Drug utilization pattern in critical care unit in a tertiary care teaching hospital in India

Surveillance of health-care associated infections in an intensive care unit at a tertiary care hospital in Central India

Introduction

Because the risk of health-care associated infections (HAIs) is high in intensive care units, and HAIs are one of the causes of morbidity and mortality and affects the overall quality of health care, the continuous monitoring of HAIs in intensive care patients is essential.

Aim and objectives

This descriptive cross-sectional study was carried out over a period of five years in a tertiary-care teaching hospital. The aim of the study was to investigate the main and specific types of health-care associated Infections and determine the microbiological profile and antimicrobial susceptibility rates of isolates in patients with HAI.

Methods

: The active surveillance method was used to detect HAIs in patients who spent over 48 hr in a targeted ICU. Patients with blood stream infections (BSI), central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infections (CAUTI) and ventilator-associated events (VAE) were included in the study. HAI were diagnosed based on the Centre for Disease Control (CDC)'s National Healthcare Safety Network (NHSN) updated definitions of HAIs.

Results

A total of 121,051 patient days, including 7,989 central line days, 64,557 urinary catheter days, and 18,443 ventilator days, were recorded in the study population and 832 HAIs were diagnosed (incidence rate 6.9%). The overall rates of BSI, CLABSI, CAUTI and possible ventilator-associated pneumonia (p-VAP) were 3.7, 10.6, 2.1 and 13.4/1,000 device days, respectively. The most common organism isolated from BSI was Acinetobacter baumanii (n=322, 29%), followed by Klebsiella pneumoniae 225 (n=225, 20.3%). 79.8% of Acinetobacter baumanii strains were resistant to imipenem, 77.1% to ciprofloxacin and 76.4% to ampicillin. The most common organisms isolated from CAUTI were non-albicans Candida species (n=38, 18%), followed by E. coli and Citrobacter spp. (each n=33, each 15.7%).

Conclusions

A trend of increasing resistance of Acinetobacter baumannii to carbapenems was observed. Risk factor analysis showed invasive procedures during sepsis and organophosphorous poisoning as significant factors.

Prevalence of Drug-Drug Interactions in Primary Care Prescriptions in Egypt: A Cross-Sectional Retrospective Study

In clinical practice, drug-drug interactions (DDIs) pose significant risks to a large number of patients. Consequently, healthcare providers are required to diligently identify, monitor, and effectively handle these interactions in order to enhance patient outcomes. In Egypt, DDIs are poorly addressed, with no reports for DDIs in primary care. In our cross-sectional, retrospective, observational study, we collected a total of five thousand, eight hundred and twenty prescriptions across eight major governorates in Egypt. Prescriptions were collected over a span of 15 months between 1 June 2021 and 30 September 2022. These prescriptions were analyzed for potential DDIs using the Lexicomp^® drug interactions tool. The prevalence of DDIs was found to be 18%, with 22% of the prescriptions having two or more potential DDIs. Moreover, we found 1447 DDIs of categories C (monitoring therapy recommended), D (therapy modification suggested), and X (avoid combination). The most commonly interacting drugs in our study were diclofenac, aspirin, and clopidogrel, while non-steroidal anti-inflammatory drugs (NSAIDs) were the most reported therapeutic class implicated in pharmacologic DDIs. Pharmacodynamic agonistic activity was the most common mechanism of interaction. Therefore, it is crucial to conduct screenings, detect early signs, and closely monitor drug-drug interactions (DDIs) to enhance patients' overall health outcomes, medication responses, and safety. In this regard, the clinical pharmacist assumes a vital role in implementing these preventive measures.

Drug Utilization and Potential Drug-Drug Interactions within an Intensive Care Unit at a University Tertiary Care Hospital in Egypt

There are few reports on drug utilization and drug-drug interactions in Intensive Care Units (ICUs) in Egypt. A total of 94 patients participated in this retrospective observational study. Patient's medical records were used to collect demographics, medical history, admission and discharge dates and medications used. The mean ± SD of the Glasgow Coma Scale (GCS) scores was 9.9 ± 4.4 and the median length of stay was 7 days (range 1-47 days). The total number of prescribed medications ranged from 4-29 with a mean ± SD of 14.1 ± 5.5 medications per patient. The top three most prescribed categories belonged to (1) anti-infective agents (23.9%); (2) electrolyte, caloric and water balance agents (14.6%); and (3) blood formation, coagulation and thrombosis (11.3%). The proton pump inhibitor, esomeprazole, was the most frequently prescribed medication accounting for 6.5% of total prescriptions, followed by clindamycin and magnesium sulfate each accounting for 3.5% of total prescriptions. The potential Drug-Drug Interactions (pDDIs) showed a total of 968 pDDIs with a mean ± SD (range) of 10.2 ± 9.4 (0-43) pDDIs per patient: severe (contraindicated) (3), major (178), moderate (618) and minor (169). Overall, the drug utilization patterns in this study were consistent with ICU drug utilization from other countries in the region. The implementation of clinical decision support systems and the involvement of clinical pharmacists may help improve medication safety.

Hypothesis: How far are we from predicting multi-drug interactions during treatment for COVID-19 infection?

Seriously ill patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and hospitalized in intensive care units (ICUs) are commonly given a combination of drugs, a process known as multi-drug treatment. After extracting data on drug-drug interactions with clinical relevance from available online platforms, we hypothesize that an overall interaction map can be generated for all drugs administered. Furthermore, by combining this approach with simulations of cellular biochemical pathways, we may be able to explain the general clinical outcome. Finally, we postulate that by applying this strategy retrospectively to a cohort of patients hospitalized in ICU, a prediction of the timing of developing acute kidney injury (AKI) could be made. Whether or not this approach can be extended to other diseases is uncertain. Still, we believe it represents a valuable pharmacological insight to help improve clinical outcomes for severely ill patients.

Practices in sedation, analgesia, mobilization, delirium, and sleep deprivation in adult intensive care units (SAMDS-ICU): an international survey before and during the COVID-19 pandemic

Background

Since the publication of the 2018 Clinical Guidelines about sedation, analgesia, delirium, mobilization, and sleep deprivation in critically ill patients, no evaluation and adequacy assessment of these recommendations were studied in an international context. This survey aimed to investigate these current practices and if the COVID-19 pandemic has changed them.

Methods

This study was an open multinational electronic survey directed to physicians working in adult intensive care units (ICUs), which was performed in two steps: before and during the COVID-19 pandemic.

Results

We analyzed 1768 questionnaires and 1539 (87%) were complete. Before the COVID-19 pandemic, we received 1476 questionnaires and 292 were submitted later. The following practices were observed before the pandemic: the Visual Analog Scale (VAS) (61.5%), the Behavioral Pain Scale (BPS) (48.2%), the Richmond Agitation Sedation Scale (RASS) (76.6%), and the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) (66.6%) were the most frequently tools used to assess pain, sedation level, and delirium, respectively; midazolam and fentanyl were the most frequently used drugs for inducing sedation and analgesia (84.8% and 78.3%, respectively), whereas haloperidol (68.8%) and atypical antipsychotics (69.4%) were the most prescribed drugs for delirium treatment; some physicians regularly prescribed drugs to induce sleep (19.1%) or ordered mechanical restraints as part of their routine (6.2%) for patients on mechanical ventilation; non-pharmacological strategies were frequently applied for pain, delirium, and sleep deprivation management. During the COVID-19 pandemic, the intensive care specialty was independently associated with best practices. Moreover, the mechanical ventilation rate was higher, patients received sedation more often (94% versus 86.1%, p < 0.001) and sedation goals were discussed more frequently in daily rounds. Morphine was the main drug used for analgesia (77.2%), and some sedative drugs, such as midazolam, propofol, ketamine and quetiapine, were used more frequently.

Conclusions

Most sedation, analgesia and delirium practices were comparable before and during the COVID-19 pandemic. During the pandemic, the intensive care specialty was a variable that was independently associated with the best practices. Although many findings are in accordance with evidence-based recommendations, some practices still need improvement.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13613-022-00985-y.

Irrational drug use and its associated factors at Debre Markos Referral Hospital's outpatient pharmacy in East Gojjam, Northwest Ethiopia

Objectives:

Half of all drugs are used irrationally around the world, and about half of patients take their medications correctly. Inappropriate use of drugs leads to antibiotic resistance, medication therapy problems, and an increase in drug costs. This study aimed to assess irrational drug use and its associated factors at the outpatient pharmacy of Debre Markos Referral Hospital.

Methods:

A hospital-based cross-sectional study was used. Systematic random sampling was used as a sampling technique. The data were collected with a structured checklist. The data were entered into EPI Data Version 3.1 and analyzed using SPSS version 20. Descriptive statistics and logistic regression analysis were used for data analysis.

Results:

The average number of drugs per patient encounter was 2.14. The prevalence of antibiotics use per encounter was 39.3%. Polypharmacy was detected in 62.2% of prescriptions, and injections were prescribed in 13% of prescriptions. The percentage of drugs prescribed with a generic name was 95.5%. In multivariable logistic regression, comorbidities, professionals’ training, and prescribers’ experience were significantly associated with polypharmacy. Patient age, comorbidity, presence of chronic disease, professionals training, and type of diseases were significantly associated with antibiotic prescribing.

Conclusion:

Our findings revealed there were practices of polypharmacy and antibiotics overuse. Continuous seminars and training on rational prescribing and periodic prescription surveys are recommended to prevent irrational drug use.

A prospective study to evaluate antimicrobial prescribing pattern among admitted patients in hilly Himalayan region of northern India

Background and Aim

Global scenario of antimicrobial (AM) utilization depicts 20-50% inappropriateness. Majority of the hospital admissions are due to unwanted effects because of non-judicial usage of these drugs. The present study focuses on utilization pattern of antimicrobials (AMs) in a tertiary care hospital in northern India.

Materials and Methods

A prospective observational study was conducted over a period of one year in seven departments of a tertiary care hospital in hilly Himalayan region. Aim of the study was to analyze the AM utilization pattern using World Health Organization (WHO) indicators and instruments.

Results

A total 700 prescriptions were analyzed in the present study. Injectable antibiotics (71%) followed by oral (29%) were most commonly prescribed. Beta lactams (79%) were the most frequently used antibiotic class. Most commonly prescribed AM was Ceftriaxone (30%). Majority of the time AMs were given empirically (44.8%), where most common indication was respiratory infections (42%). Culture and sensitivity tests were done for guiding curative therapy in 34.71% cases. The average duration of patient hospital stay was 8.81 days in the study population. The mean duration of prescribed antimicrobial treatment was 5.12 days. On an average 1.93 AMs were prescribed per patient. AMs were prescribed by International nonproprietary name (INN) in 62.19% of the admissions. The most common AM related adverse drug reaction was gastritis (96%) and skin rash (4%) with Amoxicillin + clavulanic acid being the most common causative agent. Total antimicrobial consumption was 148.24 DDD/100 bed days with Medicine department showing the highest consumption (36.25/100 bed days).

Conclusion

The present study is the first and largest antimicrobial utilization study in the hilly Himalayan region of northern India. Our study found an urgent need for improvement of prescribing patterns, patient care indicators and strict adherence to standard guidelines.

Impact of Antibiotic Stewardship Program on Prescribing Pattern of Antimicrobials in Patients of Medical Intensive Care Unit

INTRODUCTION

Rising concerns about antimicrobial resistance and inadequate development of effective new anti-infective drugs have stimulated universal efforts to strengthen infection-control interventions. Antimicrobial stewardship is a rational, systematic approach to promote the optimal selection, dosing, and duration of therapy for antimicrobial agents throughout the course of their use in order to improve the outcomes.

AIM

Since in Shree Krishna Hospital (SKH), Antibiotic Stewardship Program (ASP) was first implemented in 2013, this study was planned to assess any change in antimicrobial use before and after implementation of ASP and to study the rate and pattern of antimicrobial use in medical ICU.

MATERIALS AND METHODS

A cross-sectional study was conducted in 12 bedded medical intensive care unit, over a period of two years from October 2014 to October 2016 at SKH. Permission was taken from Institutional Human Research Ethics Committee. Total 150 case files i.e., 75 from year 2012 and 75 from year 2015 were retrieved from medical record section of the hospital. Appropriateness of prescriptions was decided on the basis of appropriateness of choice, dose, frequency and duration of antimicrobial agents. Data were analysed by using descriptive statistics.

RESULTS

There were 68.67% males and the mean (±SD) age was 57.11 (±16.83) years. Majority of the patients were suffering from respiratory conditions. The most common group of drugs prescribed in MICU was β-lactam antibiotics + β-lactamase inhibitors during 2012 as well as 2015. Total 139 patients i.e., 69 (92%) patients in 2012 and 70 (93.33%) patients in 2015 were given antimicrobial for therapeutic purpose. During the year 2015, 67 (89.33%) antimicrobial prescriptions were adhering to antibiotic policy of SKH. Appropriateness of prescriptions had significantly improved in 2015 in MICU (p-value=0.031).

CONCLUSION

In-depth analysis of the study revealed a positive impact of ASP and antibiotic policy. Implementation of ASP in year 2013, brought an effective increase in the appropriate use of antimicrobials.

Antimicrobial Resistance Surveillance among Intensive Care Units of a Tertiary Care Hospital in Southern India

INTRODUCTION

Hospital Acquired Infections (HAIs) are the rising threat in the health care facilities across the globe. As most Intesive Care Unit (ICU) patients are frequently on broad spectrum antimicrobials, this induces selective antibiotic pressure which leads to development of Antimicrobial Resistance (AMR) among the microorganisms of ICUs.

AIM

To study the occurrence of different types of HAIs in patients admitted to various ICUs of JIPMER and the AMR pattern of the bacterial pathogens isolated from them.

MATERIALS AND METHODS

The record based retrospective data of culture reports of the patients admitted to all the ICUs of JIPMER during the period from April 2015 to March 2016 were collected. A total of 3,090 isolates were obtained from the clinical specimens of 1,244 patients. Data on various factors like demographic characters, type of ICU, infecting organism, site of infection, type of HAI's and AMR including co-resistance were collected and analysed using Microsoft Excel.

RESULTS

Most common culture positive clinical specimen received was tracheal aspirate (29.9%) followed by exudate (22.7%). Acinetobacter spp from tracheal aspirate and Pseudomonas spp from blood specimens were the most common organisms isolated; whereas Escherichia coli was the predominant organism found in urine, exudate and sterile fluid specimens. About 22.2% infections were HAIs, out of which pneumonia (6.24%) was the most common. Analysis of antimicrobial susceptibility pattern revealed that most of Gram-Negative Bacilli (GNB) was Multi Drug Resistant (MDR) i.e., resistant to three or more class of antibiotics such as cephalosporins, carbapenems, aminoglycosides, tetracyclines and fluoroquinolones. The prevalence of Methicillin- resistant Staphylococcus aureus (MRSA) and Vancomycin- resistant Enterococci (VRE) were found to be 40.6% and 11.9% respectively.

CONCLUSION

The increasing trend AMR among the hospital acquired pathogens such as MDR-GNBs, MRSA and VRE pose a great threat to HCWs as well as to the other critically ill patients of the ICUs. Study on AMR surveillance is the need of the hour as it helps the centers to generate local antibiogram which further helps in formulating the national data. It also guides the clinicians to choose appropriate empirical therapy and assist escalation and de-escalation wherever possible. Hence, such studies will be a stepping stone in establishing antimicrobial stewardship and regulate the antimicrobial use.

A Retrospective Analysis of Direct Medical Cost and Cost of Drug Therapy in Hospitalized Patients at Private Hospital in Western India

BACKGROUND

Pharmacoeconomics is analytical tool to know cost of hospitalization and its effect on health care system and society. In India, apart from the government health services, private sector also play big role to provide health care services.

OBJECTIVE

To study the direct medical cost and cost of drug therapy in hospitalized patients at private hospital.

MATERIALS AND METHODS

A retrospective study was conducted at private hospital in a metro city of Western India. Total 400 patients' billing records were selected randomly for a period from 01/01/2013 to 31/12/2014. Data were collected from medical record of hospital with permission of medical director of hospital. Patients' demographic profile age, sex, diagnosis and various costs like ICU charge, ventilator charge, diagnostic charge, etc. were noted in previously formed case record form. Data were analysed by Z, x(2) and unpaired t-test.

RESULT

Patients were divided into less than 45 years and more than 45 year age group. They were divided into medical and surgical patients according to their admission in medical or surgical ward. Mortality, Intensive Care Unit (ICU) admission, patients on ventilator were significantly (p<0.05) higher in medical patients. Direct medical cost, ward bed charge, ICU bed charge, ventilator charge and cost of drug therapy per patient were significantly (p<0.05) higher in medical patients while operation theatre and procedural charge were significantly (p<0.05) higher in surgical patients. Cost of fibrinolytics, anticoagulants, cardiovascular drugs were significantly (p<0.05) higher in medical patients. Cost of antimicrobials, proton pump inhibitors (PPIs), antiemetics, analgesics, were significantly (p<0.05) higher in surgical patients.

CONCLUSION

Ward bed charge, ICU bed charge, ventilator charge accounted more than one third cost of direct medical cost in all the patients. Cost of drug therapy was one fourth of direct medical cost. Antimicrobials cost accounted 33% of cost of drug therapy.