisa | 2.19 (1.68–2.85) | <0.001 | 1.95 (1.46–2.60) | <0.001 |
| Age (per year increase) | 1.07 (1.06–1.08) | <0.001 | 1.04 (1.03–1.05) | <0.001 |
| Male gender | 0.96 (0.75–1.23) | 0.756 | 1.05 (0.80–1.37) | 0.750 |
| Diabetes mellitus | 3.76 (2.95–4.80) | <0.001 | 1.97 (1.48–2.63) | <0.001 |
| History of CVD | 4.17 (3.23–5.39) | <0.001 | 2.01 (1.48–2.74) | <0.001 |
| 24-h urine output (per 100 ml increase) | 0.93 (0.90–0.95) | <0.001 | 0.97 (0.94–0.99) | 0.023 |
| Hemoglobin (g/dL) | 0.78 (0.73–0.82) | <0.001 | 0.83 (0.77–0.88) | <0.001 |
| Serum phosphorus (mg/dL) | 1.20 (1.13–1.28) | <0.001 | 1.16 (1.08–1.25) | <0.001 |
| Serum albumin (g/dL) | 0.39 (0.31–0.49) | <0.001 | 0.83 (0.64–1.07) | 0.155 |
| Infection-related mortality | ||||
| Peritonitisa | 6.00 (3.26–11.03) | <0.001 | 4.94 (2.47–9.86) | <0.001 |
| CV mortality | ||||
| Peritonitisa | 2.05 (1.43–2.93) | <0.001 | 1.90 (1.28–2.81) | <0.001 |
aPeritonitis was parameterized as a time-dependent covariate. Multivariable models for peritonitis were adjusted for age, sex, diabetes, history of CVD, 24-h urine output, hemoglobin, serum phosphorus, and serum albumin.
CVD cardiovascular disease, PD peritoneal dialysis
For age was also independently associated with all-cause, infection-related, and CV mortality, we further examined the interaction effects between age and peritonitis on mortality. However, no statistically significant interaction effects were apparent (Additional file 1: Table S4).
Changing effects of peritonitis on mortality throughout the follow-up period
The negative impacts of peritonitis on mortality changed by the follow-up period (Fig. 4). The adjusted HR of peritonitis for all-cause and infection-related mortality was 0.80 (95% CI: 0.46-1.38) and 1.06 (95% CI: 0.26-4.32) for patients within 2 years of PD initiation, respectively, gradually increasing to 1.74 (95% CI: 1.28-2.36) and 4.44 (95% CI: 2.14-9.22) after 5 years of PD treatment, the HRs sustained thereafter (for detailed data see Additional file 1: Table S5).
Fig. 4.
The crude hazard ratios (a) and adjusted hazard ratios (b) of peritonitis for all-cause and infection-related mortality over the follow-up times. Note: Adjusted hazard ratio for peritonitis event was adjusted for age, sex, diabetes, history of CVD, 24-h urine output, hemoglobin, serum phosphorus, and serum albumin in the multivariable COX regression models
Based on the results shown in Fig. 4, we further conducted a stratified analysis by the follow-up time period in the Cox regression model. For patients within 2 years of PD, the adjusted HR of peritonitis for all-cause and infection-related mortality was 0.80 (95% CI: 0.46–1.38) and 1.06 (95% CI: 0.26–4.32), respectively, while it was much higher in patients on dialysis longer than 2 years, with an adjusted HR of 3.98 (95% CI: 2.70–5.86) and 9.33 (95% CI: 3.56–24.47), respectively. The interaction test also demonstrated that the relationship between peritonitis and follow-up period for all-cause and infection-related mortality was statistically significant (Table 5).
Table 5.
Stratified analysis by follow-up time period for mortality for patients who experienced peritonitis in the COX proportional hazards regression models
| Time period (years) | No. of patients | No. of deaths | Univariate model | Multivariate model# | ||
|---|---|---|---|---|---|---|
| HR (95% CI) | P value | HR (95% CI) | P value | |||
| All-cause mortalitya | ||||||
| Overall | 1321 | 261 | 2.19 (1.68–2.85) | <0.001 | 1.95 (1.46–2.60) | <0.001 |
| ≤2 years | 1321 | 131 | 1.19 (0.75–1.88) | 0.465 | 0.80 (0.46–1.38) | 0.421 |
| >2 years | 939 | 130 | 4.65 (3.26–6.63) | <0.001 | 3.98 (2.70–5.86) | <0.001 |
| Infection-related mortalityb | ||||||
| Overall | 1321 | 46 | 6.00 (3.26–11.03) | <0.001 | 4.94 (2.47–9.86) | <0.001 |
| ≤2 years | 1321 | 16 | 2.25 (0.79–6.43) | 0.129 | 1.06 (0.26–4.32) | 0.932 |
| >2 years | 939 | 30 | 12.47 (5.18–30.01) | <0.001 | 9.33 (3.56–24.47) | <0.001 |
| CV mortalityc | ||||||
| Overall | 1321 | 147 | 2.05 (1.43–2.93) | <0.001 | 1.90 (1.28–2.81) | 0.001 |
| ≤2 years | 1321 | 75 | 1.05 (0.55–1.99) | 0.882 | 0.69 (0.32–1.48) | 0.339 |
| >2 years | 939 | 72 | 4.51 (2.80–7.27) | <0.001 | 4.13 (2.46–6.94) | <0.001 |
Note: Peritonitis was parameterized as a time-dependent covariate
#Multivariable models were adjusted for age, sex, diabetes, history of CVD, 24-h urine output, hemoglobin, serum phosphorus, and serum albumin.
aOverall test for interaction of peritonitis and time period, Wald 2 = 8.23, P = 0.004; all-cause mortality.
bOverall test for interaction of peritonitis and time period, Wald2 = 6.02, P = 0.014; infection-related mortality.
cOverall test for interaction of peritonitis and time period, Wald2 = 2.32, P = 0.128; CV mortality
Discussion
In this cohort study covering 1321 incident PD patients, we demonstrated that peritonitis was independently associated with higher risk of all-cause mortality, infection-related mortality, and CV mortality. Further analysis showed that the impacts of peritonitis on mortality were more significant in patients with longer PD duration.
Controversial conclusions were made in previous studies regarding the impact of peritonitis on mortality in PD patients. Fried et al. found that an increased peritonitis rate was an independent risk factor for overall mortality in 516 adult PD patients in a single centre in Pittsburgh [4]. Boudville et al., using a case-crossover design, demonstrated that there was an approximately 6-fold increase in the odds of peritonitis in the 30 days before death compared with the 30-day window 6 months before death [7]. However, in a retrospective study of 565 PD patients in Spain, the peritonitis rate was not significantly associated with all-cause mortality after adjustment for potential confounders [5]. Moreover, Hsieh et al. reported recently that patients with a history of peritonitis episodes had a lower risk of all-cause mortality in a Kaplan–Meier analysis and multivariate Cox regression in a Taiwan population with a peritonitis rate of 0.196 episodes per patient-year [9]. These controversial conclusions may be attributed to the difficulty in evaluating the impact of peritonitis on mortality. First, at present there is no standard definition of peritonitis-related mortality. Second, the indirect long-term effects of peritonitis on mortality, which would be mediated by the inflammation state [16–18], poor nutritional status [17], and/or peritoneal membrane change after peritonitis events [19], may be obscure and difficult to define. Moreover, our preliminary exploration found that when a peritonitis event as a conventional binary covariate was entered into the time-dependent Cox regression model, the proportional hazards assumption was violated (Additional file 1: Table S1), suggesting that peritonitis event was a time-dependent covariate for mortality, which has rarely been considered in the statistical methods of most of the previous studies.
In observational studies, treatment is often time dependent. The time from the beginning of follow-up to treatment initiation, with no study event occurs, is known as immortal time in epidemiological studies, and mishandling immortal time can lead to an overestimated treatment effect, sometimes even draw an inverse conclusion [14]. Similar to the treatment, peritonitis is also time dependent. The time from the beginning of follow-up to the time of peritonitis onset should be treated as another kind of immortal time, which being properly handled will be extremely important when assessing the impacts of peritonitis on outcomes. Referring to the suggestions by the authors of the published article above [14], considering the treatment as time-varying variable in the COX regression model would be a prior choice for controlling the immortal time bias. Therefore, with peritonitis parameterizing as a time-dependent variable, we used the Cox regression models to assess the effects of peritonitis on mortality, and demonstrated that peritonitis was independently associated with a higher risk of mortality in our cohort of PD patients.
It is not difficult to understand the negative impact of peritonitis on mortality in PD patients. First, severe and/or persistent peritonitis may lead to serious complications such as intestinal obstruction, intestinal perforation and sepsis, which can directly cause death. Therefore, such severe and/or persistent peritonitis may be readily related to the cause of a PD patient’s mortality. Second, the indirect long-term effects of peritonitis on mortality, as already mentioned [16–19], have been emphasized in recent years. Moreover, patients who are prone to experience an episode of peritonitis may also be likely to experience other infections, as they may share similar risk factors. For example, lower serum albumin, which was verified as a remarkable risk factor for peritonitis episodes in PD patients [20–22], was also demonstrated to be an independent risk factor for pneumonia in our centre’s previous work [23]. As also shown in this study, patients with peritonitis episodes had a significantly higher risk for infection-related mortality, although peritonitis events only accounted for 41.3% of the direct causes of infection-related deaths.
We also found that the negative effects of peritonitis on mortality increased among patients with longer PD follow-up times. Previous studies have reported that the first episodes of peritonitis had better outcomes than subsequent ones, and that a longer duration of PD was associated with worse clinical outcomes of peritonitis [5, 10, 11, 24], which may partially support our findings. In the study conducted by Xu et al., among patients with subsequent peritonitis episodes, those with longer PD duration had a significantly higher drop-out (defined as death or transferring to hemodialysis) rate than those with shorter duration (30.6% vs. 9.7%) [11]. In addition, Krishnan et al. have reported a higher non-resolution rate (24.4% vs. 16.5%) of peritonitis in patients on PD for more than 2.4 years than those on PD for less than 2.4 years [25]. In comparison with these studies, our findings did not directly demonstrate that PD duration affected the impact of peritonitis on mortality, but did indicate that the risk for mortality increased in patients with longer PD duration who experienced a peritonitis event. The mechanisms of this phenomenon remain unclear. On the one hand, the impaired host defence due to the long-term exposure of the conventional glucose dialysate and malnutrition [26–29] may be the main contributor to the poor outcomes in long-term PD patients when exposed to an episode of peritonitis, although this notion needs to be clarified. On the other hand, a longer duration of PD may also be associated with chronic inflammation [30–32] and cardiovascular calcification [33, 34], which are risk factors for overall and CV mortality in PD patients. In addition, ESRD patients on dialysis for a number of years were associated with higher levels of alkaline phosphatase [35, 36], which is traditionally a marker of high-turnover bone disease in ESRD patients but was recently found to be an independent predictor of adverse outcomes of peritonitis in PD patients [35].
Conclusions
The strengths of this study include the large sample size, and the complete records of peritonitis and death events in the cohort. In addition, the methodology we used had adequately dealt with the time-dependent feature of peritonitis. However, there are some limitations. First, as all patients included were from a single PD centre, selection bias cannot be excluded, although the patients were from diverse districts of southern China. Second, as this was a retrospective study, some potential confounding effects could not be completely discounted. The third, this study could not answer the question that how long the negative effect of peritonitis would last on mortality, which probably varies in each patient. Finally, the number of patients with unknown causes of death in the group free of peritonitis was much higher than that in the peritonitis group, and such an unequal distribution may interfere with the balance of observations.
In conclusion, peritonitis was independently associated with a higher risk of all-cause, infection-related and cardiovascular mortality, in those patients on peritoneal dialysis longer than 2 years who experienced a peritonitis. Given the poor outcome of peritonitis in the long-term PD patients, reducing the incidence rate of peritonitis remains the most important challenge in the management of this population of patients.
Additional files
The PH assumption for the assessment of the relationship between peritonitis and all cause mortality in peritoneal dialysis patients. Table S2. The different models if considering only the first peritonitis in the Cox model for the study outcomes. Table S3. Illustration for the follow-up time and how to parameterize peritonitis as a time-dependent for analysis in the COX regression model. Table S4. The interactions between age and peritonitis for the assessment of the risk for mortality. Table S5. The HRs of peritonitis for all-cause and infection-related mortality progressively by year in the COX proportional hazards models (DOC 97 kb)
Acknowledgements
Thanks for the kind suggestions for the methodology by professor Weiqing Chen.
Funding
This work was supported by the Key Clinical Discipline Program of the Ministry of Health, China (Grant No. [2010]439), the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (Grant No. 2011BAI10B05), the Program of National Key Clinical Specialties, and Guangzhou Committee of Science and Technology, China (Grant No. 2010 U1-E00831).
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Authors’ contributions
HY and QZ contributed equally to this work. They proposed the conception and design of the work, did the acquisition, analysis and interpretation of data for the work. They did the drafting of the work, provided the final approval of the version to be published, and both agreed to be accountable for all aspects of the work. LF, QG, HM, and FH provided substantial contribution to the acquisition, analysis and interpretation of data for the work, drafting of the manuscript, final approval of the version to be published and agreement to be accountable for all aspects of the work. XY1 and XY2 are the senior authors and main contributor to the conception and design, analysis and interpretation of data for the work, drafting of the work, final approval of the version to be published and agreement to be accountable for all aspects of the work. All authors read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
Consent for publication
Not applicable.
Ethics approval and consent to participate
The study protocol was consistent with the ethical principles of the Helsinki Declaration and was approved by the Ethics Committee of The First Affiliated Hospital, Sun Yat-sen University. All participants were asked for permission to use their medical data for a non-commercial study, and written informed consent was obtained from them at the initiation of PD follow-up.
Publisher’s Note
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Abbreviations
- CI
Confidence interval
- CV
Cardiovascular
- CVD
Cardiovascular disease
- DM
Diabetes mellitus
- ESRD
End-stage renal disease
- HR
Hazard ratio
- IQR
Interquartile range
- PD
Peritoneal dialysis;
- SD
Standard deviation
Footnotes
Electronic supplementary material
The online version of this article (doi:10.1186/s12882-017-0588-4) contains supplementary material, which is available to authorized users.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
The PH assumption for the assessment of the relationship between peritonitis and all cause mortality in peritoneal dialysis patients. Table S2. The different models if considering only the first peritonitis in the Cox model for the study outcomes. Table S3. Illustration for the follow-up time and how to parameterize peritonitis as a time-dependent for analysis in the COX regression model. Table S4. The interactions between age and peritonitis for the assessment of the risk for mortality. Table S5. The HRs of peritonitis for all-cause and infection-related mortality progressively by year in the COX proportional hazards models (DOC 97 kb)
Data Availability Statement
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.