Healthcare-associated Infection in Intensive Care Units: Overall Analysis of Patient Criticality by Acute Physiology and Chronic Health Evaluation IV Scoring and Pathogenic Characteristics

Validation of a rapid molecular detection test for gram-negative multidrug-resistant bacteria in rectal swabs upon admission of patients to the intensive care unit

In ICU settings, screening patients upon admission for potential multiresistant bacteria (BMR) carriers is crucial. Traditionally, clinical decisions relied on delayed culture results, but a rapid PCR molecular test called RealCycler-Rezero-U/G (Progenie-molecular©), emerged as an alternative. This study aimed to validate its effectiveness in detecting gram-negative BMR in rectal swabs at ICU admission. Over 24 months, an observational study was conducted on 1,234 admitted patients, with 217 meeting isolation criteria and undergoing both PCR and culture tests. Results showed a 17.5 % positive rate for screening. The PCR test exhibited impressive accuracy at 98.6 % and a strong negative predictive value of 99.4 %. The area under the ROC curve (AUC) was 0.98, indicating high reliability. Notably, PCR results were available 44.5 h earlier than culture. In conclusion, PCR-based molecular testing for gram-negative BMR offers excellent diagnostic performance and a valuable negative predictive value, making it a suitable screening tool for ICU admissions.

Promoting Patient Safety: Exploring Device-Associated Healthcare Infections and Antimicrobial Susceptibility Pattern in a Multidisciplinary Intensive Care Units

INTRODUCTION

Device-associated healthcare infections are among the prevailing threats to patient safety worldwide. They constitute the third most common adverse event during healthcare delivery, resulting in heightened morbidity, mortality, and healthcare costs. Patients in intensive care units (ICUs) are at increased risk for device-associated healthcare infections. Focused active surveillance is a crucial measure for assessing the prevalence of healthcare-associated infections and controlling the transmission of pathogens, ultimately contributing to the establishment of quality outcome indicators. This study aimed to investigate and establish the baseline rates of healthcare-associated infections associated with medical devices in adult multidisciplinary ICUs within a tertiary care institute.

MATERIAL AND METHODS

 This hospital-based prospective observational study was conducted in two adult ICUs of a tertiary care institute in Central India over nine months. Targeted active surveillance for three device-associated health care infections namely central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), and ventilator-associated event (VAE) was conducted as per the Center for Disease Control (CDC)/National Healthcare Safety Network (NHSN) 2016 surveillance definitions and criteria. Pathogens associated with device-associated healthcare infections were identified and their antimicrobial susceptibility profile was studied.

RESULTS

 During the study period, a total of 5,773 patient days were investigated. Of 1,270 patients, 28 episodes of device-associated healthcare infections were detected in 26 patients, this suggests a collective occurrence of five device-associated healthcare infections for every 1,000 patient days in the ICUs. The device utilization ratios of the central line, mechanical ventilator, and urinary catheters were 0.33, 0.27, and 0.68, respectively. VAE, CLABSI, and CAUTI rates were 8.92, 5.68, and 0.76 per 1,000 device days, respectively. The most common pathogen isolated from device-associated healthcare infections was Klebsiella pneumoniae (39%) followed by Acinetobacter baumanii (22%). The majority (82.3%) of pathogens were multidrug resistant. The death rate among device-associated healthcare infections was 69.2% with a crude excess mortality rate of 37.7%.

CONCLUSION

The study sheds light on the proportion, types of device-associated healthcare infections, and underlying etiological agents associated with these infections in our institute's ICUs, thereby facilitating a better understanding of the healthcare-associated infection landscape within our facility. Moreover, the susceptibility pattern of pathogens associated with these infections offers crucial information for guiding the selection of appropriate antimicrobial therapies and infection control measures.

Medication error and associated factors among adults admitted to emergency ward at the university of Gondar comprehensive specialized hospital, North-West Ethiopia: a cross-sectional study, 2022

BACKGROUND

Medication errors are the most common cause of preventable adverse drug events at the emergency ward.

OBJECTIVES

This study assessed medication errors and associated factors among adult patients admitted to the emergency ward at the University of Gondar Comprehensive Specialized Hospital, North-West Ethiopia.

METHODS

A cross-sectional study was conducted from June 1, 2022, to August 30, 2022. Data were entered into EpiData Manager 4.6.0.0 for clearing and exported to SPSS version 24 for analysis. Descriptive statistics such as frequencies, medians with an interquartile range and inferential statistics like binary logistic regression were used for data analysis. The level of significance was declared at a p value less than 0.05 with a 95% confidence interval.

RESULTS

From 422 study participants, medication errors were found in three-fourths (74.4%) of study participants. The most frequent type of medication error was omitted dose (26.27%). From a total of 491 medication errors, 97.75% were not prevented before reaching patients. More than one-third (38.9%) of medication errors had potentially moderate harmful outcomes. More than half (55.15%) of possible causes of medication errors committed by staff are due to behavioral factors. Physicians accepted 99.16% and nurses accepted 98.71% of clinical pharmacist intervention. Hospital stay ≥ 6 days (AOR: 3.00 95% CI 1.65-5.45, p < 0.001), polypharmacy (AOR: 5.47, 95% CI 2.77-10.81 p < 0.001), and Charlson comorbidity index ≥ 3 (AOR: 1.94, 95% CI (1.02-3.68), p < 0.04) significantly associated with medication error.

CONCLUSIONS

About three-fourths of adult patients admitted to the emergency ward experienced medication errors. A considerable amount of medication errors were potentially moderately harmful. Most medication errors were due to behavioral factors. Most clinical pharmacists' interventions were accepted by physicians and nurses. Patients who stayed longer at the emergency ward, had a Charlson comorbidity index value of ≥ 3, and were on polypharmacy were at high risk of medication error. The hospital should strive to reduce medication errors at the emergency ward.

Adverse Drug Reactions Relevant to Drug Resistance and Ineffectiveness Associated with Meropenem, Linezolid, and Colistin: An Analysis Based on Spontaneous Reports from the European Pharmacovigilance Database

Antimicrobial resistance is considered one of the major threats to public health and is an important factor that influences the patient's outcome in the intensive care unit. Pharmacovigilance can help raise awareness of potential drug resistance (DR) or ineffectiveness (DI) through adverse drug reaction reports that are submitted to different spontaneous reporting systems. Based on spontaneous Individual Case Safety Reports from EudraVigilance, we conducted a descriptive analysis of adverse drug reactions associated with meropenem, colistin, and linezolid, with a focus on DR and DI. Of the total adverse drug reactions (ADRs) reported for each analyzed antibiotic by 31 December 2022, between 2.38-8.42% and 4.15-10.14% of the reports were related to DR and DI, respectively. A disproportionality analysis was conducted to evaluate the frequency of reporting adverse drug reactions relevant to the DR and DI of the analyzed antibiotics compared to other antimicrobials. Based on the analysis of the collected data, this study underlines the importance of post-marketing drug safety monitoring in raising a warning signal regarding antimicrobial resistance, thereby potentially contributing to the reduction in antibiotic treatment failure in an intensive care setting.