Non-invasive methods such as PCR tests can be used to improve the chances of detecting and identifying the aetiological agent in a timely manner. Delays in the diagnosis of these infections may result in high mortality and morbidity. No significant difference was noted between combined surgical and medical therapy over exclusively combined medical therapy.

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A bstract Introduction Implementation of evidence-based infection control practices is the need of the hour for every institute to reduce the device-associated infections, which directly reflects the quality of care. As catheter-associated urinary tract infection (CAUTI) is the most common nosocomial infection, the study was planned to evaluate the impact of the catheter care bundle in reducing CAUTI incidence. Material and methods The prospective interventional study before and after the trial study was carried out in adult intensive care units over a period of 9 months (April–June 2017—pre-implementation phase; July–September 2017—training of healthcare worker and implementation of catheter care bundle; October–December 2017—post-implementation phase). Catheter-associated urinary tract infection rates pre- and post-implementation were expressed as incidence rates with Poisson confidence interval. Results Statistically significant reduction was found in the incidence of CAUTI (60%—from 10.7 to 4.5 per 1,000 catheter days). The key factors that contributed were significant reduction in device utilization ratio (from 0.71 to 0.56) and average catheter days per patient (from 4.8 to 3.7). This holistic approach has resulted in less incidence of CAUTI even among patients with risk factors and prolonged catheter days. Neuro ICU showed drastic improvement compared to other ICUs due to the poor baseline status of their care practices. Conclusion Adherence to all elements of care bundle brought a significant decrease in CAUTI. Implementing care bundle and auditing the adherence to each element should be included as a part of routine hospital infection control committee (HICC) practices. Clinical significance Hospital-acquired infection directly reflects on the quality care of the hospital. Bundle care is an “all or none” phenomenon. Adherence to each element will have some influence in reducing CAUTI in terms of reducing the device utilization ratio and average catheter days per patient. Auditing the care bundle adherence is having a positive influence on the outcome. How to cite this article Soundaram GVG, Sundaramurthy R, Jeyashree K, Ganesan V, Arunagiri R, Charles J. Impact of Care Bundle Implementation on Incidence of Catheter-associated Urinary Tract Infection: A Comparative Study in the Intensive Care Units of a Tertiary Care Teaching Hospital in South India. Indian J Crit Care Med 2020;24(7):544–550.

Background and objective The prevalence of hospital-acquired infections (HAIs) is underreported in developing nations due to a lack of systematic active surveillance. This study reports the burden of device-associated HAIs (DA-HAIs) based on two years of active surveillance with in situ bundle care in closed intensive care units (ICUs) of a tertiary care hospital. Materials and methods A prospective surveillance study was carried out in 140-bedded ICUs (2,100-bed hospital) of a tertiary care private medical college hospital. Daily active surveillance for catheter-associated urinary tract infection (CAUTI), ventilator-associated event (VAE), and central line-associated bloodstream infection (CLABSI) was done by trained infection control nurses (ICNs) along with quality champion nurses with HAI surveillance forms with bundle care auditing, which was attached to the case sheets of all patients on devices. The surveillance definitions of DA-HAIs were adapted from the Centers for Disease Control and Prevention (CDC)’s National Healthcare Safety Network (CDC-NHSN) 2017 surveillance criteria. Data were analyzed at the end of every month to generate the cumulative device-associated infection (DAI) rates and device utilization ratio (DUR). These data were compared with NHSN and International Nosocomial Infection Control Consortium (INICC) - India HAI rates and communicated to corresponding ICUs and also presented at the hospital infection control committee (HICC) meeting. Results The surveillance data were reported over 71,877 patient days during the study period. The DUR of urinary catheters, ventilator, and central line were 0.53, 0.16, and 0.22, respectively. CAUTI, VAE, and CLABSI rates were 0.97, 10.5, and 0.43 per 1,000 device days, respectively. Among 166 DA-HAIs reported, 182 pathogens were identified. Klebsiella pneumoniae was the most common organism isolated, accounting for 37.4% of all DA-HAI cases, followed by Acinetobacter baumanii ( 30.8%). Most of the Gram-negative organisms were carbapenem-resistant (153/175; 87.4%). Vancomycin resistance rate in Enterococcus was 28.5% (2/7). Conclusion DUR and CAUTI, VAE, CLABSI rates were less/on par with the benchmarks of INICC and CDC-NHSN in almost all ICUs of our tertiary care unit. Gram-negative pathogen with 87.4% carbapenem resistance worsened the scenario. Proper active surveillance with bundle care and training by ICNs made a significant difference in all DA-HAI rates, especially VAE, which decreased to 10.5 from 23.6 per 1,000 ventilator days. Sustained active surveillance of HAI and bundle care auditing by a trained infection prevention team with a stringent antibiotic policy are the need of the hour to combat DAIs.

Background: In coronavirus disease 2019 (COVID-19) patients, risk stratification based on clinical presentation, co-morbid illness, and combined laboratory parameters is essential to provide an adequate, timely intervention based on an individual’s conditions to prevent mortality among cases. Methods: A retrospective observational study was carried out from June to October 2020, including all reverse transcription-polymerase chain reaction (RT-PCR) positive COVID-19 non-survivors and control group survivors randomly selected after age and sex matching. Clinical and demographic information was collected from the medical records. Categorical variables were expressed by frequency and percentage. To explore the risk factors associated with mortality, univariable and multivariable logistic regression models were used. Results and discussions: All non-survivors (n = 100) and 100 survivors (out of 1,018) were analyzed. Male gender (67.4%) was the independent risk factor for COVID-19 infection. Advanced age group, diabetes, cardiovascular, neurological, and hypertensive co-morbidities were statistically associated with mortality. Cardiac arrest and acute kidney injury (AKI) were the most common complications. Mortality is significantly associated with lymphopenia and raised lactate dehydrogenase (LDH), as shown by higher odds. In addition, raised neutrophils, monocytes, aspartate aminotransferase (AST), serum creatinine, interleukin 6 (IL-6), and C-reactive protein (CRP) are also significantly associated with mortality. The most common causes of death were respiratory failure (84%) and acute respiratory distress syndrome (77%). Of the non-survivors, 92% received corticosteroids, 63% were on high-flow nasal cannula oxygen therapy, 29% were mechanically ventilated, and 29% received tocilizumab. Conclusion: Serial monitoring of neutrophils, lymphocytes, D-dimer, procalcitonin, AST, LDH, CRP, IL-6, serum creatinine, and albumin might provide a reliable and convenient method for classifying and predicting the severity and outcomes of patients with COVID-19.