Open Access

Effect of end-stage renal disease on long-term survival after a first-ever mechanical ventilation: a population-based study

Critical Care201519:354

https://doi.org/10.1186/s13054-015-1071-x

Received: 15 May 2015

Accepted: 18 September 2015

Published: 1 October 2015

Abstract

Introduction

Patients with end-stage renal disease (ESRDPos) usually have multiple comorbidities and are predisposed to acute organ failure and in-hospital mortality. We assessed the effect of ESRD on the poorly understood long-term mortality risk after a first-ever mechanical ventilation (1-MV) for acute respiratory failure.

Methods

The data source was Taiwan’s National Health Insurance (NHI) Research Database. All patients given a 1-MV between 1999 and 2008 from one million randomly selected NHI beneficiaries were identified (n = 38,659). Patients with or without ESRD (ESRDNeg) after a 1-MV between 1999 and 2008 were retrospectively compared and followed from the index admission date to death or the end of 2011. ESRDPos patients (n = 1185; mean age: 65.9 years; men: 51.5 %) were individually matched to ESRDNeg patients (ratio: 1:8) using a propensity score method. The primary outcome was death after a 1-MV. The effect of ESRD on the risk of death after MV was assessed. A Cox proportional hazard regression model was used to assess how ESRD affected the mortality risk after a 1-MV.

Results

The baseline characteristics of the two cohorts were balanced, but the incidence of mortality was higher in ESRDPos patients than in ESRDNeg patients (342.30 versus 179.67 per 1000 person-years; P <0.001; covariate-adjusted hazard ratio: 1.43; 95 % confidence interval: 1.31–1.51). For patients who survived until discharge, ESRD was not associated with long-term (>4 years) mortality.

Conclusions

ESRD increased the mortality risk after a 1-MV, but long-term survival seemed similar.

Introduction

End-stage renal disease (ESRD) is becoming more common worldwide, especially in Taiwan. Since 2000, the incidence and prevalence of ESRD have increased [1]. According to the United States Renal Data System, Taiwan had the highest incidence (418 per million population) and prevalence (2226 cases per million population) of patients on chronic dialysis between 2000 and 2007 [2]. From 2006 to 2010, the number of patients on chronic dialysis increased from 52,081 to 65,883 (+26.5 %) [3, 4]. Because of their frequent multiple comorbidities, patients with ESRD (ESRDPos) are prone to developing acute critical illnesses and have a higher mortality than do those without ESRD (ESRDNeg) [511]. However, whether ESRD per se increases the risk of short-term and long-term mortality after critical illnesses remains controversial [12, 13]. For example, several small cohort studies report that critically ill patients with ESRD have a higher risk of short-term mortality than do those without ESRD [8, 14, 15], and preexisting chronic kidney disease (CKD) indeed has a marked effect on the development of acute renal failure, 30-day, and 1-year mortality in critically ill patients who require mechanical ventilation (MV) [16]. Others, however, have found different results [7, 13]. One large cohort study showed that critically ill ESRDPos patients had a similar 1-year mortality rate to those without kidney dysfunction after age, illness severity, and admission type had been adjusted for [13]. Presumably, the observed difference in mortality in other studies is largely because of differences in the burden of comorbidities and the severity of acute illnesses rather than because of ESRD [7, 13]. Given these conflicting results, additional research on longer-term outcomes of these patients is needed.

MV is a life-support measure for patients with acute respiratory failure (ARF), who have a high rate of in-hospital mortality (up to 35 %) [17]. When ESRDPos patients undergo MV, there is a high rate of weaning failure and mortality [18, 19]. Moreover, when MV is prolonged, the outcomes for these patients become even worse, with 1-year mortality as high as 60 % [20]. However, whether ESRD predicts a worse long-term outcome in patients who undergo MV is not known.

Studies on critically ill ESRDPos patients focus primarily on those admitted to the intensive care unit (ICU) [6, 11]. However, not all patients with critical illnesses are admitted to the ICU [21, 22]. Therefore, these studies usually have a selection bias. Moreover, ordering an invasive MV is usually a major critical decision for life-support measures in ESRDPos patients, whether or not they are admitted to the ICU. Information on the effects of ESRD on patients who undergo MV, instead of those admitted to the ICU, would be more relevant for patients. Therefore, we investigated the long-term outcomes of ESRDPos patients who underwent their first-ever MV (1-MV).

Methods

Data source

The data used in this study are from the National Health Insurance Research Database (NHIRD) established by Taiwan’s National Health Research Institute (NHRI) to improve medical research. Taiwan’s NHI program, instituted in March 1995, provides coverage for more than 99 % of the country’s legal residents; therefore, the NHIRD offers detailed healthcare services information on clinical visits for each insured beneficiary, using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic and procedure codes [23]. In the present study, data used came from the Longitudinal Health Insurance Database 2000 (LHID2000) [24], a sub-dataset of the NHI program, which contains all claims data, from 1996 to 2011, of one million NHI beneficiaries (about 4.34 % of the total population) who were randomly selected from the year 2000 Registry of Beneficiaries of the NHIRD. There are no significant differences in gender distribution between beneficiaries in the LHID2000 and the NHIRD. The study was done according to the Declaration of Helsinki and was approved by the Institutional Review Board (IRB) at Chi Mei Medical Center (10308-E01). The IRB waived the need for informed consent from the enrolled participants because the data used in this study consists of nationwide, de-identified, secondary data released to the public for research purposes. This waiver does not adversely affect the rights and welfare of the enrollees.

Patient selection and definition

We enrolled all inpatients with a 1-MV for ARF during their first hospitalization between 1999 and 2008 (n = 38,659). ESRDPos patients (ICD-9-CM code 585) were detected using the NHI’s catastrophic illness certification records, which included those who had undergone regular dialysis for at least 3 months. Those who were diagnosed with ESRD after a 1-MV were excluded (n = 1,013). The enrolled ESRDPos patients (n = 1,331) were then, using propensity score matching and the greedy matching algorithm (without replacement), individually matched to ESRDNeg controls in a 1:8 ratio. The propensity score, i.e., the probability of being ESRDPos, was estimated using a logistic regression model conditional on the covariates age, sex, length of ICU stay, length of hospital stay, duration of MV, department to which admitted, number of organ failures (other than respiratory and renal systems) [25], and individual comorbidities: diabetes mellitus (DM), hypertension (HTN), coronary artery disease (CAD), cirrhosis, chronic obstructive pulmonary disease (COPD), cancer, stroke, and congestive heart failure (CHF) (Additional file 1). Propensity score matching was used to reduce selection bias because it can bundle many confounding covariates that might be present in an observational study with this number of variables. The characteristics of the two groups were balanced after the propensity score matching (Table 1).
Table 1

Baseline characteristics of the study participants before and after propensity score matching

 

Before propensity score matching

After propensity score matching

Variables

ESRDPos

ESRDNeg

P

ESRDPos

ESRDNeg

P

Total

1331 (3.54)

36,315 (96.46)

 

1185 (11.11)

9480 (88.89)

 

Age, years (mean ± SD)

65.02 ± 12.97

62.84 ± 20.65

<0.0001

65.90 ± 13.47

65.48 ± 14.99

0.3005

Age group, years

  

<0.0001

  

0.8569

 <50

159 (11.95)

8454 (23.28)

 

152 (12.83)

1264 (13.33)

 

 50–64

422 (31.71)

7079 (19.49)

 

339 (28.61)

2731 (28.81)

 

65

750 (56.35)

20,782 (57.23)

 

694 (58.57)

5485 (57.86)

 

Sex

  

<0.0001

  

0.2491

 Female

689 (51.77)

13,407 (36.92)

 

575 (48.52)

4432 (46.75)

 

 Male

642 (48.23)

22,908 (63.08)

 

610 (51.48)

5048 (53.25)

 

Comorbidity

      

 Diabetes

703 (52.82)

9779 (26.93)

<0.0001

568 (47.93)

4379 (46.19)

0.2573

 Hypertension

903 (67.84)

15,755 (43.38)

<0.0001

757 (63.88)

5954 (62.81)

0.4697

 CAD

458 (34.41)

8173 (22.51)

<0.0001

377 (31.81)

2948 (31.10)

0.6153

 Liver cirrhosis

137 (10.29)

2954 (8.13)

0.0048

120 (10.13)

1025 (10.81)

0.4722

 COPD

175 (13.15)

8715 (24.00)

<0.0001

175 (14.77)

1394 (14.70)

0.9538

 Cancer

184 (13.82)

7912 (21.79)

<0.0001

183 (15.44)

1475 (15.56)

0.9172

 Stroke

368 (27.65)

9952 (27.40)

0.8448

343 (28.95)

2711 (28.60)

0.8027

 CHF

279 (20.96)

5024 (13.83)

<0.0001

215 (18.14)

1699 (17.92)

0.8514

Department to which admitted

  

<0.0001

  

0.6634

 Surgery

325 (24.42)

14,358 (39.54)

 

324 (27.34)

2649 (27.94)

 

 Medical

1006 (75.58)

21,957 (60.46)

 

861 (72.66)

6831 (72.06)

 

Number of organ failures (other than lungs and kidneys)

  

<0.0001

  

0.8884

 0

960 (72.13)

28,900 (79.58)

 

867 (73.16)

6979 (73.62)

 

 1

346 (26.00)

6779 (18.67)

 

294 (24.81)

2298 (24.24)

 

2

25 (1.88)

636 (1.75)

 

24 (2.03)

203 (2.14)

 

Ventilator duration (days) (continuous)

11.69 ± 25.34

18.15 ± 84.99

<0.0001

11.57 ± 25.23

11.93 ± 29.57

0.6494

ICU days, mean ± SD

10.25 ± 16.48

9.75 ± 17.18

0.2839

9.93 ± 15.32

10.07 ± 17.18

0.7883

Hospital days, mean ± SD

24.06 ± 28.14

25.28 ± 54.04

0.1391

23.92 ± 28.21

22.89 ± 32.11

0.2444

Data are number (percentages) unless otherwise specified

ESRD end stage renal disease, ESRD Pos patients with ESRD, ESRD Neg patients without ESRD, CAD coronary artery disease, COPD chronic obstructive airway disease, CHF congestive heart disease, ICU intensive care unit

Endpoint

The primary endpoint (outcome) of the study was death after MV. Patients were followed from the index admission date to death or to the end of 2011. The secondary endpoint was to identify the risk factors for all-cause mortality after a 1-MV. We hypothesized that mortality is higher in ESRDPos patients than in ESRDNeg patients who require MV. The demographic and clinical characteristics of age; sex; length of hospital stay, length of ICU stay, and duration of MV; department to which admitted; number of organ failures; and comorbidities were used to estimate the mortality risk.

Statistical analysis

Differences in baseline characteristics between groups were evaluated using Pearson’s χ2 test for categorical variables and Student’s t test for continuous variables. The incidence rate (IR) of death was calculated as cases per person-year. The overall and subgroup-specific relative mortality risks between the two groups were estimated using the incidence rate ratio (IRR) with a 95 % confidence interval (CI) using the Poisson assumption. The actuarial survival rate of the two groups was determined using the Kaplan-Meier method, and a log-rank test was used to compare the difference between the two survival curves. The effect of ESRD on the mortality risk after MV was assessed using a Cox proportional hazards regression model. Covariates included in the Cox model were those used in the propensity score matching (mentioned in the “Patient selection and definition” subsection above). The proportional hazard assumption was verified using plots of natural log transformed (ln) (survival function) versus ln (time). The data are mean ± standard deviation or number (percentages). Significance was set at P <0.05. SAS 9.3.1 for Windows (SAS Institute, Cary, NC, USA) was used for all analyses.

Results

The initial survey included 37,646 patients. After matching, 10,665 patients with a 1-MV (ESRDPos: 1185 and ESRDNeg: 9480) were selected. Before propensity score matching, the ESRDPos group contained more patients who were older, female, and had comorbid DM, HTN, CAD, cirrhosis, and CHF, and contained fewer patients who had COPD and cancer, a higher prevalence of one or more organ failures, and fewer days on MV than did ESRDNeg patients (Table 1). In addition, about 12.17 % (162/1331) of the ESRDPos patients and 9.76 % (3545/36,315) of the ESRDNeg patients had undergone MV outside the ICU (data not shown). After propensity score matching, with the correction of all the above variables, 1185 (90.39 %) of the 1331 ESRDPos patients were matched to 9480 ESRDNeg controls (Table 1). The mortality rate of ESRDPos patients was nearly twice as high as that of ESRDNeg patients (IRR = 1.92) (Table 2). The risk difference in mortality between the two groups was significant across all subgroups with the exception of those with liver cirrhosis, cancer, and multiple organ failure. The highest risk difference was for patients admitted to the Surgery Department (IRR = 2.95), and the lowest was for patients with CHF (IRR = 1.35). In follow-ups within 4 years, ESRDPos patients had a higher mortality rate (IRR, 0–6 months: 1.59; 6–12 months: 1.84; 1–2 years: 1.65 and 2–4 years: 1.69). After 4 years of follow-up, however, there was no significant difference in mortality rates between ESRDPos and ESRDNeg patients. The 30-day, 6-month, and 1-, 2-, 5-, and 10-year survival rate differences in the ESRDPos and ESRDNeg groups from the beginning are listed in Additional file 2.
Table 2

The overall and subgroup-specific incidence rates (IR) and incidence rate ratios (IRR) of death between ESRDPos patients and matched ESRDNeg controls

Variables

ESRDPos patients

ESRDNeg controls

IRR (95 % CI)

P

 

Total (n)

Death (n)

IR (per 1000 person-years)

Total (n)

Death (n)

IR (per 1000 person-years)

  

All

1185

898

342.30

9480

5806

179.67

1.92 (1.79–2.07)

<0.0001

Age group, years

 <50

152

90

175.34

1264

509

80.90

2.17 (1.73–2.71)

<0.0001

 50–64

339

241

261.52

2731

1481

142.16

1.84 (1.61–2.11)

<0.0001

65

694

567

477.04

5485

3816

244.53

1.95 (1.79–2.13)

<0.0001

Sex

 Male

610

474

388.34

5048

3102

179.79

2.16 (1.96–2.38)

<0.0001

 Female

575

424

302.25

4432

2704

179.64

1.68 (1.52–1.86)

<0.0001

Comorbidity

 Diabetes

568

447

411.98

4379

2946

224.98

1.83 (1.66–2.02)

<0.0001

 Hypertension

757

570

336.70

5954

3764

193.81

1.74 (1.59–1.90)

<0.0001

 CAD

377

293

386.34

2948

1830

181.80

2.13 (1.88–2.40)

<0.0001

 Liver cirrhosis

120

101

481.91

1025

839

449.78

1.07 (0.87–1.32)

0.5123

 COPD

175

153

602.27

1394

960

219.92

2.74 (2.31–3.25)

<0.0001

 Cancer

183

138

339.96

1475

1068

294.69

1.15 (0.97–1.38)

0.1142

 Stroke

343

278

463.19

2711

1852

236.90

1.96 (1.72–2.22)

<0.0001

 CHF

215

161

338.72

1699

1179

251.31

1.35 (1.14–1.59)

0.0004

Department to which admitted

 Surgery

324

225

257.56

2649

1133

87.26

2.95 (2.56–3.41)

<0.0001

 Medical

861

673

384.60

6831

4673

241.73

1.59(1.47–1.72)

<0.0001

Number of organ failures (other than lungs and kidneys)

 0

867

633

290.32

6979

3812

136.93

2.12 (1.95–2.31)

<0.0001

 1

294

245

589.45

2298

1818

430.62

1.37 (1.20–1.56)

<0.0001

2

24

20

728.53

203

176

691.46

1.05 (0.66–1.67)

0.8249

Follow-up

 0–6 month

1185

717

2497.50

9480

4445

1571.80

1.59 (1.47–1.72)

<0.0001

 6–12 months

468

44

197.37

5035

263

107.515

1.84 (1.33–2.53)

0.0002

 1–2 years

424

46

115.34

4772

321

69.83

1.65 (1.21–2.25)

0.0015

 2–4 years

378

52

76.36

4451

374

45.28

1.69 (1.26–2.25)

0.0004

 4–6 years

292

22

45.21

3616

186

30.25

1.49 (0.96–2.32)

0.0747

 > = 6 years

196

17

31.08

2537

217

27.01

1.15 (0.70–1.89)

0.5570

ESRD end stage renal disease, ESRD Pos with ESRD, ESRD Neg without ESRD, IRR incidence rate ratio, CI confidence interval, IR incidence rate, CAD coronary artery disease, COPD chronic obstructive airway disease, CHF congestive heart disease

ESRDPos patients after a 1-MV showed a precipitous decline in mortality early on, and a parallel course thereafter, which suggests that although the starting point is lower, the trajectory has not changed (Fig. 1). After 4 years, the survival curves seem to be almost parallel, which might indicate that ESRD increases short-term but not long-term mortality. Patients who were older, had more organ failures, and had been admitted to the Surgery Department had a significantly higher mortality (Fig. 2a–c), but there was no significant difference in the survival rate between males and females (Fig. 2d).
Fig. 1

Kaplan-Meier survival curves of ESRDPos patients and ESRDNeg controls. ESRD end stage renal disease

Fig. 2

Kaplan-Meier survival curves of different groups: (a) age; (b) number of organ failures; (c) departments to which patients were admitted; (d) sex

ESRDPos patients had a lower survival rate than did ESRDNeg patients (hazard ratio [HR] 1.43; 95 % CI: 1.33–1.54). In addition to ESRD, some important factors predicting mortality for patients after a 1-MV included older age (50–64 years old: HR = 1.50; ≥65 years old: HR = 2.03: compared with 0–50 years old), being female (HR = 0.94), admitted to a surgery department (0.64), more organ failures (1: HR = 1.85; ≥2: HR = 2.46: compared with 0), DM (HR = 1.18), liver cirrhosis (HR = 1.61), cancer (1.49), stroke (1.26), and CHF (1.17) (Table 3). The HR of death in ESRDPos patients treated with MV is shown in Additional file 3.
Table 3

Crude and adjusted hazard ratios (HR) of death in all ventilated patients (derived using Cox proportional hazard regression models)

Cohort

Crude HR (95 % CI)

Adjusted HR (95 % CI)

ESRD

 Yes

1.47 (1.36–1.57)

1.43 (1.33–1.54)

 No

1.00

1.00

Age (years)

 0–50

1.00

1.00

 50–64

1.51 (1.37–1.66)

1.50 (1.36–1.65)

65

2.18 (1.99–2.38)

2.03 (1.85–2.23)

Sex

 Female

1.00 (0.95–1.05)

0.94 (0.89–0.99)

 Male

1.00

1.00

Comorbidity

 Diabetes

1.30 (1.24–1.36)

1.18 (1.13–1.25)

 Hypertension

1.10 (1.05–1.16)

0.99 (0.94–1.05)

 Coronary artery disease

1.00 (0.95–1.06)

0.93 (0.88–1.01)

 Liver cirrhosis

1.90 (1.77–2.04)

1.61 (1.50–1.74)

 COPD

1.20 (1.12–1.28)

1.01 (0.95–1.08)

 Cancer

1.33 (1.24–1.41)

1.49 (1.39–1.59)

 Stroke

1.28 (1.21–1.34)

1.26 (1.19–1.33)

 CHF

1.24 (1.17–1.32)

1.17 (1.10–1.25)

Department to which admitted

 Surgery

0.50 (0.47–0.53)

0.64 (0.60–0.68)

 Medical

1.00

1.00

Number of organ failures (other than lungs and kidneys)

 0

1.00

1.00

 1

2.14 (2.03–2.26)

1.85 (1.75–1.95)

 ≥2

2.79 (2.41–3.23)

2.46 (2.12–2.86)

Ventilator duration (days) (continuous)

1.00 (1.00–1.00)

1.00 (1.00–1.00)

ICU stay (days) (continuous)

1.00 (1.00–1.00)

1.00 (1.00–1.01)

Hospital stay (days) (continuous)

0.99 (0.99–1.00)

1.00 (0.99–1.00)

HR hazard ratio, CI confidence interval, ESRD end-stage renal disease, COPD chronic obstructive airway disease, CHF congestive heart disease, ICU intensive care unit

Discussion

We found that after age, severity of illness, comorbidities, and department to which admitted had been adjusted for, ESRD after a 1-MV was associated with a higher risk for mortality (HR = 1.43), regardless of whether the patient had been admitted to the ICU. We also found that about 9.85 % (3707/37,646) of ESRDPos 1-MV patients had never been admitted to the ICU (data not shown), which is consistent with other reports [21, 22]. The present study appears to be the first to describe long-term outcomes of ESRDPos patients with a 1-MV and to include patients not admitted to the ICU. Our findings are compatible with most other studies on ESRDPos patients admitted to the ICU. One study of 276,731 adults admitted to the ICU reported that after the patients had been discharged from the ICU, in-hospital mortality rates were much higher in ESRDPos patients than in ESRDNeg patients (45.3 % versus 31.2 %; P <0.001) [9].

Go et al. also showed that ESRDPos patients have a relative risk for all-cause mortality 5.9 times greater than do patients with healthy renal function [26]. Another study reported that ESRDPos patients had higher rates of ICU and in-hospital mortality than did matched pairs of patients (23.1 % versus 15.1 %, and 31.2 % versus 19.1 %, P <0.05) [10]. Other studies have reported that critically ill patients on chronic dialysis are estimated to have the following mortality rates: in-hospital: 14 % to 56 %, 30-day: 32 % to 41 %, and 90-day: 42 % to 44.6 % [6], and that longer-term mortality rates might be as high as 38 % (6 months) and 48 % (12 months) [27]. There are few studies on the long-term outcomes of ESRDPos patients after a 1-MV, except for one on 47 patients, which reported an overall cumulative proportional in-hospital survival rate of only 17 %, a 1-year rate of 40 %, and a 3-year rate of 25 % [18]. Liao et al. also said that ESRDPos patients had a significantly higher mortality rate than did ESRDNeg patients (76.7 % versus 28.8 %) 1 year after traumatic brain injury [28]. Those studies were exclusively on patients admitted to the ICU, however.

In contrast, others have found different results. A large population-based cohort study of nonspecific critically ill patients (5693 admissions) showed that any kidney dysfunction is associated with an increased risk for long-term death, with the exception of ESRDPos patients, who had outcomes similar to those of patients with no kidney dysfunction [13]. Strijack et al. [7] said that the unadjusted in-hospital mortality rate was higher for ESRDPos patients (16 % versus 11 %), but that this difference did not persist after an adjustment for baseline illness severity, and that the higher mortality rate was due to comorbidity but not to ESRD itself. Moreover, Chapman et al. [29] reported that ESRDPos patients who were alive after they had been discharged from the ICU had a 2-year survival rate of 56 %, but that the long-term mortality rate between ESRDPos patients and matched ESRDNeg controls was similar after excluding patients who had died within a month of being discharged from the ICU [29]. We thought that because of different inclusion criteria, critically ill ESRDPos patients might have different long-term outcomes because they have different comorbidities. Despite possible bias, including possible MV patients not admitted to the ICU, and matching using propensity scores, our study showed that ESRDPos patients with a 1-MV had a higher IRR of death per 1000 person-years than did almost all the groups (stratified by age, sex, department admitted by, number of organ failures, and comorbidities) and a higher covariate-adjusted HR (1.43) than did ESRDNeg controls. The long-term outcomes and the long-term mortality rates of those who survived for more than 4 years after they had been discharged from the hospital were similar between ESRDPos and ESRDNeg patients.

After a Cox proportional hazards analysis, we showed that the mortality predictors of our patients treated with MV included ESRD, older age, and being male, findings consistent with the literature. Other researchers have reported that ESRD predicted in-hospital or 30-day mortality in patients with ARF and MV admitted to the ICU in spite of aggressive treatment [19, 30], and that for patients with prolonged MV, ESRD also predicted 1-year mortality [20]. Moreover, many studies have reported the effect of age on the mortality of patients treated with MV [13, 20, 3034]. For example, a retrospective study [34] of 61,113 patients treated with MV showed that factors independently associated with an increased mortality rate included being >80 years old, and two recent studies also reported that older age was a consistent hazard [30, 32]. Esteban et al. [31], too, said that older age (40–70 years: HR = 1.60 and >70 years: HR = 2.11, compared with <40 years) was associated with a higher ICU mortality rate in 5183 patients treated with MV, which is in line with our finding.

In addition, the influence of sex on mortality rates in patients treated with MV is inconsistent. One study reported that women had a greater risk for in-hospital mortality [35], but another reported no such association [30]. In contrast, two large studies showed that being male predicted higher in-hospital mortality in patients treated with MV [36, 37]. Our study showed no significant differences in survival between the sexes, but the difference was significant after bias had been adjusted for. Differences in inclusion criteria, race, population-based cohorts, and geographic distribution make it difficult to generalize the effect of sex on critically ill patients.

Our study is also consistent with the literature, which shows that patients admitted to medical rather than surgical departments have more organ failures, and that comorbidities (e.g., DM, liver cirrhosis, cancer, stroke, and CHF) predicted worse outcomes. Manzano et al. found that a medical department admission was a significant predictor of mortality in patients requiring MV [38]. Other studies report that multiple organ failure is independently associated with mortality in patients with MV [30, 34, 39]. Similarly, the comorbidities of DM, CHF, stroke, liver cirrhosis, and cancer have been reported as independent predictors of short-term and long-term mortality in patients with MV [30, 32, 34, 38, 40, 41], which is consistent with our findings.

We also found that ESRDPos patients with MV were older, more often admitted to medical departments; and more often had comorbid DM, HTN, CAD, liver cirrhosis, and CHF than did ESRDNeg patients before matching, although these factors could also be mortality contributors after matching. This was consistent with other studies [9, 10, 26]. In general, patients on long-term dialysis admitted to the ICU tend to have higher illness severity scores and multiple comorbidities, and to need more medical resources than does the general population [1].

Strengths and limitations

Our study has some strengths. First, it is a large population-based analysis of the effect of ESRD on patients given a 1-MV, which includes patients not admitted to the ICU; this differentiates the present study from others. Second, the nationwide study design largely reduced the effect of referral bias, which is often seen in critical care studies.

Our study also has some limitations. First, all diagnoses, including comorbidities, relied on the claims data and ICD-9-CM diagnosis codes, which might lead to disease misclassification. Second, the NHIRD does not differentiate the stages of CKD in ESRDNeg patients. Third, we were unable to take into account the illness severity scores of ESRDPos patients with MV because the data were unavailable; thus, we included the number of organ failures as a proxy for severity. Fourth, as in all observational studies, our study might contain some residual confounding; thus, it cannot show causality but only association between risk factors and mortality. Fifth, we excluded 146 ESRDPos patients (>10 %) because we were unable to match them with ESRDNeg patients; this might contribute bias to our conclusions. Finally, not all patients were admitted to the ICU, which might have affected our evaluations of outcomes.

Conclusions

Regardless of whether a patient is admitted to the ICU, being ESRDPos significantly increases the risk of death within 4 years after a 1-MV. After 4 years, however, survival rates are not significantly different. In addition to ESRD, older age, being male, being admitted by a medical department, multiple organ failure, and a history of comorbidities (DM, liver cirrhosis, cancer, stroke, and CHF) are associated with a higher mortality rate after a 1-MV. Physicians should keep these high-risk groups in mind and explain the prognosis to patients’ families when treating critical patients undergoing a 1-MV.

Key messages

  • ESRD-positive patients who underwent their first-ever mechanical ventilation were older, more often female, admitted to a medical department, had comorbid diabetes mellitus, hypertension, coronary artery disease, liver cirrhosis, and congestive heart failure than did ESRD-negative control patients before propensity score matching.

  • After matching, the mortality rate of ESRD-positive patients was nearly twice as high as that of ESRD-negative patients.

  • ESRD-positive patients had a significantly higher risk of death within 4 years after a first-ever mechanical ventilation, whether or not they were admitted to the intensive care unit.

  • After 4 years of follow-up, however, there was no significant difference in mortality rates between ESRD-positive and ESRD-negative patients.

  • In addition to ESRD, older age, being male, being admitted by a medical department, multiple organ failure, and a history of comorbid diabetes mellitus, liver cirrhosis, cancer, stroke, and congestive heart failure are associated with a higher mortality rate after a first-ever mechanical ventilation.

Abbreviations

1-MV: 

first-ever mechanical ventilation

ARF: 

acute respiratory failure

CAD: 

coronary artery disease

CHF: 

congestive heart failure

CI: 

confidence interval

CKD: 

chronic kidney disease

COPD: 

chronic obstructive pulmonary disease

DM: 

diabetes mellitus

ESRD: 

end-stage renal disease

ESRDNeg

controls without ESRD

ESRDPos

patients with ESRD

HR: 

hazard ratio

HTN: 

hypertension

ICD-9-CM: 

International Classification of Diseases, Ninth Revision, Clinical Modification

ICU: 

intensive care unit

IR: 

incidence rate

IRB: 

Institutional Review Board

IRR: 

incidence rate ratio

LHID2000: 

Longitudinal Health Insurance Database 2000

MV: 

mechanical ventilation

NHIRD: 

National Health Insurance Research Database

NHRI: 

National Health Research Institute

Declarations

Acknowledgments

We thank the staff of the Taiwan Bureau of National Health Insurance, Bureau of Health Promotion, and Department of Health. This research was funded by grant number CMFHR10446 from Chi-Mei Medical Center.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Recreation and Health-Care Management, Chia Nan University of Pharmacy and Science
(2)
Department of Hospital and Health Care Administration, Chia Nan University of Pharmacy and Science
(3)
Southern Taiwan University of Science and Technology
(4)
Department of Intensive Care Medicine, Chi Mei Medical Center
(5)
Department of Internal Medicine, Chi Mei Medical Center
(6)
Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University
(7)
Department of Intensive Care Medicine, Chi Mei Medical Center
(8)
Department of Safety, Health and Environment, Chung Hwa University of Medical Technology
(9)
Department of Public Health, College of Medicine, National Cheng Kung University

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Copyright

© Chen et al. 2015

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