Literature DB >> 34276978

Statin use and survival among ESKD patients hospitalized with sepsis.

Albert S Yu1, Brannen Liang1, Su-Jau T Yang2, Brendan J Kim1, Cheng-Wei Huang3, John J Sim4.   

Abstract

Entities:  

Year:  2021        PMID: 34276978      PMCID: PMC8280931          DOI: 10.1093/ckj/sfab001

Source DB:  PubMed          Journal:  Clin Kidney J        ISSN: 2048-8505


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Sepsis is a common cause of mortality in hospitalized patients in the USA and worldwide [1]. Among patients with end-stage kidney disease (ESKD), sepsis is the second most common known cause of mortality, trailing only mortality from cardiac causes [2]. Sepsis is presumed to arise from the dysregulation of the immune response to infection [3]. Although standard treatment relies on maintaining tissue perfusion and initiation of empiric antibiotics, statins have been implicated as having a potential mortality benefit in sepsis [4]. Widely known for their lipid-lowering properties, statins are also thought to have inherent anti-inflammatory properties [5]. Although chronic kidney disease is a risk-enhancing factor for atherosclerotic cardiovascular disease, the most recent guidelines provided by the American Heart Association do not recommend the initiation of statins for adults requiring dialysis treatment based on lack of cardiovascular benefit [6]. Supporting this guideline, rosuvastatin was shown not to have a significant benefit in composite cardiovascular death, nonfatal myocardial infarction and stroke in patients receiving hemodialysis [7]. However, to date, studies have not investigated whether statins affect sepsis mortality in the ESKD population. Thus, we sought to determine whether chronic statin use was associated with mortality benefits among ESKD patients hospitalized for sepsis within the Kaiser Permanente Southern California (KPSC) healthcare system. A retrospective cohort study was performed among patients admitted to the hospital with a diagnosis of both sepsis and ESKD [obtained through the International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) and ICD-10-CM] between 1 January 2008 and 30 September 2018. The KPSC ESKD population is racially/ethnically diverse and generally reflective of the KPSC membership population [8, 9]. Statin users were defined as those having filled two prescriptions for a statin within 6 months prior to admission, with the second prescription filled within 30 days prior to admission based on the KPSC pharmacy and analytic database. The primary outcome of 30-day all-cause mortality was analyzed unweighted and weighted using the Inverse Probability Treatment Weighting (IPTW) method. A total of 8858 patients were included in our study, with 2820 on statins and 6038 not on statins at the time of admission for sepsis. At baseline, there were differences between statin users and non-users in age, sex, race and comorbidities such as heart disease, hypertension, cerebrovascular disease and diabetes (Table 1). Thus, we used the IPTW method to create synthetic groups to more adequately compare the effect of statin exposure. After IPTW, statin users and non-users were similar across many of the covariates analyzed such as sex, race, heart failure, ischemic heart disease, cerebrovascular disease and renin angiotensin system blocker use. However, significant differences between statin users and non-users remained for hypertension, diabetes, hyperlipidemia and use of beta-blockers (Table 1).
Table 1.

Patient characteristics before and after IPTW

Unweighted
Weighted
TotalStatin user
P-valueTotalStatin user
P-value
YesNoYesNo
N885828206038885828206038
Age, years
 <45703 (7.9)101 (3.6)602 (10.0)<0.0001671 (7.6)193 (6.8)478 (7.9)0.0543
 45–642999 (33.9)774 (27.4)2225 (36.8)2951 (33.3)914 (32.4)2038 (33.7)
 ≥655156 (58.2)1945 (69.0)3211 (53.2)5236 (59.1)1713 (60.8)3523 (58.3)
Sex0.02490.4299
 Female3765 (42.5)1150 (40.8)2615 (43.3)3799 (42.9)1227 (43.5)2572 (42.6)
 Male5093 (57.5)1670 (59.2)3423 (56.7)5059 (57.1)1593 (56.5)3466 (57.4)
Race<0.00010.9226
 White2762 (31.2)1011 (35.9)1751 (29.0)2759 (31.2)874 (31.0)1885 (31.2)
 Black1885 (21.3)520 (18.4)1365 (22.6)1883 (21.3)600 (21.3)1283 (21.2)
 Hispanic3070 (34.7)858 (30.4)2212 (36.6)3054 (34.5)963 (34.2)2091 (34.6)
 Asian1048 (11.8)408 (14.5)640 (10.6)1070 (12.1)354 (12.5)716 (11.9)
 Othera93 (1.1)23 (0.8)70 (1.2)92 (1.0)29 (1.0)63 (1.1)
Comorbidity
 Liver disease1406 (15.9)321 (11.4)1085 (18.0)<0.00011353 (15.3)399 (14.2)954 (15.8)0.0439
 Heart failure4771 (53.9)1649 (58.5)3121 (51.7)<0.00014837 (54.6)1580 (56)3256 (53.9)0.0636
 Chronic pulmonary disease2051 (23.2)678 (24.0)1373 (22.7)0.17562068 (23.3)666 (23.6)1403 (23.2)0.7016
 Ischemic heart disease4709 (53.2)1731 (61.4)2978 (49.3)<0.00014781 (54)1562 (55.4)3218 (53.3)0.0638
 Rheumatological disease148 (1.7)47 (1.7)101 (1.7)0.9834147 (1.7)45 (1.6)102 (1.7)0.8007
 Hypertension8460 (95.5)2788 (98.9)5672 (93.9)<0.00018510 (96.1)2742 (97.2)5768 (95.5)0.0001
 Cerebrovascular disease1169 (13.2)404 (14.3)765 (12.7)0.03191190 (13.4)395 (14)795 (13.2)0.2798
 Diabetes mellitus6745 (76.2)2328 (82.6)4417 (73.2)<0.00016868 (77.5)2259 (80.1)4609 (76.3)0.0001
 Dementia833 (9.4)268 (9.5)565 (9.4)0.8262847 (9.6)278 (9.9)569 (9.4)0.5062
 Malnutrition4458 (50.3)1382 (49.0)3076 (50.9)0.08944475 (50.5)1438 (51)3037 (50.3)0.5458
 Peptic ulcer disease529 (6.0)173 (6.1)356 (5.9)0.6587522 (5.9)164 (5.8)358 (5.9)0.8545
 Any malignancy4585 (51.8)1616 (57.3)2969 (49.2)<0.00014569 (51.6)1447 (51.3)3121 (51.7)0.740
 Prior transplantation1508 (17.0)522 (18.5)986 (16.3)0.0111490 (16.8)470 (16.7)1020 (16.9)0.795
 History of GI hemorrhage2224 (25.1)685 (24.3)1539 (25.5)0.22592214 (25)697 (24.7)1517 (25.1)0.688
 Alcohol/drug use987 (11.1)221 (7.8)766 (12.7)<0.0001944 (10.7)276 (9.8)668 (11.1)0.0647
 AIDS/HIV54 (0.6)16 (0.6)38 (0.6)0.72752 (0.6)16 (0.6)36 (0.6)0.7771
 Hyperlipidemia7602 (85.8)2734 (97.0)4868 (80.6)<0.00017688 (86.8)2503 (88.8)5184 (85.9)0.0002
Cardiovascular medications
 Digoxin392 (4.4)147 (5.2)245 (4.1)0.0138398 (4.5)127 (4.5)271 (4.5)0.9815
 Beta-blockers6032 (68.1)2176 (77.2)3856 (63.9)<0.00016121 (69.1)2000 (70.9)4121 (68.2)0.0107
 ACE inhibitors3090 (34.9)1110 (39.4)1980 (32.8)<0.00013122 (35.3)1009 (35.8)2114 (35)0.477
 Angiotensin receptor blockers1937 (21.9)716 (25.4)1221 (20.2)<0.00011979 (22.3)653 (23.1)1326 (22)0.2123
Immunosuppressants
 Biologics1106 (12.5)417 (14.8)689 (11.4)<0.00011105 (12.5)353 (12.5)753 (12.5)0.9664
 Oral corticosteroids2499 (28.2)894 (31.7)1605 (26.6)<0.00012521 (28.5)811 (28.8)1710 (28.3)0.6779
 DMARDs251 (2.8)83 (2.9)168 (2.8)0.6708253 (2.9)79 (2.8)173 (2.9)0.8696

Including multiple, Native American, Alaskan, other or unknown race. P-value was generated by Chi-square test for categorical variables and Kruskal–Wallis test.

Data are presented as n (%). GI, gastrointestinal; ACE, angiotensin-converting enzyme; DMARDs, disease-modifying anti-rheumatic drugs. Bolded values were considered significant as P-value <0.05.

Patient characteristics before and after IPTW Including multiple, Native American, Alaskan, other or unknown race. P-value was generated by Chi-square test for categorical variables and Kruskal–Wallis test. Data are presented as n (%). GI, gastrointestinal; ACE, angiotensin-converting enzyme; DMARDs, disease-modifying anti-rheumatic drugs. Bolded values were considered significant as P-value <0.05. Analysis of the IPTW 30-day mortality hazard ratio for ESKD patients hospitalized for sepsis demonstrated a mortality hazard ratio (HR) of 0.82 [95% confidence interval (CI) 0.74–0.91] for statin users compared with non-users. A similar effect was observed using an unweighted comparison, with a HR of 0.85 (95% CI 0.77–0.91). Furthermore, the effect persisted when comparing mortality between statin users and non-users at 90 days with a HR of 0.82 (95% CI 0.76–0.90) and 0.86 (95% CI 0.76–0.90) for weighted and unweighted comparisons, respectively. Our findings from a real-world population suggest that statin use is associated with lower mortality among ESKD patients hospitalized for sepsis. A strength of our study includes the large, diverse patient population obtained through the comprehensive electronic health records. Potential limitations of our study include the fact that we were not able to fully propensity match certain covariates such as hypertension, diabetes and hyperlipidemia between statin users and non-users, which may confound the interpretation of our findings. In addition, we did not have information on type of dialysis access (fistulas, grafts and catheters) for the entire study population. Nonetheless, our study sheds light on the potential benefits of statins in the ESKD population, a population that is highly prone to infections and infection-related mortality. Although previous studies have not demonstrated a cardiovascular mortality benefit from statin use in ESKD patients, statins have been shown to provide a mortality benefit in a subset of the ESKD population, such as those with acute myocardial infarction [10]. While additional studies are warranted, our findings suggest a potential benefit of statins for ESKD patients hospitalized for sepsis, a population that is highly susceptible to infections.

FUNDING

This work was supported and funded by the Kaiser Permanente Regional Research Committee and the KPSC Clinician Investigator Award (to J.J.S.).

CONFLICT OF INTEREST STATEMENT

None of the authors has any conflicts of interest relevant to this manuscript. The results presented in this paper have not been published previously in whole or part, except in abstract format.
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