Reduced Mortality With Ondansetron Use in SARS-CoV-2-Infected Inpatients

The association between ondansetron use and mortality risk of traumatic brain injury patients: a population-based study

Background

Traumatic brain injury (TBI) patients suffer high risks of mortality. Ondansetron has been verified to be effective in improving the prognosis of some kinds of critically ill patients. We design this study to explore whether ondansetron use is associated with lower risks of mortality among TBI patients.

Methods

TBI patients from the Medical Information Mart for Intensive Care-III were collected. The usage of ondansetron, including intravenous injection and oral tablet, since admission to the Beth Israel Deaconess Medical Center between 2001 and 2012 was identified. Univariate and multivariate logistic regression were performed to analyze the relationship between the ondansetron use and mortality of TBI patients. Propensity score matching (PSM) was utilized to generate balanced cohorts of the non-ondansetron use group and ondansetron use group. Sub-group analysis was performed to verify the association between the ondansetron use and mortality of TBI patients in different TBI severity levels after PSM.

Results

In TBI cohorts before PSM, the usage incidence of ondansetron was 37.2%. The 30-day mortality was significantly lower in the ondansetron group (p < 0.001). The multivariate logistic regression showed that ondansetron was associated with the lower mortality of TBI patients (p = 0.008). In TBI cohorts after PSM, the 30-day mortality of the ondansetron group was lower than that of the non-ondansetron group, although without statistical significance (p = 0.079). Logistic regression indicated ondansetron use was significantly associated with the lower mortality of moderate-to-severe TBI (p < 0.001) but not mild TBI (p = 0.051). In addition, Cox regression also presented that ondansetron use was significantly associated with the lower mortality of moderate-to-severe TBI (p < 0.001) but not mild TBI (p = 0.052).

Conclusion

Ondansetron usage is associated with a lower mortality risk of moderate-to-severe TBI but not mild TBI patients. Ondansetron may be a novel adjunctive therapeutic strategy to improve the prognosis of moderate-to-severe TBI patients.

Status of COVID-19 Infection and Vaccination in People Aged 18 Years and over in a Town: A Cross-Sectional Study in Turkey

Objective. The objective of this study was to evaluate the cases of COVID-19 infection in people >18 years old and to investigate attitudes against vaccination and vaccine hesitancy and the factors affecting them. Methods. The data collection form used in the study was prepared by the researchers by screening the relevant literature. People over the age of 18 who agreed to participate in the study were invited to the family health center, and a questionnaire was applied by face-to-face interview method. The application time of a survey was 5-10 minutes. A total of 229 people were reached. Percentage of reaching was 95,4%. Results. The mean age of the participants was $44,13\pm 14,18$ years. 31,9% of the participants in the study had COVID-19 infections. 69,9% of those who had COVID-19 infection caught the disease in the last year, and 93,2% were followed at home. Among the people with whom the participants lived, 21,6% of those who had COVID-19 infection were hospitalized and 5,7% died. Of the participants who expressed their opinion, 32,1% think that COVID-19 vaccines have serious side effects. Postvaccine side effects developed in 32,9% of the participants who had the COVID-19 vaccine, and 11,0% had a postvaccine infection. Conclusion. The results of our study revealed that the COVID-19 vaccine was highly accepted among the adult population in Turkey during the pandemic period. However, through this study, we found concerns about the side effects of the vaccine, the lack of confidence in the vaccine ingredient, and the effectiveness of the vaccine.

Metformin is associated with reduced COVID-19 severity in patients with prediabetes

AIMS

Studies suggest that metformin is associated with reduced COVID-19 severity in individuals with diabetes compared to other antihyperglycemics. We assessed if metformin is associated with reduced incidence of severe COVID-19 for patients with prediabetes or polycystic ovary syndrome (PCOS), common diseases that increase the risk of severe COVID-19.

METHODS

This observational, retrospective study utilized EHR data from 52 hospitals for COVID-19 patients with PCOS or prediabetes treated with metformin or levothyroxine/ondansetron (controls). After balancing via inverse probability score weighting, associations with COVID-19 severity were assessed by logistic regression.

RESULTS

In the prediabetes cohort, when compared to levothyroxine, metformin was associated with a significantly lower incidence of COVID-19 with "mild-ED" or worse (OR [95% CI]: 0.636, [0.455-0.888]) and "moderate" or worse severity (0.493 [0.339-0.718]). Compared to ondansetron, metformin was associated with lower incidence of "mild-ED" or worse severity (0.039 [0.026-0.057]), "moderate" or worse (0.045 [0.03-0.069]), "severe" or worse (0.183 [0.077-0.431]), and "mortality/hospice" (0.223 [0.071-0.694]). For PCOS, metformin showed no significant differences in severity compared to levothyroxine, but was associated with a significantly lower incidence of "mild-ED" or worse (0.101 [0.061-0.166]), and "moderate" or worse (0.094 [0.049-0.18]) COVID-19 outcome compared to ondansetron.

CONCLUSIONS

Metformin use is associated with less severe COVID-19 in patients with prediabetes or PCOS.

Association between antidepressant use and ED or hospital visits in outpatients with SARS-CoV-2

Antidepressants have previously been associated with better outcomes in patients hospitalized with COVID-19, but their effect on clinical deterioration among ambulatory patients has not been fully explored. The objective of this study was to assess whether antidepressant exposure was associated with reduced emergency department (ED) or hospital visits among ambulatory patients with SARS-CoV-2 infection. This retrospective cohort study included adult patients (N = 25 034) with a positive SARS-CoV-2 test performed in a non-hospital setting. Logistic regression analyses tested associations between home use of antidepressant medications and a composite outcome of ED visitation or hospital admission within 30 days. Secondary exposures included individual antidepressants and antidepressants with functional inhibition of acid sphingomyelinase (FIASMA) activity. Patients with antidepressant exposure were less likely to experience the primary composite outcome compared to patients without antidepressant exposure (adjusted odds ratio [aOR] 0.89, 95% CI 0.79-0.99, p = 0.04). This association was only observed with daily doses of at least 20 mg fluoxetine-equivalent (aOR 0.87, 95% CI 0.77-0.99, p = 0.04), but not with daily doses lower than 20 mg fluoxetine-equivalent (aOR 0.94, 95% CI 0.80-1.11, p = 0.48). In exploratory secondary analyses, the outcome incidence was also reduced with exposure to selective serotonin reuptake inhibitors (aOR 0.87, 95% CI 0.75-0.99, p = 0.04), bupropion (aOR 0.70, 95% CI 0.55-0.90, p = 0.005), and FIASMA antidepressant drugs (aOR 0.87, 95% CI 0.77-0.99, p = 0.03). Antidepressant exposure was associated with a reduced incidence of emergency department visitation or hospital admission among SARS-CoV-2 positive patients, in a dose-dependent manner. These data support the FIASMA model of antidepressants' effects against COVID-19.

Hypothesis-Agnostic Network-Based Analysis of Real-World Data Suggests Ondansetron is Associated with Lower COVID-19 Any Cause Mortality

Background

The COVID-19 pandemic generated a massive amount of clinical data, which potentially hold yet undiscovered answers related to COVID-19 morbidity, mortality, long-term effects, and therapeutic solutions.

Objectives

The objectives of this study were (1) to identify novel predictors of COVID-19 any cause mortality by employing artificial intelligence analytics on real-world data through a hypothesis-agnostic approach and (2) to determine if these effects are maintained after adjusting for potential confounders and to what degree they are moderated by other variables.

Methods

A Bayesian statistics-based artificial intelligence data analytics tool (bAIcis^®) within the Interrogative Biology^® platform was used for Bayesian network learning and hypothesis generation to analyze 16,277 PCR+ patients from a database of 279,281 inpatients and outpatients tested for SARS-CoV-2 infection by antigen, antibody, or PCR methods during the first pandemic year in Central Florida. This approach generated Bayesian networks that enabled unbiased identification of significant predictors of any cause mortality for specific COVID-19 patient populations. These findings were further analyzed by logistic regression, regression by least absolute shrinkage and selection operator, and bootstrapping.

Results

We found that in the COVID-19 PCR+ patient cohort, early use of the antiemetic agent ondansetron was associated with decreased any cause mortality 30 days post-PCR+ testing in mechanically ventilated patients.

Conclusions

The results demonstrate how a real-world COVID-19-focused data analysis using artificial intelligence can generate unexpected yet valid insights that could possibly support clinical decision making and minimize the future loss of lives and resources.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40801-022-00303-9.

Early Postoperative Ondansetron Exposure is Associated with Reduced 90-Day Mortality in Patients Undergoing Cardiac Surgery

Background

Ondansetron is a widely used anti-emetic for the prevention and treatment of nausea and vomiting for patients in critical care. Recent retrospective cohort studies suggest the potential beneficial effects of ondansetron in critically ill patients. In this study, we investigate the impact of ondansetron use on patient outcomes after cardiac surgery.

Material and Methods

The MIMIC-III database was used to identify two types of cardiac surgical patients: those who were administered early ondansetron and those who were not given this early medication in the first 48 h in the postoperative period. Multivariable logistic regression was used to investigate the effect of ondansetron exposure on 90-day mortality, acute kidney injury, and malignant ventricular arrhythmias. Sensitivity analyses utilizing the inverse probability of treatment weighting and covariate balancing propensity score models were conducted to test the robustness of our findings.

Results

A total of 12.4% of patients received ondansetron. Ondansetron use was associated with a lower risk of 90-day mortality in the multivariable logistic regression model (OR: 0.31, 95% CI: 0.13 to 0.72; P = 0.006) and sensitivity analyses. Additionally, ondansetron exposure was associated with less postoperative acute kidney injury (OR: 0.82, 95%CI: 0.69 to 0.96; P = 0.017) but did not increase the risk of postoperative malignant ventricular arrhythmias (OR: 0.38, 95%CI: 0.09 to 1.16; P = 0.191).

Conclusions

In a population of cardiac surgical patients, early postoperative use of ondansetron appears to be associated with decreased 90-day mortality and acute kidney injury.

Association between early ondansetron administration and in-hospital mortality in critically ill patients: analysis of the MIMIC-IV database

Background

While ondansetron (OND) is widespread availability, the contribution of OND to improve patient outcomes among intensive care unit (ICU) patients has not been examined. This study aimed to illustrate the association between early OND use and in-hospital mortality in critically ill patients and investigate whether this association differed according to OND dose.

Methods

The MIMIC-IV database was employed to identify patients who had and had not received OND. Statistical approaches included multivariate logistic regression, propensity score matching (PSM), and propensity score-based inverse probability of treatment weighting (IPTW) models to ensure the robustness of our findings.

Results

In total, 51,342 ICU patients were included. A significant benefit in terms of in-hospital mortality was observed in the OND patients compared to the non-OND group in the early stage [odds ratio (OR) = 0.75, 95% CI 0.63–0.89, p < 0.001]. In the circulatory system group, the early OND administration was associated with improved in-hospital mortality in ICU patients (OR 0.48, 95% CI 0.34–0.66; P < 0.001). The risk of in-hospital mortality was also lower in early OND users than in non-OND users both in the medical admission group and the surgical ICU admission group, and ORs were 0.57 (95% CI 0.42–0.76; P < 0.001) and 0.79 (95% CI 0.62–0.91; P < 0.001), respectively.

A positive role of daily low- and moderate-dose OND treatment in early-stage was showed on the in-hospital mortality in PSM cohort, and the ORs were 0.75 (95% CI 0.62–0.90; P < 0.001) and 0.63 (95% CI 0.43–0.91; P < 0.001), respectively. The relationship between the daily low- and moderate-dose of OND and in-hospital mortality was also significant in ICU patients with cardiovascular diseases, and ORs were 0.51(95% CI 0.36–0.73; P < 0.001), and 0.26(95% CI 0.11–0.65; P < 0.001), respectively. Daily low-to-moderate dose of OND was also associated with in-hospital mortality in ICU entire cohort.

Conclusions

Early OND use is closely associated with lower in-hospital mortality in ICU patients. Daily low-to-moderate dose of OND application is protective against in-hospital mortality. This association is more evident in the circulatory system group.

Graphical Abstract

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-022-03401-y.