Use of Ceftriaxone as a Predictor of Good Outcome in Stroke Patients: A Retrospective Chart Review

Author:

Dev Priya1ORCID,Singh Varun Kumar1,Kumar Anand1,Chaurasia Rameshwar Nath1ORCID,Singh Neelima Alka2,Gautam Priyanka1,Dhimani Neetu Rani1,Mishra Vijaya Nath1,Joshi Deepika1ORCID,Pathak Abhishek1

Affiliation:

1. Department of Neurology, Institute of Medical Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

2. College of Nursing, Sir Sunderlal Hospital, Banaras Hindu University, Varanasi, Uttar Pradesh, India

Abstract

Background: Whether ceftriaxone (CEFT) has any added advantage other than its antibiotics effect in stroke as a neuroprotective agent is not known, and this forms the base of this study. Purpose: We tried to assess the predictive role of the use of CEFT with respect to outcome in stroke patients. Methods: A retrospective chart review was conducted from a stroke registry over consecutive stroke patients admitted at a tertiary teaching institute from January 2017 to December 2018. Patients were categorized into three groups on the basis of antibiotics they received; patients without antibiotic treatment (NAB), piperacillin plus tazobactam treatment, and the CEFT treatment group. The outcome was assessed by the modified Rankin Scale at three months in good (0–3) and poor outcomes (4–6). Results: A total of 390 stroke patients were analyzed with ages ranging between 20 and 95 years and 151 of them were females. It was found that the severity at three months was significantly lower in those patients who were given CEFT antibiotic ( P = 0.04; OR = 0.626; 95% CI [0.396, 0.990]). Conclusion: Stroke patients in CEFT-treated group have a better outcome compared to piperacillin–tazobactam therapy or without antibiotics use at three months. This study indicates the possibility of an additional neuroprotective effect of CEFT apart from its antibacterial property.

Publisher

SAGE Publications

Subject

General Neuroscience

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of Wide Modified Rankin Score Dataset using Markov Chain Monte Carlo Simulation;International Journal of Statistics in Medical Research;2024-01-18

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