THE IMPACT OF ANTIMICROBIAL STEWARDSHIP ON THE PATTERNS OF ANTIBIOTICS’ PRESCRIPTION AND CLINICAL OUTCOMES IN THE MEDICAL WARD OF A MALAYSIAN TERTIARY CARE HOSPITAL

Author(s):  
OVAIS ULLAH SHIRAZI ◽  
NORNY SYAFINAZ AB RAHMAN ◽  
CHE SURAYA ZIN ◽  
HANNAH MD MAHIR ◽  
SYAMHANIN ADNAN

Objective: To evaluate the impact of antimicrobial stewardship (AMS) on antibiotic prescribing patterns and certain clinical outcomes, the length of stay (LOS) and the re-admission rate (RR) of the patients treated within the medical ward of a tertiary care hospital in Malaysia. Methods: This quasi-experimental study was conducted retrospectively. The prescriptions of the AMS included alert antibiotics (AA) such as cefepime, ceftazidime, colistin (polymyxin E), imipenem-cilastatin, meropenem, piperacillin-tazobactam and vancomycin were reviewed for the period of 24 mo before (May, 2012–April, 2014) and after (May, 2014–April, 2016) the AMS implementation for the patients who were treated within the medical ward of a Malaysian tertiary care hospital. Patterns of antibiotics prescribed were determined descriptively. The impact of the AMS on the length of stay (LOS) and readmission rate (RR) was determined by the interrupted time series (ITS) comparative analysis of the pre-and post-AMS segments segregated by the point of onset (May, 2014) of the AMS program. Data analysis was performed through autoregressive integrated moving average (ARIMA) Winter Additive model and the Games-Howell non-parametric post hoc test by using IBM Statistical Package for Social Sciences version 25.0 for Windows (SPSS Inc., Chicago, IL, USA). Results: A total of 1716 prescriptions of the AA included for the AMS program showed that cefepime (623, 36.3%) and piperacillin-tazobactam (424, 24.7%) were the most prescribed antibiotics from May 2012 to April 2016. A 23.6% drop in the number of the AA prescriptions was observed during the 24-month post-AMS period. The LOS of the patients using any of the AA showed a post-AMS decline by 3.5 d. The patients’ LOS showed an average reduction of 0.12 (95% CI, 0.05–0.19, P=0.001) with the level and slope change of 0.18 (95% CI, 0.04–0.32, P=0.02) and 0.074 (95% CI, 0.02–0.12, P=0.002), respectively. Similarly, the percent RR reduced from 20.0 to 9.85 during the 24-month post-AMS period. The observed post-AMS mean monthly reduction of the RR for the patients using any AA was 0.38 (95% CI, 0.23–0.53, P<0.001) with the level and slope change of 0.33 (95% CI, 0.14–0.51, P=0.02) and 0.37 (95% CI, 0.16–0.58, P=0.001), respectively. Conclusion: The AMS program of a Malaysian tertiary care hospital was a coordinated set of interventions implemented by the AMS team of the hospital that comprised of the infectious diseases (ID) physician, clinical pharmacists and microbiologist. The successful implementation of the AMS program from May, 2014 to April, 2016 within the medical ward resulted in the drop of the number of AA prescriptions that sequentially resulted in the significant (P<0.05) post-AMS reduction of the LOS and the RR.

Author(s):  
Yan-Jun Zheng ◽  
Ting Xie ◽  
Lin Wu ◽  
Xiao-Ying Liu ◽  
Ling Zhu ◽  
...  

Abstract Background The incidence of Candida bloodstream infections (BSIs), has increased over time. In this study, we aimed to describe the current epidemiology of Candida BSI in a large tertiary care hospital in Shanghai and to determine the risk factors of 28-day mortality and the impact of antifungal therapy on clinical outcomes. Methods All consecutive adult inpatients with Candida BSI at Ruijin Hospital between January 1, 2008, and December 31, 2018, were enrolled. Underlying diseases, clinical severity, species distribution, antifungal therapy, and their impact on the outcomes were analyzed. Results Among the 370 inpatients with 393 consecutive episodes of Candida BSI, the incidence of nosocomial Candida BSI was 0.39 episodes/1000 hospitalized patients. Of the 393 cases, 299 (76.1%) were treated with antifungal therapy (247 and 52 were treated with early appropriate and targeted antifungal therapy, respectively). The overall 28-day mortality rate was 28.5%, which was significantly lower in those who received early appropriate (25.5%) or targeted (23.1%) antifungal therapy than in those who did not (39.4%; P = 0.012 and P = 0.046, respectively). In multivariate Cox regression analysis, age, chronic renal failure, mechanical ventilation, and severe neutropenia were found to be independent risk factors of the 28-day mortality rate. Patients who received antifungal therapy had a lower mortality risk than did those who did not. Conclusions The incidence of Candida BSI has increased steadily in the past 11 years at our tertiary care hospital in Shanghai. Antifungal therapy influenced short-term survival, but no significant difference in mortality was observed between patients who received early appropriate and targeted antifungal therapy.


Author(s):  
Suchita Sachin Palve ◽  
Pallavi Sachin Chaudhari

Background: The COVID-19 pandemic has put global health at stake by creating havoc all over the world, due to which the world, as well as health agencies, are experiencing the greatest challenges. This disease is a health emergency due to its high level of infectiousness and the non-availability of any specific treatment [1]. Objectives: To determine and compare the significance of physiological and haematological parameters in the diagnosis of COVID 19 infection and compare the association of physiological and haematological parameters among mild and severe COVID-19 patients. Methodology: The present comparative, observational study was carried out in a designated tertiary care hospital, where admission of COVID19 patients in Pune district, India. Various parameters like age, height, weight, BMI, various physiological variables, haematological parameters, and CRP levels were assessed among 202 Mild and 50 severe COVID 19 diagnosed patients on day one of the hospital's stays. Results: Pearson’s correlation coefficient showed a significant correlation among physiological and haematological variables compared to both groups, especially physiological parameters like SBP and DBP. The results showed that TLC, CRP, NLR, PLR, among COVID 19 patients cans work as important biomarkers to understand the disease prognosis. Conclusion: Study of physiological and haematological parameters and their interrelation will help in understanding the impact of COVID 19 infection on the reactive inflammatory responses and help in understanding the prognosis of the disease among mild and severe patients.


Author(s):  
Ayan Roy ◽  
Nayan Kumar Patel

Background: Cardiovascular morbidity plays a villainous role globally as well as countries like India. Additionally, irrational prescription incurs greater damage to health and wellbeing. Drug utilization studies scrutinize the appropriateness of treatment and provide favorable feedbacks to strengthen clinical practices. The objective of the study was to describe treatment practices in cardiology outpatient and drug utilization pattern using core prescribing indicators by World Health Organization (WHO).Methods: A cross-sectional, observational study of 4-month duration was undertaken for cardiology Outdoor patients at a tertiary care hospital. 615 prescriptions were screened and analyzed.Results: Males (59.84%) were more in number than females (40.16%). Average number of the prescribed drugs per patient were 4.32±2.7 and (3.73±1.1 for cardiovascular drugs). Generic prescription was 60.98%. Percentage encounters with antibiotics 4.11, injectables 2.92%, fixed-dose combinations (FDCs) (11.8%) were documented. Drugs from the National List of Essential Medicines were 75.89%. The most common diagnosis was ischemic heart disease (68.29%). Hypolipidemics (78.25%) followed by antiplatelets (71.14%) were toppers in cardiovascular drug. Antiulcer drugs (PPI/Antacids) comprised 58.54% of total prescriptions.Conclusions: Less adherence to EDL, less generic prescriptions, use of FDC are major shortcomings. Areas to further rationalization like optimal use of evidence based medication like beta-blockers, newer anticoagulants/anti-platelet agents and newer anti-anginal agents are identified.


2016 ◽  
Vol 15 (10) ◽  
pp. 92-95
Author(s):  
Surender Kagitapu ◽  
Alekhya Nune ◽  
Hemanth Devulapally ◽  
Nagesh Adla

1998 ◽  
Vol 19 (4) ◽  
pp. 248-253 ◽  
Author(s):  
Mary V. Singer ◽  
Rachel Haft ◽  
Tamar Barlam ◽  
Mark Aronson ◽  
Amy Shafer ◽  
...  

ABSTRACTOBJECTIVE: Evaluate vancomycin prescribing patterns in a tertiary-care hospital before and after interventions to decrease vancomycin utilization.DESIGN: Before/after analysis of interventions to limit vancomycin use.SETTING: 420-bed academic tertiary-care center.INTERVENTIONS: Educational efforts began August 10, 1994, and involved lectures to medical house staff followed by mailings to all physicians and posting of guidelines for vancomycin use on hospital information systems. Active interventions began November 15, 1994, and included automatic stop orders for vancomycin at 72 hours, alerts attached to the medical record, and, for 2 weeks only, computer alerts to physicians following each vancomycin order. Parenteral vancomycin use was estimated from the hospital pharmacy database of all medication orders. Records of a random sample of 344 patients receiving van-comycin between May 1, 1994, and April 30, 1995, were reviewed for an indication meeting published guidelines.RESULTS: Vancomycin prescribing decreased by 22% following interventions, from 8.5 to 6.8 courses per 100 discharges (P<.05). The estimated proportion of van-comycin ordered for an indication meeting published guidelines was 36.6% overall, with no significant change following interventions. However, during the 2 weeks that computer alerts were in place, 60% of vancomycin use was for an approved indication.CONCLUSIONS: Parenteral vancomycin prescribing decreased significantly following interventions, but the majority of orders still were not for an indication meeting published guidelines. Further improvement in the appropriateness of vancomycin prescribing potentially could be accomplished by more aggressive interventions, such as computer alerts, or by targeting specific aspects of prescribing patterns.


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