Objectives: Modified shock index (MSI) is a simple bedside tool used in the emergency department. There are a few studies suggesting MSI as a good prognostic indicator than shock index in sepsis patients. However, there is not enough research emphasizing the role of MSI in patients with comorbidities. Hence, this study aims to assess the predictive validity of MSI in predicting the prognosis of sepsis patients with and without co-morbidities. Methods: From January to December 2020, a prospective observational study was conducted in a tertiary care teaching hospital. Patients with sepsis diagnosed based on systemic inflammatory response syndrome criteria and quick sequential organ failure assessment (qSOFA) were included. The need for mechanical ventilation and step down from the intensive care unit were outcome variables, MSI was considered as a predictor variable, and co-morbidities as an explanatory variable. Results: Among people with co-morbidities, the MSI value on arrival to the emergency department had fair predictive validity in predicting the need for mechanical ventilation after 24 hours, as indicated by the area under the curve of 0.749 (95% CI: 0.600-0.897; p-value = 0.002) and a sensitivity of 68.75% in predicting mechanical ventilation after 24 hours (MSI ≥ 1.59). Among people without co-morbidities, the MSI value on arrival to the emergency department had fair predictive validity in predicting the need for mechanical ventilation after 24 hours, as indicated by the area under the curve of 0.879 (95% CI: 0.770-0.988; p-value <0.001) and a sensitivity of 83.33% in predicting the need for mechanical ventilation after 24 hours (MSI ≥ 1.67). Conclusion: MSI can be used as an indicator in predicting the prognosis of sepsis patients in the emergency department. A simple bedside calculation of the MSI can indicate the need for mechanical ventilation and step down from the intensive care unit after 24 hours in patients with co-morbidities and without co-morbidities.
Background and objectiveEmergency physicians come across a myriad of medical afflictions resulting from suicide attempts. The Indian contribution to global suicide deaths is alarming; the social construct of India is unique, and so are the problems and challenges. This study aims to describe the social background, demographic parameters and correlate the clinical profile and outcomes of all patients presenting with an attempted or completed suicide.
Background: A simple arithmetic combination of the Glasgow Coma Scale (GCS) score and pupillary response, the GCS-Pupil (GCS-P), extends the information provided about the patient outcome to an extent comparable to that obtained using more complex methods. The objective of the study was to compare the changes in the GCS-P score of patients with traumatic brain injury (TBI) under alcohol intoxication and nontoxication over time. Methods: A prospective observational study was done in a hospital at the Level I trauma center. The patients admitted to the emergency department (ED) with TBI were the study participants. They were grouped into intoxicated and nonintoxicated based on blood alcohol concentration (BAC). BAC of 0.08% and above was considered intoxication. GCS-P score in the ED and the best day 1 GCS-P score were the outcome variables. For nonnormally distributed quantitative parameters, medians and interquartile range were compared between study groups using Mann−Whitney U-test. P <0.05 was considered statistically significant. Results: A total of 216 patients were included in the final analysis. There was no statistically significant difference between BAC in GCS-P score at different follow-up periods, GCS-P score (ED), and GCS-P score (best day 1). Conclusion: This prospective observational study showed a low GCS-P score for alcohol-intoxicated patients compared to nonintoxicated patients, which was not statistically significant. There was no significant difference in emergency GCS-P score and best day 1 score between alcohol-intoxicated and nonintoxicated patients.
Introduction: The shock index (SI), modified shock index (MSI), and age multiplied by SI (ASI) are used to assess the severity of shock. They are also used to predict the mortality of trauma patients, but their validity for sepsis patients is controversial. The aim of this study is to assess the predictive value of the SI, MSI, and ASI in predicting the need for mechanical ventilation after 24 h of admission among sepsis patients. Methods: A prospective observational study was conducted in a tertiary care teaching hospital. Patients with sepsis (235) diagnosed based on systemic inflammatory response syndrome criteria and quick sequential organ failure assessment were included in the study. The need for mechanical ventilation after 24 h is the outcome variables MSI, SI, and ASI were considered as predictor variables. The utility of MSI, SI, and ASI in predicting mechanical ventilation was assessed by receiver operative curve analysis. Data were analyzed using coGuide. Results: Among the study population, the mean age was 56.12 ± 17.28 years. MSI value at the time of disposition from the emergency room had good predictive validity in predicting mechanical ventilation after 24 h, as indicated by the area under the curve (AUC) of 0.81 ( P < 0.001), SI and ASI had fair predictive validity for mechanical ventilation as indicated by AUC (0.78, P < 0.001) and (0.802, P < 0.001), respectively. Conclusion: SI had better sensitivity (78.57%) and specificity (77.07%) compared to ASI and MSI in predicting the need for mechanical ventilation after 24 h in sepsis patients admitted to intensive care units.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.