Improved survival with continuation of statins in bacteremic patients

Abstract

Objectives:

Varying statin exposures in bacteremic patients have different impacts on mortality. Among patients with adherent statin use, we sought to evaluate the impact of statin continuation on inpatient mortality in bacteremic patients.

Methods:

A retrospective cohort study was conducted using Optum Clinformatics^TM with matched Premier Hospital data (October 2009–March 2013). Patients with a primary diagnosis of bacteremia and 6 months of continuous enrollment prior to the admission, receiving antibiotics at least 2 days of antibiotics during the first 3 days of admission, were selected for inclusion. Furthermore, patients demonstrating adherent statin use based on 90 days of continuous therapy prior to admission were included. We then compared those continuing statin therapy for at least the first 5 days after admission and those not continuing during the admission.

Results:

Simvastatin (53.2%) and atorvastatin (33.8%) were the most commonly used statins among the 633 patients who met our inclusion and exclusion criteria. Propensity score adjusted Cox proportional hazards regression models demonstrated significantly lower inpatient mortality among those continuing statin therapy compared with those not continuing (n = 232 vs 401, adjusted hazard ratio 0.25, 95% confidence interval 0.08–0.79).

Conclusion:

Among patients adherent to their statin therapy prior to a bacteremia hospitalization, continued statin use after admission increased survival by 75% compared with those not continuing.

Keywords

Bacteremia mortality statins exposure patterns protective effects

Introduction

Statins have been associated with improved survival among patients with infections,^1–7 in meta-analyses,^8,9 randomized trials, and observational studies.^4,5,7,10 The proposed pleiotropic effects with statins, including a reduced inflammatory response,^11,12 suggest that the critical period of exposure would be from time of onset of infection through the initial period of antibiotic therapy.^5,10,13 Importantly, that period of onset is likely to occur outside of the healthcare setting, and therefore there will be a delay between onset and presentation to receive care. In previous research, definitions of statin exposure vary widely between studies, tend to be overly broad, and rarely take into account statin therapy adherence.^3–5 This study sought to evaluate the impact of statin continuation during hospital admission compared with non-continuation, in a cohort of adherent statin users.

Methods

A retrospective cohort study design was used to assess inpatient mortality among adherent statin users. This study was conducted using de-identified Optum Clinformatics^TM (OptumInsight, Eden Prairie, MN) with matched Premier Hospital data (1 October 2009–31 March 2013), which is an administrative claims database from a large commercial health plan (Optum Clinformatics) matched with hospital data (Premier). Included in the analysis were adult patients (>18 years) with a primary diagnosis of bacteremia (International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes 003.1, 020.2, 022.3, 036.2, 038.0, 038.1, 038.10–038.12, 038.19, 038.2, 038.3, 038.40–038.44, 038.49, 038.8, 038.9, 054.5, 449, 771.81, 995.91, 995.92, and 790.7).¹⁴ We only included patients with hospital admissions between 1 April 2010 and 31 March 2013, to allow for a continuous enrollment period of 6 months prior to admission. Antibiotic therapy for each patient during the hospital stay was assessed. Patients who received at least 2 consecutive days of at least one antibiotic therapy for bacteremia^15
–18 within the first 3 days of the admission were included. For patients with multiple admissions for bacteremia, only the first admission was included. Medication use was identified from both outpatient prescriptions and medications given during the hospital stay. Charlson and Elixhauser comorbidity scores were defined using diagnosis codes.¹⁴

Using pharmacy claims, we identified prevalent statins users demonstrating adherence to their statin therapy, which was defined as patients who, irrespective of their statin initiation time, had at least 90 days of continuous statin exposure (i.e. atorvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin) in the 90 days prior to hospitalization. In terms of adherence measures, the proportion of days covered was therefore 100% for all included patients, at least 90 days of supply dispensed in the 90 days prior to admission. The proportion of days covered (PDC) of ⩾80% is commonly considered as good adherence for statins.^19,20 Statin exposure was further categorized as statin continuation, with at least 5 days of statin therapy after admission, and non-continuation after admission. Inpatient mortality was defined as death occurring during the hospital stay.

To identify baseline differences between the statin continuation and non-continuation groups, we reviewed demographic and clinical data including current and prior comorbidities.¹⁴ For categorical variables, if the assumptions for the chi-square test were not met, the Fisher’s exact test was utilized. For continuous variables, the non-parametric Wilcoxon Rank Sum test was used.

We developed a propensity score for statin continuation versus non-continuation. The propensity score was therefore the predicted probability of statin therapy continuation, as calculated from the baseline covariates included in an unconditional logistic regression model which was built with manual backward elimination.^21
–23 Patients from the statin continuation and non-continuation groups were stratified by propensity score quintile to achieve homogeneity between exposure groups within quintiles of the predicted probability of statin continuation.²⁴ To evaluate the association of continued statin use and in-hospital mortality, we used a Cox proportional hazards model. All statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC) and statistical significance was considered a p-value of ⩽0.05. This study was reviewed and approved as exempt by the University of Rhode Island’s Institutional Review Board.

Results

We identified 633 patients who met our inclusion and exclusion criteria (Figure 1). This included 232 patients with statin continuation and 401 with non-continuation. In comparing the statin continuation and non-continuation groups (Table 1), age (median 62 vs 61 years) and gender (43% vs 44% females) were similar. The median Charlson comorbidity index during admission (2.0 vs 2.0, p = 0.57; Table 2) and during the 6 months prior to admission (3.0 vs 3.0, p = 0. 97) was the same in both the groups. Admission from the emergency room occurred for 97% of patients with statin continuation and 95% with non-continuation (p = 0.29). Marital status, race, region, and admitting physician specialty were also similar between the statin continuation versus non-continuation groups. Simvastatin (53.2%) and atorvastatin (33.8%) were the most commonly used statins. Inpatient mortality was significantly lower (2.59% vs 10.97%, p = 0.0002) and length of stay was higher (median 6.0, interquartile range (IQR) 5.0–9.0 vs 5.0 days, IQR 3.0–9.0, p < 0.0001) in those continuing statins compared with those not continuing. The final propensity score model c-statistic was 0.88, suggesting a strong model for predicting the probability of statin continuation.²³ Among bacteremic patients with adherent statin use prior to admission, the propensity score adjusted Cox proportional hazards regression model evaluating time to inpatient mortality demonstrated significantly lower inpatient mortality among those continuing statin therapy (hazard ratio (HR) 0.25, 95% CI 0.08–0.79) compared with those not continuing after admission.

Figure 1.

Study cohort identification.

Table 1.

Demographic and hospitalization-related characteristics among adherent statin users prior to admission.

Characteristics	Statin continuation (N = 232)		Non-continuation (N = 401)		p value
Characteristics	N/median	%/IQR	N/median	%/IQR	p value
Age (years)	62	55–76	61	56–68	0.1928
Gender					0.6749
Female	99	42.67	178	44.39
Male	133	57.33	223	55.61
Race					0.8387
Black	17	7.3	34	8.5
Other	33	14.2	53	13.2
White	182	78.5	314	78.3
Census region					0.1168
East North Central	45	19.4	57	14.21
East South Central	5	2.16	5	1.25
Middle Atlantic	10	4.31	21	5.24
Mountain	13	5.60	22	5.49
New England	7	3.02	5	1.25
Pacific	27	11.64	32	7.98
South Atlantic	64	27.59	153	38.15
West North Central	27	11.64	45	11.22
West South Central	34	14.66	61	15.21
Admission Type					0.2932
Emergency	225	96.98	382	95.26
Non-emergency	7	3.02	19	4.74
Admitting physician facility					0.7205
Intensive care/surgery	8	3.45	18	4.49
Medicine	93	40.09	167	41.65
Other	131	56.47	216	53.87
Diagnosis-related group (DRG) description					0.1988
Non-ventilation	224	96.55	378	94.26
Ventilation	8	3.45	23	5.74
Hospital admission year					0.2553
2010	41	17.67	85	21.20
2011	95	40.95	143	35.66
2012	96	41.38	173	43.15

Data are median and interquartile range (IQR) or number and percent of patients.

Table 2.

Clinical characteristics and health service utilization among adherent statin users prior to admission.

Characteristics	Statin continuation (N = 232)		Non-continuation (N = 401)		p value
	N/median	%/IQR	N/median	%/IQR
Comorbidities (during admission)
Charlson score (median and IQR)	2	1–4	2	0–3	0.5708
Elixhauser score (median and IQR)	4	3–6	4	3–6	0.3973
Chronic renal disease	61	26.29	78	19.45	0.0451
Coagulation and hemorrhagic disorders	27	11.64	84	20.95	0.0030
Coagulopathy	25	10.78	75	18.70	0.0084
Congestive heart failure nonhypertensive	64	27.59	60	14.96	0.0001
Coronary atherosclerosis and other heart diseases	87	37.50	115	28.68	0.0218
Diabetes mellitus with complication	61	26.29	69	17.21	0.0064
Dyslipidemia including hyperlipidemia	161	69.40	208	51.87	<0.0001
Infective arthritis	15	6.47	11	2.74	0.0230
Liver disease	12	5.17	47	11.72	0.0063
Malignant neoplasm	6	2.59	54	13.47	<0.0001
Metastatic cancer	3	1.29	30	7.48	0.0003
Mild liver disease	11	4.74	40	9.98	0.0197
Obesity	69	29.74	83	20.70	0.0103
Poisoning by medication and drugs	20	8.62	69	17.21	0.0027
Solid tumor without metastasis	5	2.16	49	12.22	<0.0001
Weight loss	22	9.48	68	16.96	0.0095
Medication use (during admission)
Anti-hypertensive medication	207	89.22	274	68.33	<0.0001
Comorbidities (6 months prior to admission)
Charlson score (median and IQR)	3	1–5	3	2–6	0. 9720
Elixhauser score (median and IQR)	6	5–9	5	3–9	0.7992
History of any cancer	35	15.09	102	25.44	0.0023
History of chronic kidney disease	47	20.26	57	14.21	0.048
History of condition with dizziness or vertigo	32	13.79	25	6.23	0.0014
History of dyslipidemia including hyperlipidemia	175	75.43	263	65.59	0.0097
History of history of other Immunocompromise	14	6.03	46	11.47	0.0244
History of maintenance chemotherapy radiotherapy	8	3.45	43	10.72	0.0012
History of malignant neoplasm	24	10.34	76	18.95	0.0042
History of metastatic cancer	7	3.02	37	9.23	0.0031
History of other and ill-defined cerebrovascular diseases	15	6.47	12	2.99	0.0372
History of other eye disorder	27	11.64	28	6.98	0.0451
History of solid tumor without metastasis	24	10.34	74	18.45	0.0066
Medication use history (6 months prior to admission)
History of diabetic medication	74	31.9	112	27.93	0.0081
History of anti-hypertensive medication	199	85.78	317	79.05	0.0357

Data are median and interquartile range (IQR) or number and percent of patients.

Discussion

In this retrospective cohort study among privately insured patients with bacteremia, we observed higher survival among the statin continuation group compared with the non-continuation group. These results support statin continuation through the period of inflammation, as the inflammatory response has been found to be lower among patients taking statins around the time the infection develops.^25,26 The specific mechanism by which mortality is reduced among statin users with bacteremic infections still remains undefined, however, a proposed mechanism has been the moderation of the overall inflammatory response.²⁷ Other previously observed anti-inflammatory effects with statins have included lowering of C-reactive protein (CRP), chemokine release (MCP-1, RANTES), cytokines (IL-1β, TNF α, IL-6, IL-8), and adhesion molecules (P-selectin, VLA 4, CD11a, CD11b, CD18).^28,29 Statins may also have a direct antimicrobial effect,³⁰ and possible antibacterial activity of statins against a variety of pathogens may be attributed to their ability to suppress cell growth, and to promote apoptosis.^31–33

Contrary to our findings, a recent randomized controlled trial (RCT) did not observe benefits of statin continuation on inflammatory parameters and sepsis among adherent statin users.³⁴ However, the aforementioned study has several methodological issues as pointed out in a correspondence by Bostock and Vizcaychipi,³⁵ including a vague primary endpoint, lack of information regarding previous statin therapy duration, and use of the Mann–Whitney test to evaluate the matched groups. The limitations of a number of previous studies evaluating protective effects of statins were (a) control for few confounders,^2,7,10,27,36 (b) lack of information about pre-hospitalization medication use,^10,36,37 (c) combined incident and adherent statin use,^2,27,37 and (d) combined pre-hospital and post-hospital use.^37,38 These limitations may explain the conflicting findings between studies in regard to the impact of statin use on mortality among patients with infections.

In terms of contrasting results between studies assessing the effects of statin continuation, a prospective cohort study conducted in Spain evaluated the survival benefits with statin use in S. aureus bacteremic (SAB) patients with at least 30 days prior statin use and continuation until SAB diagnosis, and did not observe significant protective effect of statins on 30-day mortality (odds ratio (OR) = 0.35; 95% CI: 0.10–1.23; p = 0.10).⁴ Conversely, a recent multicenter RCT conducted among 250 critically ill patients with severe sepsis (123 statins, 127 placebo) reported a significantly lower 28-day mortality rate in the adherent statin continuation group compared with the placebo group (5% vs 28%; p = 0.01).³⁹ A retrospective cohort study conducted at a Veterans Affairs Medical Center in Washington among bacteremic patients, identified a therapeutic benefit with statin continuation (n = 35 vs 353, adjusted OR 0.13, 95% CI 0.02–0.99) compared with non-statin users.⁷

The results of this study have potential limitations. In our primary analysis, we evaluated adherent statin users, potentially leading to healthy user bias. We used time-varying analytic methods to mitigate the impact of survival bias. However, in the comparison group, one death was observed within the first 5 days of admission, and had this patient been excluded, the HR may have been closer to 1. Furthermore, the sample size of our study was small and we could not study the protective effects of each statin separately due to the small numbers. The effect of statins on inpatient mortality in patients with sepsis may be different for individual statins.⁴⁰ We also could not assess the dose-dependent effects, changes in statin therapy (drug or dose) prior to admission, at admission, or during the admission, or the effects of adherence due to low sample sizes. In our review of statin doses, dispensing quantity in incident users mostly reflected moderate to high doses. As we used an administrative claims database for our analysis, we assumed outpatient statin exposure to be equivalent to filling a prescription. Furthermore, there is a possibility of statins having a different impact on clinical outcomes based on the causative pathogen, since the mechanism of action is not exactly known and it may vary for different pathogens. Microbiology data was not available for a potential causative pathogen, but we identified organisms using ICD-9 codes, where available. Bacteremic treatment varies by organism type and we were only able to use general inclusion criteria of having received an antibiotic which may be used for bacteremia.^15
–18 Since we only evaluated a general bacteremic population, our results may not be generalized to pathogen-specific bacteremias. Despite using propensity scores to control for confounding, we could not control for unmeasured confounding. Specifically, bacteremia severity scores and bacteremia source were not available from the data source, although we did control for ventilation status and sepsis severity using diagnosis-related groups (DRG).

In conclusion, our retrospective cohort study quantified the effect of adherent statin continuation on clinical outcomes such as inpatient mortality and hospital length of stay among bacteremic patients in a real-world clinical population. We observed significant reduction in inpatient morality among adherent statin continuation for at least the first few days after hospitalization compared with non-continuation during admission. Our results possibly hint at the necessity of statin exposure through the period of inflammation development as the inflammatory response has been found to be decreasing among patients consuming statins at the same time as developing infection.^25,26 Further unaddressed questions related to this research question include appropriate statin exposure time and duration needed for the maximum clinical benefits, and differences in the magnitude of each statin’s protective effects.

Footnotes

Acknowledgements

The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the United States Department of Veterans Affairs. Substantial contributions to the conception and design of the work, or the acquisition, or analysis and interpretation of data are as follows. Design: A.M.P., K.L.L., and A.R.C.; Data: A.M.P., K.L.L., T.T.T., and A.R.C. Drafting the manuscript or revising it critically for important intellectual content: A.M.P., K.L.L., T.T.T., and A.R.C. Final approval of the version to be published: A.M.P., K.L.L., T.T.T., and A.R.C. Accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved: A.M.P. and A.R.C. Presented, in part, at the 32nd International Conference on Pharmacoepidemiology and Therapeutic Risk Management, 28 August 2016.

Authors’ note

Tristan T Timbrook is now affiliated with Department of Pharmacy, University of Utah Health, Salt Lake City, Utah, USA.

Declaration of conflicting interests

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Ajinkya Pawar has no conflicts to disclose. Aisling Caffrey has received research funding from Pfizer, Merck (Cubist), and The Medicines Company. Tristan Timbrook has received honoraria for speaking and/or consulting from BioFire Diagnostics, GenMark Diagnostics, and Roche Diagnostics. Kerry LaPlante has received research funding or acted as a scientific advisor for Allergan, Bard, Merck (Cubist), Pfizer, and The Medicines Company.

Ethical approval

This study, which used existing de-identified data, was determined to be exempt from 45 CFR Part 46 by the University of Rhode Island’s Institutional Review Board per exemption 45 CFR 46.1010(b)(4).

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Informed consent

Informed consent is not required in research determined to be exempt from 45 CFR Part 46.

ORCID iD

Aisling R Caffrey

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