Abstract
Background
The COVID-19 pandemic has claimed over 6.4 million lives globally. Finding effective medications to reduce mortality in hospitalized COVID-19 patients remains critical. No previous study has been published on the effects of statin use in a majority African American COVID-19 patient population.
Objective
This study aims to assess the relationship between in-hospital statin use and mortality in this population.
Methods
A retrospective chart review of patients diagnosed with COVID-19 from March 2020 to June 2020 admitted to the Phoebe Putney Health System in Albany, Georgia, an early epicenter of the COVID-19 pandemic, was conducted. The outcomes of 735 hospitalized COVID-19 positive patients from over 40 counties in Georgia were analyzed. The primary outcome of interest was all-cause mortality, with secondary outcomes of interest of ICU care, length of ICU stay, need for mechanical ventilator, duration of intubation, and need for dialysis. Multivariate logistic regression and Cox proportional hazards analysis were conducted to examine the effect of in-hospital statin use and mortality.
Results
186 of 735 total patients were prescribed statins in-hospital. 83.8% were African American. Multivariate logistic regression found in-hospital statin use was not significantly associated with the primary outcome – all-cause mortality (p=0.23). Similar findings were seen in need for ICU care, length of ICU stay, need for mechanical ventilator, duration of intubation, and need for dialysis (p>0.05). Additionally, results from a Cox proportional hazards model found in-hospital statin use was not associated with survival time. Sensitivity analysis conducted on only African American patients validated that in-hospital statin use was not associated with all-cause mortality in these patients. Of note, immunosuppression and severe disease presentation were associated with a six-fold increase in risk of mortality and the largest decreases in survival time.
Conclusion
It is possible statins have no mortality benefit for this patient population, but further research beyond this association study would need to be conducted to determine this conclusively. From this study, the best clinical recommendation would be to continue statins for COVID-19 patients with pre-hospital statin use and to launch a randomized clinical trial to definitively determine the efficacy of statins in the treatment of hospitalized COVID-19 patients.
Keywords: Cardiovascular, Emergency Medicine, Evidence-based Medicine, Infectious Diseases, Intubation, Length of Stay, Lipids, Outcomes Research
Introduction
Coronavirus Disease 2019 (COVID-19) was declared a worldwide pandemic by the World Health Organization on March 11, 2020.1 As of August 18th, 2022, the pandemic has claimed over 6,400,000 lives worldwide and over 1,000,000 lives in the United States according to the Johns Hopkins Coronavirus Resource Center.2 The virus works primarily by binding to angiotensin-converting receptor 2 on alveolar epithelial cells, whereby it activates the innate and adaptive immune systems and results in inflammation caused by a pro-inflammatory cytokine storm.3 While multiple therapies have been tried against COVID-19, no definitive cure has yet been found. Physicians must continue to evaluate previously approved drugs as adjunct therapies to reduce the clinical course severity of COVID-19. Statins are Food and Drug Administration approved 3-hydroxy-3-methylglutaryl-CoA (HMG-CoA) reductase inhibitors typically used to lower LDL-Cholesterol and reduce the risk of myocardial infarction or stroke.4
Due to statins’ pleiotropic anti-inflammatory effects and ability to lower C-reactive protein, as demonstrated in the JUPITER trial, calls have also emerged for further research into the use of statins to improve outcomes in infectious diseases.5, 6, 7, 8 Statins have been previously shown to be efficacious in observational cohort studies in reducing risk of sepsis in hospitalized patients as well as mortality from both bacterial and viral infections, suggesting the possibility of a similar effect in COVID-19 patients.9, 10, 11 Recently concluded observational studies have found statins to be associated with a reduced risk of mortality in COVID-19 patients and Rodriguez-Nava et al 2020 found atorvastatin users had a longer time-to-mortality than atorvastatin non-users in COVID-19 patients admitted to the Intensive Care Unit (ICU).12, 13, 14, 15
As physicians continue to alter the therapeutic protocol for COVID-19 patients, having more information about the effectiveness of these medications in different populations is especially valuable information. Positive effects of statin use for COVID-19 patients has been seen in previous observational studies; however, no study has yet been published on the impact of statin use on mortality in a majority African American patient population. This study aims to assess the impact of in-hospital statin use on outcomes for hospitalized COVID-19 patients in a predominantly African American population.
Methods
Participants and Data Collection
Following Institutional Review Board approval from Augusta University IRB Committee B (1603044-2), aggregate patient visit data was collected from Phoebe Putney Health System electronic medical records (Meditech and Athena Health). The authors abstracted each data element from each chart by manually reviewing each patient's medical record and extracting the relevant information. Each data point was then entered into a table by the research team. To ensure accuracy, the table was reviewed by a physician who independently verified each data point against the corresponding medical record. The system consists of 3 hospitals serving over 40 counties with an aggregate population of approximately 825,000 in rural South-west Georgia. Patients admitted to one of three Phoebe Putney hospitals between March 2, 2020 and June 13, 2020 for any reason with a confirmed positive COVID-19 test were included in the study. Criteria for a positive COVID-19 test included a positive initial or repeat nasopharyngeal swab for COVID-19 using a polymerase chain reaction (PCR). If the initial negative test result had been judged as a likely false-negative due to poor sampling technique or there was a high clinical pretest probability of COVID-19, a repeat test was performed on in-patients during hospitalization. Transfers from one in-system hospital to another were merged and considered as a single visit. Atorvastatin (lipitor) was administered to all patients who received a statin in-hospital. Patients taking a different statin at home were given an equivalent atorvastatin dose while hospitalized.
The primary outcome of interest was in-hospital mortality. Secondary outcomes of interest were need for ICU care, length of ICU stay, need for mechanical ventilator, duration of intubation, and need for dialysis. The intervention of interest was in-hospital statin use. Variables relating to the intervention of interest were pre-admission statin use, duration of statin use, statin dosage, and statin use time from admission to discharge. The demographic and comorbid variables of age, gender, race, body mass index, hypertension, diabetes mellitus, dyslipidemia, cerebrovascular disease, chronic obstructive pulmonary disease, coronary artery disease, congestive heart failure, peripheral arterial disease, chronic kidney disease, asthma, immunosuppression, COVID-19 disease presentation severity, and tobacco use were controlled for in the analyses. Severe COVID-19 disease presentation was defined as progression to one of the following: severe pneumonia as defined by the CURB-65 criteria, septic shock, or acute respiratory distress syndrome. All comorbidities were adjudicated based on the 10th version of the International Classification of Diseases (ICD-10).
Data Analysis
Analyses were conducted with R software (version 4.0.0) and Excel (version 2019). Bivariate descriptive statistics for the outcomes of interest and covariates by statin use group are reported as means and standard deviations for continuous variables and frequencies and percentages for categorical variables. Two-sample independent t-tests with Bonferroni corrections were used for testing differences in continuous variables, while chi-squared tests with Bonferroni corrections were used for testing homogeneity of categorical variables. The Bonferroni correction was used in the univariate analysis to adjust for the increased likelihood of a type 1 error arising from comparison of multiple endpoints and possible significant correlation between the endpoints.16 Logistic regression was conducted to analyze the relationship between mortality and statin use, while controlling for pre-admission statin use, duration of statin use, statin dosage, and statin use time from admission to discharge, age, gender, race, body mass index, hypertension, diabetes mellitus, dyslipidemia, cerebrovascular disease, chronic obstructive pulmonary disease, coronary artery disease, congestive heart failure, peripheral arterial disease, chronic kidney disease, asthma, immunosuppression, COVID-19 disease presentation severity, and tobacco use. Bidirectional stepwise regression was utilized to build the final model for mortality. In addition to analyzing mortality as a binary outcome, time-to-event analysis of the time from admission to mortality or discharge (treated as censored) was conducted by fitting a Cox proportional hazards model of time to mortality regressed onto in-hospital statin use and the covariates.17 All statistical analysis and hypothesis tests were performed at significance level α = 0.05. All authors reviewed the manuscript and take responsibility for accuracy and completeness of data presented.
Results
The researchers conducted a retrospective analysis of 735 patients in Albany, Georgia diagnosed with COVID-19 to determine the effect of in-hospital statin use on mortality, need for ICU care, length of ICU stay, need for mechanical ventilator, duration of intubation, and need for dialysis. 84% of these patients were African American, and 116 (17%) died during hospitalization. Of the 186 patients who received statins in-hospital, 153 (82%) survived to hospital discharge, while 33 (18%) did not.
Patients with in-hospital statin use were more likely to be older (66.8 years old) and have a history significant for hypertension (95.2%) and diabetes (60.2%). In contrast, patients without in-hospital statin use were younger (58.6) and less likely to have a history of hypertension (70.7%) or diabetes (36.1%). Other demographics, co-morbidities, and severity of disease at presentation were not significantly different between the two groups (Table 1 ). That patients with in-hospital statin use were more likely to be older, hypertensive, and diabetic likely reflects clinical indications for statin usage.
Table 1.
Variables Examined | No In-hospital statin use (N=549) | In-hospital statin use (N=186) | Total (N=735) | P-value |
---|---|---|---|---|
Age | 58.6 (18.1) | 66.8 (12.8) | 60.6 (17.3) | < 0.001 |
Sex (Male) | 234 (42.6%) | 78 (41.9%) | 312 (42.4%) | 1.000 |
Race | 1.000 | |||
African American | 463 (84.3%) | 153 (82.3%) | 616 (83.8%) | |
Non-African American | 86 (15.7%) | 33(17.7%) | 119 (16.2%) | |
Obese | 206 (37.7%) | 80 (43.0%) | 286 (39.0%) | 1.000 |
Morbidly Obese | 133 (24.3%) | 32 (17.2%) | 165 (22.5%) | 1.000 |
Hypertension | 388 (70.7%) | 177 (95.2%) | 565 (76.9%) | < 0.001 |
Diabetes | 198 (36.1%) | 112 (60.2%) | 310 (42.2%) | < 0.001 |
CAD | 40 (7.3%) | 27 (14.5%) | 67 (9.1%) | 0.077 |
CHF | 74 (13.5%) | 32 (17.2%) | 106 (14.4%) | 1.000 |
COPD | 47 (8.6%) | 26 (14.0%) | 73 (9.9%) | 0.819 |
Renal Disease | 74 (13.5%) | 42 (22.6%) | 116 (15.8%) | 0.081 |
Asthma | 58 (10.6%) | 27 (14.5%) | 85 (11.6%) | 1.000 |
Immunosuppression | 24 (4.4%) | 8 (4.3%) | 32 (4.4%) | 1.000 |
Smoking | 93 (16.9%) | 41 (22.0%) | 134 (18.2%) | 1.000 |
Severe Disease Presentation | 272 (49.5%) | 83 (44.6%) | 355 (48.2%) | 1.000 |
The primary outcome of mortality and secondary outcomes: need for ICU care, length of ICU stay, need for mechanical ventilator, duration of intubation, and need for dialysis were compared between patients with and without in-hospital statin use using the chi-squared test and two-sample t-tests with Bonferroni corrections. The most prevalent secondary outcome of interest was need for ICU hospitalization, occurring in 25.7% of all patients (Table 2 ). In contrast, the need for dialysis occurred in fewer than 7% of all patients. No significant difference was found in all-cause mortality between the in-hospital statin group (17.7%) and in the no in-hospital statin group (15.1%). Similar findings were observed in the need for ICU stay (29.6% in the in-hospital statin group and 24.4% in the no in-hospital statin group), length of ICU stay (11.7 days and 9.3 days), need for mechanical ventilator (19.9% and 18.4%), duration of intubation (7.7 days and 7.0 days), and need for dialysis (9.1% and 5.8%).
Table 2.
Outcomes of Interest | No In-hospital statin use (N=549) | In-hospital statin use (N=186) | Total (N=735) | P-value |
---|---|---|---|---|
Mortality | 83 (15.1%) | 33 (17.7%) | 116 (15.8%) | 1.000 |
Need for ICU | 134 (24.4%) | 55 (29.6%) | 189 (25.7%) | 1.000 |
Length of Stay (Days) | 9.3 (10.1) | 11.7 (12.1) | 9.9 (10.7) | 0.224 |
Need for Ventilator | 101 (18.4%) | 37 (19.9%) | 138 (18.8%) | 1.000 |
Length of Intubation (Days) | 2.2 (7.0) | 2.4 (7.7) | 2.3 (7.2) | 1.000 |
Dialysis | 32 (5.8%) | 17 (9.1%) | 49 (6.7%) | 1.000 |
To adjust for the potential confounding effects of comorbidities, demographics, severity of disease upon presentation, and others, a multivariable logistic regression was performed (Table 3 ). Results from logistic regression analysis showed that after controlling for relevant covariates, neither in-hospital nor pre-admission statin use impacted mortality (Table 3). Multivariable logistic regressions (results not shown) also showed that in-hospital statin use did not impact any of the secondary outcomes of interest. Bidirectional stepwise regression was performed to identify a model that is parsimonious in the number of covariates. A logistic regression model was then fit using only those covariates that were identified in the final model from the stepwise regression procedure. Results from this final logistic regression analysis also indicated no statistically significant relationship between in-hospital or pre-admission statin use and the primary outcome (Table 3).
Table 3.
Independent Variables | All variables | Stepwise regression variables | |||
---|---|---|---|---|---|
OR [95% CI] | P | OR [95% CI] | P | ||
Variables of Interest | In-hospital Statin Use | 3.10 [0.46 - 18.92] | 0.23 | 3.03 [0.44 - 19.11] | 0.24 |
Pre-admission Statin Use | 1.46 [0.87 - 2.44] | 0.15 | 1.51 [0.9 - 2.51] | 0.11 | |
Total Statin Duration | 0.99 [0.94 - 1.04] | 0.80 | 0.99 [0.94 - 1.04] | 0.78 | |
Statin time from admission | 0.83 [0.63 – 1.00] | 0.10 | 0.82 [0.63 – 1.00] | 0.09 | |
Dosage (10mg daily) | 1.43 [0.31 - 7.61] | 0.65 | 1.52 [0.34 - 7.85] | 0.59 | |
Dosage (20mg daily) | 1.09 [0.25 - 5.47] | 0.90 | 1.16 [0.27 - 5.75] | 0.85 | |
Dosage (40mg daily) | 0.97 [0.23 - 4.62] | 0.97 | 1.00 [0.24 - 4.71] | 1.00 | |
Statin duration percentage | 0.26 [0.05 - 1.60] | 0.14 | 0.27 [0.05 - 1.63] | 0.14 | |
Control Variables | Age | 1.05 [1.03 - 1.07] | <0.01 | 1.05 [1.03 - 1.07] | <0.01 |
Sex (Male) | 2.34 [1.45 - 3.82] | <0.01 | 2.25 [1.42 - 3.60] | <0.01 | |
Race (Non-African American) | 1.00 [0.52 - 1.86] | 0.99 | |||
Obese | 1.73 [1.02 – 3.00] | 0.05 | 1.75 [1.04 - 2.97] | 0.04 | |
Severe Disease Presentation | 5.53 [3.32 - 9.49] | <0.01 | 5.53 [3.35 - 9.49] | <0.01 | |
Hypertension | 1.38 [0.66 - 3.06] | 0.41 | |||
Diabetes | 1.40 [0.87 - 2.27] | 0.17 | 1.52 [0.96 - 2.46] | 0.08 | |
CAD | 1.54 [0.73 - 3.13] | 0.24 | 1.68 [0.84 - 3.32] | 0.13 | |
CHF | 1.28 [0.70 - 2.32] | 0.42 | |||
COPD | 1.00 [0.47 - 2.03] | 1 | |||
Renal Disease | 1.27 [0.70 - 2.25] | 0.42 | |||
Asthma | 1.23 [0.60 - 2.41] | 0.56 | |||
Immunosuppression | 6.17 [2.53 - 15.03] | <0.01 | 6.11 [2.53 - 14.88] | <0.01 | |
Smoking | 1.01 [0.57 - 1.77] | 0.96 |
To adjust for the differences in hypertension and diabetes diagnoses between the two groups, a sensitivity analysis was conducted including only patients with hypertension or diabetes. All-cause mortality in this group did not differ between the two groups, further validating the results.
Five variables were found to be significantly associated with mortality in this patient population: increased age, male sex, obesity, severe disease presentation, and immunosuppression (Table 3). Of these variables, immunosuppression and severe disease presentation had the highest associations with mortality, with both associated with a 6-fold increase in likelihood of mortality. Male sex and obesity were associated with a two-fold increase in mortality, and every additional year of age was associated with an additional 5% risk of mortality. Table 4
Table 4.
Independent Variables | Hazard Ratio | Significant | |
---|---|---|---|
Variables of Interest | In-hospital Statin Use | 1.34 [0.30 - 5.95] | |
Pre-admission Statin Use | 1.78 [1.16 - 2.75] | * | |
Total Statin Duration | 0.86 [0.81 - 0.91] | * | |
Statin time from admission | 0.91 [0.75 - 1.09] | ||
Dosage (10mg daily) | 0.78 [0.22 - 2.77] | ||
Dosage (20mg daily) | 0.71 [0.21 - 2.47] | ||
Dosage (40mg daily) | 0.67 [0.20 - 2.21] | ||
Statin duration percentage | 6.67 [0.34 - 130.04] | ||
Control Variables | Age | 1.03 [1.02 - 1.05] | * |
Sex (Male) | 1.78 [1.18 - 2.68] | * | |
Race (Non-African American) | 1.13 [0.67 - 1.91] | ||
Obese | 1.40 [0.88 - 2.22] | ||
Severe Disease Presentation | 2.62 [1.64 - 4.20] | * | |
Hypertension | 1.25 [0.63 - 2.46] | ||
Diabetes | 1.20 [0.80 - 1.80] | ||
CAD | 1.05 [0.59 - 1.88] | ||
CHF | 1.37 [0.84 - 2.24] | ||
COPD | 1.10 [0.59 - 2.04] | ||
Renal Disease | 1.13 [0.70 - 1.82] | ||
Asthma | 1.13 [0.62 - 2.08] | ||
Immunosuppression | 3.37 [1.80 - 6.28] | * | |
Smoking | 0.96 [0.59 - 1.57] |
Time to mortality was also analyzed as an outcome of interest. Results from a Cox proportional hazards regression model including the variables of interest and control variables showed that in-hospital statin use was not associated with time to mortality, indicating patients who received in-hospital were not more likely to live longer than patients who did not receive in-hospital statins. However, increased age, male sex, severe disease presentation, and immunosuppression were associated with decreased survival time. Of these variables, positive immunosuppression status and severe disease presentation had the greatest reduction in survival times, with more than a three-fold increase in the hazards of mortality when compared to patients who were not immunosuppressed and more than two and a half times the hazards of mortality in those with severe disease presentation compared to those without.
A sensitivity analysis conducted on African American patients validated that in-hospital statin use was not associated with all-cause mortality. A subsequent sensitivity analysis found that in patients with hypertension or diabetes, all-cause mortality did not differ between the two groups.
Discussion
This study found that the use of statins during hospitalization for COVID-19 did not improve either the primary or secondary outcomes being investigated. Therefore, the data does not support the initiation of statins for COVID-19 patients who are not typically indicated for statin use. However, if COVID-19 patients are already taking statins, they should continue taking them, as statins are known to have long-term cardiovascular benefits, and the study did not find that statin use significantly decreased any of the outcomes of interest.
Our study also found that in-hospital statin use was not associated with the need for ICU care, length of ICU stay, need for mechanical ventilator, duration of intubation, and need for dialysis. These findings suggest that statin use in COVID-19 patients from a majority African American population may not have a significant impact on disease severity or organ dysfunction. Wei et al.18 conducted a retrospective study and found that decreased levels of low-density lipoprotein (LDL) and total cholesterol were associated with increased COVID-19 disease severity. They found that patients with COVID-19 develop hypolipidemia when they begin to show mild symptoms, and the level of dyslipidemia correlates with disease severity. This suggests a complex interplay between statins and COVID-19 on lipid levels, and even a possible cause of statin-induced exacerbations of COVID-19. While this study did not find any such evidence of an exacerbation, this may help explain why despite the anti-inflammatory properties of statins, there was no significant impact on the secondary outcomes of interest.
The findings of this study stand in contrast to many other studies, which demonstrate positive clinical outcomes for patients with statin usage.12 , 13 , 19 , 20 This may be attributed to possible differential effects of statin therapy among African Americans and white patients. Currently, conflicting research exists on whether African Americans initiating statin therapy have similar lipid-lowering effects21 or have decreased lipid-lower effects than white patients do22.
In addition, while these results show that neither African American patients nor white patients had significant improvements in the primary or secondary endpoints, the study may have been underpowered to detect any significant benefit for non-African Americans as 84% of the study population were African Americans.
As the use of in-hospital statins did not influence any outcomes of interest in this study, this suggests that patients hospitalized with COVID-19 receiving statins prior to hospitalization should continue to be on statins. However, the secondary outcomes of interest in this study largely compromised of measures of respiratory or renal function, and did not include factors such as inflammatory markers or thromboembolic events, which prior studies have found were reduced by statin use.12, 13, 14
Additionally, anti-inflammatory characteristics associated with statin use found in other studies suggest an overall health benefit to consider. Statins have been previously shown to mediate multiple inflammatory pathways, including through circulating neutrophil counts, C-reactive protein, and interleukin 6. These pathways have been linked with the COVID-19-associated multiorgan syndrome, with significant amounts of inflammation mediating both intrapulmonary and extrapulmonary organ damage seen in this condition.23 Indeed, RCTs have demonstrated the beneficial effect of statins in vivo in reducing proinflammatory cytokine release in patients with bacterial and viral pneumonia.
Studies have previously shown that African American patients are less likely to receive guideline recommended statin therapy for the management of dyslipidemia and cardiovascular disease. This is a complex and multifactorial issue, as explored by Nanna et al.24 who suggested factors including decreased access to healthcare, insurance status, financial barriers, and trust in clinicians are among the causes of this issue. As African Americans are more likely to suffer from dyslipidemia compared to other racial and ethnic groups, the decreased access to statins in this population may exacerbate existing health disparities. While our study did not find a significant association between statin use and outcomes in COVID-19 patients, it is possible that statins may have a beneficial effect in certain subgroups of patients. The underuse of statins in African American patients could lead to missed opportunities for cardiovascular risk reduction and improved outcomes. Thus, efforts to address disparities in statin therapy are warranted, including strategies to improve access to healthcare, increase awareness and education among patients and providers, and promote guideline-adherent statin prescribing practices.
Certain limitations must be taken into consideration when analyzing the results of the study. First, the present analysis does not indicate the length of time a patient was on statins prior to admission for COVID-19 therapy. As such, patients with in-hospital statin usage include de novo statin patients and long-time statin patients, while patients with no in-hospital statin usage include those who have never received statins and long-time statin patients who were discontinued at admission. Third, retrospective chart reviews are more likely to suffer from confounding and selection bias.25 However, as no randomized clinical trials have been conducted on this topic, such studies are critical in elucidating the relationship between statin use and mortality in hospitalized COVID-19 patients. Fourth, while many comorbid conditions, patient demographics, and details of statin therapy were all controlled for, the presence of other treatments were not controlled for, which could have served as confounders for statin therapy and possibly falsely insignificant results.
Conclusion
As COVID-19 continues to remain a world pandemic and a threat at large, identifying measures that can improve clinical outcomes for COVID-19 patients remains of paramount importance. Statins are known to have pleiotropic anti-inflammatory effects that can target inflammatory pathways involved in COVID-19 infection.5 , 26 Although the exact pathways and molecules by which statins can modulate COVID-19 infection remains unidentified, many studies have found improved clinical outcomes with statin usage.12, 13, 14 Furthermore, the negative side effects of statins are well documented and relatively mild in comparison to the complications of COVID-19 infection. However, the results of this study do not show a significant positive benefit of in-hospital stain use as a standalone therapy for COVID-19 treatment. Therefore, the best clinical recommendation would be to continue statins for COVID-19 patients with pre-hospital statin use and to launch a randomized clinical trial to definitively determine the efficacy of statins in the treatment of hospitalized COVID-19 patients.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Declaration of Competing Interest
No authors have any conflicts of interest.
Acknowledgements
The authors acknowledge the help provided by Jennifer Hill and Krista Barfield for their help in data abstraction. DFL acknowledges an internal Augusta University Early Career Award that partially supported this work.
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