Abstract
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.
1 Introduction
The incidence of traumatic brain injury (TBI) is estimated to be 69 million per year around the world (). Nearly 44% of moderate-to-severe TBI survivors suffer from long-term disability and have a subsequent mortality rate of 16.5% per year (; ). Many novel therapies have been explored and developed for TBI, such as hyperbaric oxygen, deep brain stimulation, and erythropoietin. An important component of works improving the prognosis of TBI is developing novel drugs for neuroprotection, such as statin, glibenclamide, and inosine.
As a serotonin 5-hydroxytryptamine (5-HT3) receptor antagonist, ondansetron is commonly used for preventing and alleviating nausea and vomiting in patients receiving radio-chemotherapy or undergoing surgery. In addition to decreasing vomit-related complications, ondansetron has also been verified to improve the prognosis of critically ill patients, including those confirmed with acute kidney injury, coronavirus disease 2019 (COVID-19), or undergoing cardiac surgery (; ; ; ; ; ). Some studies have confirmed the pleiotropic effects of ondansetron, including anticoagulation, regulation of inflammation and immune status, renal protection, and neuroprotection (; ; ; ; ). One previous study showed that ondansetron treatment could attenuate blood–brain barrier breakdown, edema formation, decrease glial fibrillary acidic protein, and heat shock protein expression in rat models of morphine withdrawal (). In addition, one retrospective cohort study involving COVID-19 patients found that the long-term incidence of ischemic cerebral ischemia was lower in patients receiving ondansetron treatment (). The neuroprotective role of ondansetron has not been widely verified in other kinds of brain injury patients. Nausea and vomiting are common symptoms among TBI patients, with prevalence ranging from 25% to 30% (). Ondansetron is usually prescribed to effectively alleviate these symptoms of TBI patients. However, the effect of ondansetron on the prognosis of TBI patients has not been explored. Therefore, we conducted this study to verify the association between ondansetron treatment and mortality of TBI patients.
2 Materials and methods
2.1 Patients
Patients were selected from the Medical Information Mart for Intensive Care-III (MIMIC-III) database, which is an intensive care database enrolling patients hospitalized in the Beth Israel Deaconess Medical Center (BIDMC) (Boston, MA) between 2001 and 2012. The MIMIC-III database was produced by the computational physiology laboratory of Massachusetts Institute of Technology (MIT) and obtained ethical approval from the review boards of MIT and BIDMC. All enrolling patients have been de-identified and anonymized to protect their privacy. We included 2,680 TBI patients for the study from the MIMIC-III database according to the following ICD-9 codes: 80000–80199, 80300–80499, and 8500–85419. Eligible patients were excluded according to following criteria: (1) age<18 (n = 32), (2) lacking records of the Glasgow Coma Scale (GCS) on admission (n = 65), (3) lacking records of vital signs and laboratory tests (n = 116), and (4) Abbreviated Injury Score (AIS) < 3 (n = 187). A total of 2,280 patients were finally included for analyses (Figure 1).
FIGURE 1
2.2 Data collection
Age, gender, and vital signs on admission, including systolic blood pressure, diastolic blood pressure, heart rate, and saturation of pulse oxygen (SpO2), were recorded. GCS and the Injury Severity Score (ISS) were selected as markers of injury severity. Comorbidities were also recorded, including diabetes, hypertension, hyperlipidemia, coronary heart disease, history of myocardial infarction, cerebral vascular disease, chronic liver disease, chronic renal disease, and cancer. Intracranial injury types were collected, including epidural hematoma, subdural hematoma, subarachnoid hemorrhage, and intraparenchymal hemorrhage. Laboratory tests, including white blood cell, platelet, red blood cell, red cell distribution width, hemoglobin, glucose, blood urea nitrogen, serum creatinine, serum sodium, and serum potassium, were acquired by analyzing the first blood sample on the first day after admission. Coagulopathy was diagnosed based on the following criteria: activated prothrombin time >40 s or/and international normalized ratio >1.2 or/and platelet <120×109/L (; ). Medical treatments during the first 24 h, including vasopressor use, red cell transfusion, and platelet transfusion, were included as variables. The usage of ondansetron, including intravenous injection and oral tablet, since admission to the BIDMC was identified. The primary outcome of this study was the 30-day mortality. The length of intensive care unit (ICU) stay and length of hospital stay were compared between the ondansetron and non-ondansetron groups. All the mentioned variables were extracted using the Structured Query Language from the MIMIC-III database.
2.3 Statistical analysis
The normality of the included variables was verified by the Kolmogorov–Smirnov test. The normally distributed variables were shown as mean ± standard deviation, and the non-normally distributed variables were shown as median (interquartile range). The differences between the two groups of normally distributed variables and non-normally distributed variables were analyzed by the Student’s t-test or Mann–Whitney U test, respectively. Categorical variables were presented as counts (percentage). The difference between two groups of categorical variables was analyzed by the chi-squared test or Fisher’s exact test. The association between the ondansetron use and mortality of TBI patients was verified by the univariate and subsequent multivariate logistic regression. Then, propensity score matching (PSM) was conducted to generate baseline balanced cohorts (ondansetron and non-ondansetron groups) with a matching ratio of 1:1. The association between the ondansetron use and mortality of TBI patients was verified in the cohort after PSM by the logistic regression and Cox regression again. Sub-group analysis was also performed in the cohort after PSM with different TBI severity levels (GCS ≤12 and GCS >12).
The two-sided p-value < 0.05 was defined as statistically significant. R (version 3.6.1; R Foundation) was utilized to perform statistical analyses and draw figures.
3 Results
3.1 Baseline characteristics of TBI patients
In TBI cohorts before PSM, the usage incidence of ondansetron was 37.2% (847/2,280) (Table 1). Compared with the non-ondansetron group, the ondansetron group had lower age (p = 0.031), higher GCS (p < 0.001), and lower ISS (p < 0.001). Epidural hematoma (p = 0.006) and subdural hematoma (p = 0.001) were more frequently observed in the ondansetron group. In addition, the white blood cell (p = 0.001), red cell distribution width (p = 0.025), glucose (p = 0.001), and serum creatinine (p = 0.023) were lower in the ondansetron group, while platelet (p < 0.001), red blood cell (p = 0.001), and hemoglobin (p = 0.015) were higher in the ondansetron group. The ondansetron group was less likely to receive vasopressor (p < 0.001), red cell transfusion (p = 0.003), and mechanical ventilation (p < 0.001). The 30-day mortality was significantly lower in the ondansetron group (9.7% vs. 22.5%, p < 0.001). In TBI cohorts after PSM, the ondansetron group had a longer length of hospital stay (p < 0.001). The mortality of the ondansetron group was lower than that of the non-ondansetron group, although without statistical significance (10.2% vs. 13.1%, p = 0.079).
TABLE 1
| Cohorts before PSM | Cohorts after PSM | |||||||
|---|---|---|---|---|---|---|---|---|
| Variable | Overall patients (N = 2,280) | Non-ondansetron group (N = 1,433, 62.8%) | Ondansetron group (N = 847, 37.2%) | p | Overall patients (N = 1,536) | Non-ondansetron group (N = 768) | Ondansetron group (N = 768) | p |
| Age (year) | 64.9 (43.7–81.0) | 66.4 (44.3–81.6) | 61.8 (42.6–80.0) | 0.031 | 64.6 (43.2–81.1) | 64.6 (41.8–81.4) | 64.6 (44.5–81.0) | 0.778 |
| Male gender (%) | 1,400 (61.4%) | 921 (64.3%) | 479 (56.6%) | <0.001 | 879 (57.7%) | 441 (57.9%) | 438 (57.5%) | 0.876 |
| Vital signs on admission | ||||||||
| Systolic blood pressure (mmHg) | 132 (117–147) | 132 (116–147) | 132 (117–147) | 0.870 | 133 (118–147) | 133 (118–147) | 133 (117–147) | 0.759 |
| Diastolic blood pressure (mmHg) | 67 (56–77) | 67 (56–77) | 67 (56–78) | 0.465 | 67 (57–77) | 67 (57–77) | 67 (56–78) | 0.821 |
| Heart rate (s-1) | 83 (72–96) | 84 (72–97) | 82 (72–94) | 0.046 | 82 (72–95) | 82 (71–95) | 82 (73–95) | 0.998 |
| SpO2 (%) | 99 (97–100) | 99 (97–100) | 99 (97–100) | 0.006 | 99 (97–100) | 99 (97–100) | 99 (97–100) | 0.878 |
| GCS | 12 (6–15) | 10 (6–15) | 14 (9–15) | <0.001 | 14 (8–15) | 14 (8–15) | 14 (8–15) | 0.314 |
| ISS | 16 (16–25) | 16 (16–25) | 16 (16–20) | <0.001 | 16 (16–21) | 16 (16–21) | 16 (16–21) | 0.825 |
| Comorbidities | ||||||||
| Diabetes (%) | 351 (15.4%) | 229 (16.0%) | 122 (14.4%) | 0.343 | 237 (15.6%) | 120 (15.7%) | 117 (15.4%) | 0.832 |
| Hypertension (%) | 844 (37.0%) | 537 (37.5%) | 307 (36.2%) | 0.588 | 572 (37.3%) | 283 (37.1%) | 289 (37.9%) | 0.751 |
| Hyperlipidemia (%) | 298 (13.1%) | 175 (12.2%) | 123 (14.5%) | 0.129 | 221 (14.5%) | 110 (14.4%) | 111 (14.6%) | 0.942 |
| Coronary heart disease (%) | 293 (12.9%) | 183 (12.8%) | 110 (13.0%) | 0.933 | 202 (13.3%) | 99 (13.0%) | 103 (13.5%) | 0.763 |
| History of myocardial infarction | 83 (3.6%) | 56 (3.9%) | 27 (3.2%) | 0.440 | 46 (3.0%) | 20 (2.6%) | 26 (3.4%) | 0.369 |
| Cerebral vascular disease (%) | 41 (1.8%) | 26 (1.8%) | 15 (1.8%) | 1.000 | 29 (1.9%) | 15 (2.0%) | 14 (1.8%) | 0.851 |
| Chronic liver disease | 94 (4.1%) | 64 (4.5%) | 30 (3.5%) | 0.335 | 62 (4.1%) | 32 (4.2%) | 30 (3.9%) | 0.795 |
| Chronic renal disease (%) | 153 (6.7%) | 97 (6.8%) | 56 (6.6%) | 0.953 | 110 (7.2%) | 56 (7.3%) | 54 (7.1%) | 0.843 |
| Cancer (%) | 238 (10.4%) | 137 (9.6%) | 101 (11.9%) | 0.087 | 175 (11.5%) | 83 (10.9%) | 92 (12.1%) | 0.47 |
| Intracranial injury type | ||||||||
| Epidural hematoma (%) | 543 (23.8%) | 314 (21.9%) | 229 (27.0%) | 0.006 | 386 (25.3%) | 192 (25.2%) | 194 (25.5%) | 0.906 |
| Subdural hematoma (%) | 1,319 (57.9%) | 789 (55.1%) | 530 (62.6%) | 0.001 | 930 (61.0%) | 464 (60.9%) | 466 (61.2%) | 0.916 |
| Subarachnoid hemorrhage (%) | 958 (42.0%) | 613 (42.8%) | 345 (40.7%) | 0.362 | 617 (40.5%) | 305 (40.0%) | 312 (40.9%) | 0.715 |
| Intraparenchymal hemorrhage (%) | 447 (19.6%) | 294 (20.5%) | 153 (18.1%) | 0.170 | 288 (18.9%) | 143 (18.8%) | 145 (19.0%) | 0.896 |
| Laboratory tests | ||||||||
| White blood cell (10^9/L) | 11.60 (8.40–15.70) | 11.80 (8.70–16.10) | 11.30 (8.20–15.00) | 0.001 | 11.40 (8.20–15.20) | 11.40 (8.20–15.50) | 11.40 (8.20–15.10) | 0.802 |
| Platelet (10^9/L) | 230 (183–285) | 225 (177–280) | 241 (191–293) | <0.001 | 234 (189–288) | 231 (189–288) | 235 (188–289) | 0.375 |
| Red blood cell (10^9/L) | 4.13 (3.67–4.57) | 4.10 (3.63–4.53) | 4.20 (3.74–4.62) | 0.001 | 4.14 (3.71–4.59) | 4.13 (3.71–4.58) | 4.15 (3.71–4.60) | 0.772 |
| Red cell distribution width | 13.5 (12.9–14.4) | 13.6 (13.0–14.4) | 13.4 (12.8–14.3) | 0.025 | 13.5 (12.9–14.4) | 13.5 (12.9–14.4) | 13.5 (12.9–14.4) | 0.891 |
| Hemoglobin (g/dL) | 12.8 (11.4–14.1) | 12.7 (11.2–14.0) | 12.9 (11.6–14.2) | 0.015 | 12.80 (11.50–14.20) | 12.80 (11.40–14.10) | 12.80 (11.50–14.20) | 0.815 |
| Glucose (mg/dL) | 132 (110–165) | 134 (110–170) | 128 (108–156) | 0.001 | 128 (108–158) | 124 (106–157) | 131 (110–159) | 0.073 |
| Blood urea nitrogen (mg/dL) | 16 (12–23) | 17 (12–23) | 16 (12–22) | 0.157 | 16 (12–22) | 16 (12–22) | 16 (12–22) | 0.567 |
| Serum creatinine (mg/dL) | 0.9 (0.7–1.1) | 0.9 (0.8–1.1) | 0.9 (0.7–1.1) | 0.023 | 0.9 (0.7–1.1) | 0.9 (0.7–1.1) | 0.9 (0.7–1.1) | 0.864 |
| Serum sodium (mmol/L) | 139 (137–141) | 139 (137–142) | 139 (137–141) | 0.115 | 139 (137–141) | 139 (137–141) | 139 (137–141) | 0.854 |
| Serum potassium (mmol/L) | 4.0 (3.7–4.4) | 4.0 (3.7–4.4) | 4.0 (3.7–4.4) | 0.764 | 4 (3.7–4.4) | 4.0 (3.7–4.3) | 4.0 (3.7–4.4) | 0.651 |
| Coagulopathy | 743 (32.6%) | 512 (35.7%) | 231 (27.3%) | <0.001 | 451 (29.6%) | 229 (30.1%) | 222 (29.1%) | 0.694 |
| Vasopressor during the first 24 h (%) | 150 (6.6%) | 126 (8.8%) | 24 (2.8%) | <0.001 | 51 (3.3%) | 27 (3.5%) | 24 (3.2%) | 0.669 |
| Red cell transfusion during the first 24 h (%) | 178 (7.8%) | 131 (9.1%) | 47 (5.5%) | 0.003 | 86 (5.6%) | 40 (5.2%) | 46 (6.0%) | 0.505 |
| Platelet transfusion during first 24 h (%) | 223 (9.8%) | 139 (9.7%) | 84 (9.9%) | 0.924 | 147 (9.6%) | 74 (9.7%) | 73 (9.6%) | 0.931 |
| Mechanical ventilation (%) | 1,034 (45.4%) | 760 (53.0%) | 274 (32.3%) | <0.001 | 535 (35.1%) | 270 (35.4%) | 265 (34.8%) | 0.788 |
| Neurosurgery (%) | 572 (25.1%) | 344 (24.0%) | 228 (26.9%) | 0.134 | 367 (24.1%) | 174 (22.8%) | 193 (25.3%) | 0.255 |
| Thirty-day mortality (%) | 404 (17.7%) | 322 (22.5%) | 82 (9.7%) | <0.001 | 178 (11.7%) | 100 (13.1%) | 78 (10.2%) | 0.079 |
| Length of ICU stay (day) | 2 (1–6) | 3 (1–7) | 2 (1–4) | <0.001 | 2 (1–4) | 2 (1–4) | 2 (1–5) | 0.425 |
| Length of hospital stay (day) | 6 (4–12) | 6 (3–13) | 6 (4–12) | 0.846 | 6 (4–12) | 6 (3–11) | 6 (4–12) | <0.001 |
Baseline characteristics of TBI patients divided by ondansetron use.
SpO2, pulse oxygen saturation; GCS, Glasgow Coma Scale; ISS, Injury Severity Score.
Bold values mean p <0.05.
3.2 Effect of ondansetron on mortality of TBI patients
In TBI cohorts before PSM, univariate logistic regression showed that age (p < 0.001), diastolic blood pressure (p = 0.002), GCS (p < 0.001), ISS (p < 0.001), diabetes (p = 0.003), chronic renal disease (p < 0.001), cancer (p = 0.022), white blood cell (p < 0.001), platelet (p < 0.001), red blood cell (p < 0.001), red cell distribution width (p < 0.001), hemoglobin (p < 0.001), glucose (p < 0.001), blood urea nitrogen (p < 0.001), serum creatinine (p < 0.001), coagulopathy (p < 0.001), vasopressor use (p < 0.001), red cell transfusion (p < 0.001), platelet transfusion (p < 0.001), ondansetron (p < 0.001), mechanical ventilation (p < 0.001), and neurosurgery (p = 0.001) were associated with the mortality of TBI patients (Table 2). However, after adjusting the confounding effects, multivariate logistic regression showed 10 independent risk factors of mortality, including age (p < 0.001), GCS (p < 0.001), ISS (p < 0.001), chronic renal disease (p = 0.004), white blood cell (p = 0.004), red cell distribution width (p < 0.001), glucose (p = 0.002), coagulopathy (p = 0.018), ondansetron (p = 0.008), and mechanical ventilation (p < 0.001). In TBI cohorts after PSM, logistic regression indicated that ondansetron use was significantly associated with the lower mortality of moderate-to-severe TBI (p < 0.001) but not mild TBI (p = 0.051) (Table 3) (Figure 2). 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).
TABLE 2
| Univariate logistic regression analysis | Multivariate logistic regression analysis | |||||
|---|---|---|---|---|---|---|
| Variables | OR | 95% CI | p | OR | 95% CI | p |
| Age | 1.025 | 1.020–1.031 | <0.001 | 1.049 | 1.040–1.058 | <0.001 |
| Male gender | 0.881 | 0.708–1.097 | 0.257 | |||
| Systolic blood pressure | 0.997 | 0.992–1.001 | 0.139 | |||
| Diastolic blood pressure | 0.989 | 0.983–0.996 | 0.002 | 1.001 | 0.994–1.009 | 0.724 |
| Heart rate | 0.998 | 0.992–1.004 | 0.434 | |||
| SpO2 | 0.995 | 0.976–1.015 | 0.652 | |||
| GCS | 0.819 | 0.798–0.841 | <0.001 | 0.832 | 0.799–0.867 | <0.001 |
| ISS | 1.047 | 1.036–1.059 | <0.001 | 1.045 | 1.029–1.062 | <0.001 |
| Diabetes | 1.521 | 1.156–2.002 | 0.003 | 0.875 | 0.603–1.269 | 0.482 |
| Hypertension | 1.128 | 0.905–1.407 | 0.283 | |||
| Hyperlipidemia | 1.059 | 0.773–1.451 | 0.721 | |||
| Coronary heart disease | 1.171 | 0.859–1.596 | 0.319 | |||
| History of myocardial infarction | 0.858 | 0.470–1.566 | 0.617 | |||
| Cerebral vascular disease | 1.313 | 0.622–2.772 | 0.475 | |||
| Chronic liver disease | 0.951 | 0.549–1.646 | 0.856 | |||
| Chronic renal disease | 2.431 | 1.702–3.473 | <0.001 | 2.145 | 1.277–3.603 | 0.004 |
| Cancer | 1.458 | 1.056–2.013 | 0.022 | 1.173 | 0.776–1.773 | 0.449 |
| Epidural hematoma | 1.064 | 0.829–1.366 | 0.626 | |||
| Subdural hematoma | 1.003 | 0.807–1.248 | 0.975 | |||
| Subarachnoid hemorrhage | 1.176 | 0.947–1.461 | 0.141 | |||
| Intraparenchymal hemorrhage | 0.833 | 0.629–1.104 | 0.204 | |||
| White blood cell | 1.039 | 1.023–1.055 | <0.001 | 1.032 | 1.010–1.055 | 0.004 |
| Platelet | 0.997 | 0.996–0.999 | <0.001 | 0.999 | 0.997–1.000 | 0.091 |
| Red blood cell | 0.572 | 0.491–0.668 | <0.001 | 0.995 | 0.652–1.519 | 0.981 |
| Red cell distribution width | 1.214 | 1.146–1.287 | <0.001 | 1.171 | 1.074–1.277 | <0.001 |
| Hemoglobin | 0.816 | 0.776–0.859 | <0.001 | 0.992 | 0.855–1.150 | 0.911 |
| Glucose | 1.008 | 1.007–1.010 | <0.001 | 1.003 | 1.001–1.006 | 0.002 |
| Blood urea nitrogen | 1.024 | 1.016–1.032 | <0.001 | 1.002 | 0.989–1.015 | 0.793 |
| Serum creatinine | 1.260 | 1.116–1.422 | <0.001 | 0.978 | 0.787–1.214 | 0.840 |
| Serum sodium | 1.020 | 0.994–1.046 | 0.135 | |||
| Serum potassium | 0.972 | 0.831–1.137 | 0.721 | |||
| Coagulopathy | 4.295 | 3.050–6.048 | <0.001 | 1.673 | 1.091–2.564 | 0.018 |
| Vasopressor during the first 24 h | 2.674 | 1.921–3.721 | <0.001 | 1.184 | 0.767–1.828 | 0.446 |
| Red cell transfusion during the first 24 h | 2.247 | 1.651–3.058 | <0.001 | 0.990 | 0.657–1.492 | 0.963 |
| Platelet transfusion during the first 24 h | 2.407 | 1.933–2.996 | <0.001 | 1.256 | 0.942–1.675 | 0.121 |
| Ondansetron | 0.370 | 0.285–0.479 | <0.001 | 0.661 | 0.485–0.900 | 0.008 |
| Mechanical ventilation | 4.627 | 3.629–5.899 | <0.001 | 1.924 | 1.353–2.736 | <0.001 |
| Neurosurgery | 1.474 | 1.165–1.866 | 0.001 | 1.103 | 0.816–1.490 | 0.525 |
Risk factors of mortality analyzed by univariate and multivariate logistic regression before PSM.
OR, odds ratio; CI, confidence interval; SpO2; pulse oxygen saturation; GCS, Glasgow Coma Scale; ISS, Injury Severity Score.
Bold values mean p <0.05.
TABLE 3
| OR | 95% CI | p | HR | 95% CI | p | |
|---|---|---|---|---|---|---|
| Overall patients | 0.761 | 0.558–1.038 | 0.085 | 0.774 | 0.579–1.036 | 0.085 |
| Mild TBI | 1.671 | 0.998–2.797 | 0.051 | 1.638 | 0.996–2.693 | 0.052 |
| Moderate-to-severe TBI | 0.455 | 0.299–0.692 | <0.001 | 0.495 | 0.338–0.725 | <0.001 |
Association between ondansetron use and mortality in TBI sub-groups after PSM analyzed by the logistic regression and Cox regression.
OR, odds ratio; CI, confidence interval; HR, hazard ratio.
Bold values mean p <0.05.
FIGURE 2
4 Discussion
Ondansetron is a widely used antiemetic drug for patients receiving radio-chemotherapy or undergoing surgery. In our study, ondansetron was commonly used among TBI patients, with the incidence of 37.2%. The ondansetron group of TBI patients in our study had higher GCS than the non-ondansetron group, which indicated that TBI patients with a better status of consciousness may be more likely to present nausea and vomiting. Furthermore, the sub-group analysis of our study indicated that ondansetron treatment was significantly associated with the mortality of moderate-to-severe TBI patients but not mild TBI patients. The effect of ondansetron on the mortality outcome has also been verified among other kinds of critically ill patients, including those diagnosed with acute kidney injury, COVID-19, or undergoing cardiac surgery (; ; ; ; ; ). This beneficial influence may not only depend on the antiemetic effect but also on other effects of ondansetron, including anticoagulation, regulation of inflammation and immune status, renal protection, and neuroprotection (; ; ; ; ).
One animal study of morphine withdrawal showed that blood–brain barrier breakdown, edema formation, and the production of glial fibrillary acidic protein and heat shock protein could be attenuated by ondansetron treatment (). Additionally, ondansetron could inhibit the platelet aggregation by reducing agonist-induced inositol 1,4,5-triphosphate production and mitogen-activated protein kinases phosphorylation, which results in decreased intracellular Ca2+ mobilization, thromboxane B2 formation, and adenosine triphosphate release (). A retrospective cohort study showed that the effect of ondansetron on lowering the rates of venous thromboembolisms among hospitalized patients was similar to that of aspirin (). Furthermore, some studies reported the anti-inflammatory role of ondansetron in animal models of pancreatitis, colitis, and hepatic injury (; ; ). Two other studies found that 5-HT receptor antagonists, including sarpogrelate and tropisetron, could decrease the production of pro-inflammatory cytokines in shock models (; ). In addition, ondansetron has been used to control symptoms of neuropsychiatric diseases, including obsessive compulsive disorder, through decreasing the dopaminergic activity and the release of serotonin, norepinephrine, and acetylcholine, which also play an important role in the pathophysiological process of TBI (; ). Therefore, we reasonably hypothesize that ondansetron could improve the prognosis of TBI by regulating coagulation, inflammation, and immune status and protecting the kidney and brain after an injury. In addition, ondansetron may reduce the risk of pulmonary complications through decreasing vomiting-induced aspiration and excessive inflammation in the lungs.
Our observational study analyzes the relationship between ondansetron use and outcomes of TBI patients, which provides a new perspective and opportunity to develop therapeutic strategies for TBI. The causal relationship between ondansetron use and outcomes of TBI and the influence of ondansetron on pathophysiological changes of injured organs after TBI should be explored in future animal studies. Randomized controlled trials could be performed to verify the interventional effect of ondansetron use on the prognosis of moderate-to-severe TBI and further explore the optimal dose of ondansetron to improve the prognosis of moderate-to-severe TBI. Additionally, although ondansetron use was not found to be related to the mortality risk of mild TBI patients, it is still worth being prescribed in the conventional dose for mild TBI to alleviate nausea and vomiting.
This study has several limitations. First, confounding factors may not be totally adjusted due to the nature of an observational study. Future prospective randomized trials should be performed to verify the effect of ondansetron on the prognosis of TBI. Second, the primary outcome of this study was the 30-day mortality. Other outcomes, including functional status and cognitive status, were not recorded in the database so that we could not analyze the relationship between ondansetron and these outcomes. Third, we did not specifically analyze the administration time and dosage of ondansetron, although recent studies recommended a daily dose of ondansetron of no more than 16 mg (; ). Fourth, we did not explore the effect of ondansetron on QT interval prolongation, although one previous study confirmed no significant changes of electrocardiogram parameters including QT interval after ondansetron administration (). Finally, we did not include other 5-HT3 receptor antagonists such as granisetron or tropisetron in the analysis due to their rare usage in the MIMIC-III database.
5 Conclusion
Considering the prognostic effect, ondansetron administration is associated with the improved survival outcome of moderate-to-severe TBI but not mild TBI patients. The clinical effect, optimal dose, and timing of ondansetron use for improving the prognosis of moderate-to-severe TBI are worth exploring in future studies.
Statements
Data availability statement
The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the Ethics Committee of West China hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and institutional requirements.
Author contributions
RW: conceptualization, data curation, formal analysis, and writing–original draft. JZ: data curation, formal analysis, and writing–original draft. JX: funding acquisition, project administration, validation, and writing–review and editing. MH: supervision, validation, and writing–review and editing.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was funded by the 1·3·5 project for disciplines of excellence—Clinical Research Incubation Project, West China Hospital, Sichuan University (2020HXFH036), the Knowledge Innovation Program of the Chinese Academy of Sciences (JH2022007), the National Natural Science Foundation of China (82173175), and the Department of Science and Technology of Sichuan Province (24QYCX0411).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Summary
Keywords
traumatic brain injury, ondansetron, 5-HT3 receptor antagonist, mortality, population study
Citation
Wang R, Zhang J, Xu J and He M (2024) The association between ondansetron use and mortality risk of traumatic brain injury patients: a population-based study. Front. Pharmacol. 15:1362309. doi: 10.3389/fphar.2024.1362309
Received
05 January 2024
Accepted
09 April 2024
Published
02 May 2024
Volume
15 - 2024
Edited by
Lirong Wang, University of Pittsburgh, United States
Reviewed by
Enéas Andrade Fontes-Júnior, Federal University of Pará, Brazil
Mohammadreza Shalbafan, Iran University of Medical Sciences, Iran
Updates
Copyright
© 2024 Wang, Zhang, Xu and He.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jianguo Xu, xujg@scu.edu.cn; Min He, hemin19910306@wchscu.cn
† These authors share first authorship
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.