Intensive Care Unit Of Teaching Hospital Research Articles

Comparative Predictive Accuracies of the Simplified Mortality Score for the Intensive Care Unit, Sepsis Severity Score, and Standard Severity Scores for 90-day Mortality in Sepsis Patients.

The standard severity scores were used for predicting hospital mortality of intensive care unit (ICU) patients. Recently, the new predictive score, Simplified Mortality Score for the ICU (SMS-ICU), was developed for predicting 90-day mortality. To validate the ability of the SMS-ICU and compare with sepsis severity score (SSS) and original severity scores for predicting 90-day mortality in sepsis patients. An analysis of retrospective data was conducted in the ICU of a university teaching hospital. Also, 90-day mortality was used for the primary outcome. A total of 1,161 patients with sepsis were included. The 90-day mortality was 42.4%. The SMS-ICU presented the area under the receiver operating characteristic curve (AUROC) of 0.71, whereas the SSS had significantly higher AUROC than that of the SMS-ICU (AUROC 0.876, p < 0.001). The acute physiology and chronic health evaluation (APACHE) II and IV, and the simplified acute physiology scores (SAPS) II demonstrated good discrimination, with an AUROC above 0.90. The SMS-ICU provides poor calibration for 90-day mortality prediction, similar to the SSS and other standard severity scores. Furthermore, 90-day mortality was underestimated by the SMS-ICU, which had a standardized mortality ratio (SMR) of 1.36. The overall performance by Brier score demonstrated that the SMS-ICU was inferior to the SSS (0.222 and 0.169, respectively). Also, SAPS II presented the best overall performance with a Brier score of 0.092. The SMS-ICU indicated lower performance compared to the SSS, standard severity scores. Consequently, modifications are required to enhance the performance of the SMS-ICU. Sathaporn N, Khwannimit B. Comparative Predictive Accuracies of the Simplified Mortality Score for the Intensive Care Unit, Sepsis Severity Score, and Standard Severity Scores for 90-day Mortality in Sepsis Patients. Indian J Crit Care Med 2024;28(4):343-348.

A retrospective analysis of carbapenem-resistant Acinetobacter baumannii infections in critically ill patients: Experience at a tertiary-care teaching hospital ICU

BackgroundAcinetobacter baumannii is a clinically significant pathogen with a high incidence of multidrug resistance that is associated with life-threatening nosocomial infections. Here, we aimed to provide an insight into the clinical characteristics and outcomes of a unique group of A. baumannii infections in which the isolates were resistant to carbapenems and most other antibiotic groups in a tertiary-care intensive care unit (ICU). MethodsWe performed a retrospective observational study in which records of patients hospitalized in the ICU between June 1, 2021 and June 1, 2023 were reviewed. We checked the clinical, laboratory, and microbiological records of all adult patients who had carbapenem-resistant A. baumannii (CRAB) infections. Prior antibiotic treatments and definitive antibiotic treatments after culture positivity and susceptibility test results were recorded. C-reactive protein (CRP) and procalcitonin levels and leukocyte counts were noted. Length of ICU stay and 30-day mortality were defined as the outcome parameters. ResultsDuring the study period, 57 patients were diagnosed with CRAB infections. The respiratory tract was the leading infection site (80.7%). In non-survivors, bloodstream infections (21.9% vs. 4.0% P=0.05) and colistin-resistant (col-R) CRAB infections (43.8% vs. 24.0%, P=0.12) were more common than in survivors, but these parameters were not statistically significant. The length of ICU stay was not different between survivors and non-survivors. Overall, the rate of col-R among CRAB clinical isolates was 35.1%. The 30-day mortality in all patients with CRAB infection was 56.1%. Mortality in col-R CRAB and colistin-susceptible (col-S) CRAB infections was 70.0% and 48.6%, respectively (P=0.12). Prior carbapenem use was 56.1%. Prior colistin use before col-R and col-S CRAB infections was not significant (35.0% vs. 27.0%, P=0.53). ConclusionsOur study provides real-world data on highly resistant A. baumannii infections and shares the characteristics of infections with such resistant strains. Unfortunately, carbapenem resistance in A. baumannii is a challenge for intensive care specialists who are faced with few treatment options, and colistin resistance further complicates the problem.

Performance of handheld ultrasound devices in diagnosis of pulmonary hypertension and right heart dysfunction in ICU patients.

The use of handheld ultrasonography devices (HHUD) has increased recently but there are limited data about their performance in the evaluation of right heart dysfunction (RHD) and pulmonary hypertension (PHT). The aim of the study is to compare the performance of a HHUD with a conventional ultrasound device (CUD) in assessing PHT and RHD. This single-center prospective study was performed in a seven-bed teaching hospital intensive care unit (ICU). PHT and RHD criteria were compared by HHUD and CUD. Additional PHT criteria and right ventricle (RV) systolic and diastolic dysfunction criteria were also measured. Forty-six patients were included in the study. There was no significant difference between the imaging rates and mean values of the parameters measured by both devices. When the positivity rates for additional PHT parameters and RHD criteria were compared, there were no significant differences between the devices. In Bland-Altman's analysis, there was good agreement and there was no bias between the measurements of the two devices but left ventricular end-systolic eccentricity index (LVSEI), right atrium area (RAA), and pulmonary artery diameter (PAD). Ninety percent of the patients had PHT probability, of whom 43% had a low, 37% had intermediate and 10% had a high probability of PHT. Ninety-two percent of the patients had RHD and there was no significant difference between the devices in the diagnosis of RHD (p=.212). When RV systolic and diastolic dysfunction evaluations of the devices were compared according to the British Society of Echocardiography (BSE) criteria there was no significant difference between the devices' measurements in the evaluation of systolic and diastolic function. The imaging and measurement capabilities of the HHUDs for PHT and RHD parameters were similar to CUDs, and considering the inconsistent parameters, the HHUD can be useful in diagnosing these problems.

Health outcome predictive modelling in intensive care units

The literature in Intensive Care Units (ICUs) data analysis focuses on predictions of length-of-stay (LOS) and mortality based on patient acuity scores such as Acute Physiology and Chronic Health Evaluation (APACHE), Sequential Organ Failure Assessment (SOFA), to name a few. Unlike ICUs in other areas around the world, ICUs in Ontario, Canada, collect two primary intensive care scoring scales, a therapeutic acuity score called the “Multiple Organs Dysfunctional Score” (MODS) and a nursing workload score called the “Nine Equivalents Nursing Manpower Use Score” (NEMS). The dataset analyzed in this study contains patients’ NEMS and MODS scores measured upon patient admission into the ICU and other characteristics commonly found in the literature. Data were collected between January 1st, 2015 and May 31st, 2021, at two teaching hospital ICUs in Ontario, Canada. In this work, we developed logistic regression, random forests (RF) and neural networks (NN) models for mortality (discharged or deceased) and LOS (short or long stay) predictions. Considering the effect of mortality outcome on LOS, we also combined mortality and LOS to create a new categorical health outcome called LMClass (short stay & discharged, short stay & deceased, or long stay without specifying mortality outcomes), and then applied multinomial regression, RF and NN for its prediction. Among the models evaluated, logistic regression for mortality prediction results in the highest area under the curve (AUC) of 0.795 and also for LMClass prediction the highest accuracy of 0.630. In contrast, in LOS prediction, RF outperforms the other methods with the highest AUC of 0.689. This study also demonstrates that MODS and NEMS, as well as their components measured upon patient arrival, significantly contribute to health outcome prediction in ICUs.

Circadian rhythm disturbance and delirium in ICU patients: a prospective cohort study

BackgroundPatients treated in the intensive care unit (ICU) may experience a reversal of day and night. The circadian rhythm in ICU patients can be disturbed.MethodsTo explore the relationship between ICU delirium and the circadian rhythms of melatonin, cortisol and sleep. A prospective cohort study was carried out in a surgical ICU of a tertiary teaching hospital. Patients who were conscious during the ICU stay after surgery and were scheduled to stay in the ICU for more than 24 h were enrolled. Serum melatonin and plasma cortisol levels were measured three times a day by drawing arterial blood on the first three days after ICU admission. Daily sleep quality was assessed by the Richard-Campbell Sleep Questionnaire (RCSQ). The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) was performed twice a day to screen for ICU delirium.ResultsA total of 76 patients were included in this study, and 17 patients developed delirium during their ICU stay. Melatonin levels were different at 8:00 (p = 0.048) on day 1, at 3:00 (p = 0.002) and at 8:00 (p = 0.009) on day 2, and at all three time points on day 3 (p = 0.032, 0.014, 0.047) between delirium and non-delirium patients. The plasma cortisol level in the delirium patients was significantly lower than that in the non-delirium patients at 16:00 on day 1 (p = 0.025). The changes in melatonin and cortisol secretion levels exhibited obvious biological rhythmicity in non-delirium patients (p < 0.001 for melatonin, p = 0.026 for cortisol), while no rhythmicity was found in melatonin and cortisol secretion levels in the delirium group (p = 0.064 for melatonin, p = 0.454 for cortisol). There was no significant difference in RCSQ scores in the first three days between the two groups.ConclusionsThe disturbance of the circadian rhythm of melatonin and cortisol secretion was associated with the development of delirium in ICU patients. Clinical staff should pay more attention to the importance of maintaining patients’ normal circadian rhythms in the ICU.Trial registrationThe study was registered with the US National Institutes of Health ClinicalTrials.gov(NCT05342987) (25/04/2022).

Understanding an epidemiological view of a retrospective audit of medication errors in an intensive care unit

BackgroundMedication errors in the intensive care setting continue to occur at significant rates and are often associated with adverse events and potentially life-threatening repercussions. Aim/objectiveThe aim of this study was to (i) determine the frequency and severity of medication errors reported in the incident management reporting system; (ii) examine the antecedent events, their nature, the circumstances, risk factors, and contributing factors leading to medication errors; and (iii) identify strategies to improve medication safety in the intensive care unit (ICU). MethodA retrospective, exploratory, descriptive design was selected. Retrospective data were collected from the incident report management system and electronic medical records over a 13-month period from a major metropolitan teaching hospital ICU. ResultsA total of 162 medication errors were reported during a 13-month period, of which, 150 were eligible for inclusion. Most medication errors occurred during the administration (89.4%) and dispensing phases (23.3%). The highest reported errors included incorrect doses (25.3%), incorrect medications (12.7%), omissions (10.7%), and documentation errors (9.3%). Narcotic analgesics (20%), anaesthetics (13.3%), and immunomodifiers (10.7%) were the most frequently reported medication classes associated with medication errors. Prevention strategies were found to be focussed on active errors (67.7%) as opposed to latent errors (32.3%) and included various and infrequent levels of education and follow-up. Active antecedent events included action-based errors (39%) and rule-based errors (29.5%), whereas latent antecedent events were most associated with a breakdown in system safety (39.3%) and education (25%). ConclusionThis study presents an epidemiological view and understanding of medication errors in an Australian ICU. This study highlighted the preventable nature of most medication errors in this study. Improving administration-checking procedures would prevent the occurrence of many medication errors. Approaches aimed at both individual- and organisational-level improvements are recommended to address administration errors and inconsistent medication-checking procedures. Areas for further research include determining the most effective system developments for improving administration-checking procedures and verifying the risk and prevalence of immunomodifier administration errors in the ICU as this is an area not reported previously in the literature. In addition, the impact of single- versus two-person checking procedures on medication errors in the ICU should be prioritised to address current evidence gaps.

Factors associated with meropenem pharmacokinetic/pharmacodynamic target attainment in septic critically ill patients treated with extended intermittent infusion or continuous infusion

ObjectivesThe use of extended intermittent infusion (EII) or continuous infusion (CI) of meropenem is recommended in intensive care unit (ICU) patients, but few data comparing these two options are available. This retrospective cohort study was conducted between 1 January 2019 and 31 March 2020 in a teaching hospital ICU. It aimed to determine the meropenem plasma concentrations achieved with CI and EII. MethodsThe study included septic patients treated with meropenem who had one or more meropenem plasma trough (Cmin) or steady-state concentration (Css) measurement(s), as appropriate. It then assessed the factors independently associated with attainment of the target concentration (Cmin or Css ≥ 10 mg/L) and the toxicity threshold (Cmin or Css ≥ 50 mg/L) using logistic regression models. ResultsAmong the 70 patients analysed, the characteristics of those treated with EII (n = 33) and CI (n = 37) were balanced with the exception of estimates glomerular filtration rate (eGFR): median 30 mL/min/m2 (IQR 30, 84) vs. 79 mL/min/m2 (IQR 30, 124). Of the patients treated with EII, 21 (64%) achieved the target concentration, whereas 31 (97%) of those treated with CI achieved it (P < 0.001). Factors associated with target attainment were: CI (OR 16.28, 95% CI 2.05–407.5), daily dose ≥ 40 mg/kg (OR 12.23, 95% CI 1.76–197.0; P = 0.03) and eGFR (OR 0.98, 95% CI 0.97–0.99; P = 0.02). Attainment of toxicity threshold was associated with daily dose > 70 mg/kg (OR 35.5, 95% CI 5.61–410.3; P < 0.001). ConclusionThe results suggest the use of meropenem CI at 40–70 mg/kg/day, particularly in septic ICU patients with normal or augmented renal clearance.

Demographics and Clinical Patterns of Retinopathy of Prematurity at the University of Teaching Hospitals, Women and Newborn Hospital

Background: Retinopathy of prematurity (ROP) is a disorder of the developing retina of very low birth weight (VLBW) preterm infants. It is an important cause of childhood blindness and is listed as one of the causes of avoidable blindness in the vision 2020 - “The Right to Sight” Programme.&#x0D; ROP is more prevalent in highly developed countries where neonatal services’ availability, access and outcomes are good. The survival rates of Very low Birth Weight (VLBW) infant and low gestational age (GA) at the University Teaching Hospital (UTH), Women and Newborn Hospital (WNH) Neonatal Intensive Care Unit has improved.&#x0D; Aims: To estimate the prevalence of ROP at UTH, WNH, NICU.&#x0D; Study Design: Hospital-based cross-sectional study.&#x0D; Place and Duration: Neonatal Intensive Care Unit, Women and Newborn hospital at the University Teaching Hospital, in Lusaka, Zambia between November 2021 to April 2022.&#x0D; Methodology: We included 110 (54.5% males and 45.5% females) infants either born at &lt;32 weeks GA or weighed &lt;1500g. Dilated fundus examinations were done at 4 to 6 weeks chronological age or 31 to 33 weeks GA. Medical records were reviewed to identify associated factors.&#x0D; Results: Mean gestational age at birth was 30.6±2 weeks ranging from 27 to 34 weeks, mean birth weight was 1422.7±334.3 g ranging from 900g to 2200 g, mean Apgar score at 1 minute was 7±1.3, at 5 minutes the mean was 7.8±0.9, and at 10 minutes the mean was 8.4±0.7. Twenty-six (23.6%) were products of multiple gestations. Hyaline membrane disease was observed in 14 (12.7%), neonatal sepsis in 48 (43.6%), necrotising enterocolitis in 6 (5.5%), patent ductus arteriosus in one (0.9%), and hyperglycaemia in 56 (50.9%) cases.&#x0D; Conclusion: Our study found no participant with retinopathy of prematurity at UTH NICU. Further, the study could not make associations between suggested risk factors to the development of ROP. However, being a novel study on this topic in the country, it highlights the importance of setting up screening protocols and their attendant equipment in Special Care Baby Units at UTH and improving neonatal care services.

Microbiological and Antibiotic Susceptibility Patterns in Cardiothoracic and Vascular Intensive Care Unit of a Tertiary Level Hospital in Nepal

Background: Sepsis has been one of the most important conditions for morbidity and mortality of Intensive care unit (ICU) patients. Antibiotics remain one of the major combating factors for it. Indiscriminate antimicrobial usage and poor prescription practices have contributed to the development of multidrug resistant (MDR) organisms. Therefore, the current study was designed to evaluate the spectrum, and susceptibility patterns of pathogens isolated from patients admitted to our Cardiothoracic and Vascular Intensive care unit. Materials and Methods: The study was conducted in Cardiothoracic and Vascular ICU of a tertiary care teaching hospital from February 2019 to March 2021. Samples (blood, urine, wound swab, tracheal aspirate, and central venous catheter tip) for culture were taken from all the patients in Sepsis admitted in Cardiothoracic and Vascular ICU above 18 years of age during the study period. The culture reports (microbiological profile and their susceptibility pattern) were collected and data collection of all enrolled patients was done. Results: Out of the total 128 samples studied 75 (58.5%) were culture positive. The predominant organisms isolated were Gram negative organisms (Klebsiella, Pseudomonas, Acinetobacter, followed by E. coli). The highest prevalence of microbial growth was found in tracheal aspirate (46.8%), followed by blood (21.8%). Antibiotic susceptibility results showed the highest sensitivity of those common pathogens towards higher antibiotics only (especially Polymyxin B and Colistin). Conclusion: The emergence of multidrug resistant organisms and lesser availability of a higher group of antibiotics is a major concern. So there is a need for regular hospital based antibiograms, strict infection control programs, and implementation of antimicrobial stewardship programmes for guiding clinicians in choosing appropriate therapy and preventing the surge of multidrug resistant organisms.

Changing Critical Care Patterns and Associated Outcomes in Mechanically Ventilated Severe COVID-19 Patients in Different Time Periods: An Explanatory Study from Central India.

ABSTRACTBackgroundThe outcomes in critical illness depend on disease severity, practice protocols, workload, and access to care. This study investigates the factors affecting outcomes in mechanically ventilated coronavirus disease-2019 acute respiratory distress syndrome (COVID-19 ARDS) patients admitted in a tertiary teaching hospital intensive care unit (ICU) in Central India with reference to different time periods in pandemic. This is one of the largest series of mechanically ventilated COVID-19 ARDS patients, globally.MethodsThis retrospective cohort study classified the entire data into four time periods (Period 1: April 2020 to June 2020; Period 2: July 2020 to September 2020; Period 3: October 2020 to December 2020; and Period 4: January 2021 to April 2021). We performed a multivariable-adjusted analysis to evaluate predictors of mortality, adjusted for baseline-severity, sequential organ failure assessment (SOFA score) and time period. We applied mixed-effect binomial logistic regression to model fixed-effect variables with incremental complexity.ResultsAmong the 56 survivors (19.4%) out of 288 mechanically ventilated patients, there was an up-gradient of survival proportion (0, 18.2, 17.4, and 28.6%) in four time periods. Symptom–intubation interval (OR 1.16; 95% CI 1.03–1.31) and driving pressures (DPs) (OR 1.17; 95% CI 1.07–1.28) were significant predictors of mortality in the model having minimal AIC and BIC values. Patients aged above 60 years also had a larger effect, but statistically insignificant effect favoring mortality (OR 1.99; 95% CI 0.92–4.27). The most complex but less parsimonious model (with higher AIC/BIC) indicated the protective odds of high steroid on mortality (OR 0.59; 95% CI 0.59–0.82).ConclusionThe outcomes in mechanically ventilated COVID-19 ARDS patients are heterogeneous across time windows and may be affected by the complex interaction of baseline risk and critical care parameters.How to cite this articleSaigal S, Joshi A, Panda R, Goyal A, Kodamanchili S, Anand A, et al. Changing Critical Care Patterns and Associated Outcomes in Mechanically Ventilated Severe COVID-19 Patients in Different Time Periods: An Explanatory Study from Central India. Indian J Crit Care Med 2022;26(9):1022–1030.

Direct Medical Cost Analysis of Indian COVID-19 Patients Requiring Critical Care Admission.

IntroductionIntensive care unit (ICU) admission is required for approximately 25% of patients affected with coronavirus disease-19 (COVID-19) and imposes a high economic burden on patients in resource-limited settings.MethodWe conducted a retrospective direct medical care cost analysis of COVID-19 patients requiring ICU admission after obtaining the Institutional Ethics Committee approval. Data were obtained from the records of patients admitted to the COVID-19 ICU of a tertiary care trust teaching hospital from June 2020 to December 2020. Direct costs were analyzed and correlated with various demographic variables and clinical outcomes.ResultsA total of 176 patients were included (males—76%). The median direct medical cost for a median stay of 13 days was INR 202248.5 ($ 2742.91). Hospital drugs and disposables accounted for 20% of the total cost followed by bed charges (19%), equipment charges (17%), biosafety protective gear (15.5%), pathological and radiological tests (15%), clinical management (7.6%), and biomedical waste management (1.6%). Government schemes accounted for 79% of medical claims followed by directly paying patients (12.5%) and private insurance (8.5%). The cost was significantly higher in patients with diabetes mellitus and sepsis and in those requiring mechanical ventilation (MV) (p <0.05). Shorter lead time to hospital admission and lesser length of hospital stay were associated with significant lower direct cost.ConclusionDirect medical care cost is substantial for COVID-19 patients requiring ICU admission. This cost is significantly associated with increased ICU and hospital stay, longer lead time to admission, diabetes mellitus, sepsis, and those who need high-flow nasal cannula (HFNC), noninvasive ventilation (NIV), and MV.How to cite this articleReddy KN, Shah J, Iyer S, Chowdhury M, Yerrapalem N, Pasalkar N, et al. Direct Medical Cost Analysis of Indian COVID-19 Patients Requiring Critical Care Admission. Indian J Crit Care Med 2021;25(10):1120–1125.

Overhydration in acute kidney injury: Is it always a menace to critically ill patients? A survival study using bioimpedance spectroscopy.

The hydration status is a predictor of survival in critically ill patients. However, it is unclear whether this association depends on the patient clinical condition. This study was designed to analyze the impact of hydration status on survival of critically ill patients with acute kidney injury (AKI) with or without sepsis. A prospective cohort study following critically ill patients with AKI consecutively admitted over a one-year period to a teaching hospital intensive care unit (ICU). All patients with AKI stage three or higher of the KDIGO score were included. The hydration status was evaluated through the overhydration (OH) parameter of spectroscopy bioimpedance and sepsis was defined according Sepse-3 criteria. The survival analysis used adjusted competing-risks regression. Forty-eight patients were included, 27 (56%) with a sepsis diagnosis. The main negative predictors of survival among sepsis patients, adjusted by SAPS3 score, were higher OH (SHR 1.1, 95% CI 1.0-1.2, p=0.02), mechanical ventilation (SHR 6.9, 95% CI 1.0-47.8, p=0.04) and older age (SHR 1.1, 95% CI 1.0-1.1, p=0.005). The predictors in non-sepsis patients were lower OH (SHR 0.82, 95% CI 0.71-0.95, p=0.008) and mechanical ventilation (SHR 12, 95% CI 2.4-6.6, p<0.001). This finding suggests that extracellular overhydration is an independent predictor of survival in critically ill patients with sepsis, but it seems to have opposite effect in non-sepsis patients.

Microbiological and Clinical Characteristics of Bloodstream Infections in General Intensive Care Unit: A Retrospective Study.

BackgroundBloodstream infections (BSI) are one of the common causes of morbidity and mortality in hospitals; however, the pathogenic spectrum and bacterial antibiotic resistance vary across the world. Therefore, identifying the pathogenic spectrum and changes in bacterial antibiotic resistance is critical in controlling BSI and preventing the irrational use of antibiotics. This study evaluated the microbiological and clinical data of BSI patients in the intensive care unit (ICU) of Tianjin Medical University General Hospital in Tianjin, China, to guide the selection of empirical antibiotic therapy.MethodsThis study retrospectively analyzed the distribution and antibiotic resistance of pathogens based on the clinical data of BSI patients presented in the ICU of a tertiary teaching hospital from 2018 to 2020. Test performance for the prediction of pathogen species was assessed by receiver operating characteristic (ROC) analysis.ResultsThe analysis of the data of 382 BSI cases (10.40 cases per thousand patient day) revealed the most frequently isolated microorganisms to be Klebsiella pneumonia (11.52%), followed by Escherichia coli (9.95%), Staphylococcus epidermidis (9.95%), Candida parapsilosis (8.12%), and Enterococcus faecium (8.12%). Out of the isolated E. coli and K. pneumonia strains, 52.63, and 36.36%, respectively, were extended-spectrum β-lactamase (ESBL) positive. The antibiotic-resistance rate of the ESBL-positive strains was 30.56% for piperacillin/tazobactam, 5.56% for imipenem, and 11.11% for tigecycline. In addition, most A. baumannii belonged to the group of multidrug-resistant (MDR) strains, with an antibiotic-resistance rate of 90.48% for meropenem and 16.00% for amikacin. However, polymyxin-resistant A. baumannii strains were not detected. Four strains of methicillin-resistant S. aureus (MRSA) (4/21, 19.05%) and one strain of vancomycin-resistant enterococci (VRE) were detected, with a resistance rate of 4.76 and 2.32%, respectively. Among the isolated 55 fungal strains, C. parapsilosis was the most common one (30/55, 56.36%), with an antibiotic-resistance rate of 5.77% for voriconazole, fluconazole, and itraconazole. The presence of amphotericin B-or flucytosine-resistant strains was not observed. Compared with the patients with Gram-positive and fungal pathogens, patients with Gram-negative bacteria exhibited the highest sequential organ failure assessment (SOFA) score (P < 0.001), lowest Glasgow Coma Scale (GCS) (P = 0.010), lowest platelet (PLT) value (P < 0.001), highest plasma creatinine (Cr) value (P = 0.016), and the highest procalcitonin (PCT) value (P < 0.001). The AUC in the ROC curve was 0.698 for the differentiation of Gram-negative BSI from Gram-positive BSI. A cutoff value of 8.47 ng/mL for PCT indicated a sensitivity of 56.9% and a specificity of 75.5%. The AUC in the ROC curve was 0.612 for the differentiation of bacteremia from fungemia. A cutoff value of 4.19 ng/mL for PCT indicated a sensitivity of 56.8% and a specificity of 62.7%.ConclusionAmong the bloodstream infection strains in ICU, Gram-negative bacteria have the highest drug resistance rate, and will cause more serious brain damage, renal function damage and thrombocytopenia. So clinician should pay more attention to the treatment of Gram-negative bacteria in patients with bloodstream infection in ICU. The test index of PCT can be used to distinguish Gram-negative bacteremia from Gram-positive and bacteremia from fungemia but not as an effective indicator, thereby indicating the need for further large-scale research.

Microorganism Spectrum and Its Sensitivity Pattern at Intensive Care Unit of a Secondary Care Teaching Hospital in Tangerang, Indonesia

BACKGROUND: Antimicrobial resistance is one of the world’s problems. It occurs due to misuse of antimicrobials in dealing with infectious diseases, making antimicrobial drugs less effective in treating infectious diseases. Antimicrobial sensitivity pattern is useful for directing clinicians in empirical therapy and preventing antimicrobial abuse so that resistance to antimicrobial drugs does not occur. AIM: This research is conducted to identify the microorganism spectrum and its sensitivity pattern at the intensive care unit (ICU) of a secondary care teaching hospital in Tangerang, Indonesia. METHODS: This study is a cross-sectional observational retrospective study done in the ICU of secondary care teaching hospital in Tangerang, Indonesia from January 2019to June 2020. This study used 1,341 isolated extracted from the ICU of a secondary care teaching hospital in the Tangerang database. All the samples would be analyzed using Microsoft Excel 2013 and Statistical Package for the Social Science 25 (SPSS 25) using ANOVA analysis. RESULTS: From 1,341 isolates, the most common microorganism found was Klebsiella pneumoniae 221(16%) and the most common specimen is sputum 905 (67,48%). Gram-negative bacteria had the highest sensitivity to amikacin 62% and imipenem 59%. Gram-positive bacteria had the highest sensitivity to tigecycline 98% and doxycycline 95%. While Candida spp. had the highest sensitivity to micafungin (96%) and voriconazole (97%). CONCLUSIONS: This study showed that the sensitivity of antimicrobials was no longer effective in treating infection. Therefore, the government and doctors must play an important role in socializing the correct way of using antimicrobial.

Reducing broad-spectrum antibiotic use in intensive care unit between first and second waves of COVID-19 did not adversely affect mortality

BackgroundThe COVID-19 pandemic increased the use of broad-spectrum antibiotics due to diagnostic uncertainty, particularly in critical care. Multi-professional communication became more difficult, weakening stewardship activities.AimTo determine changes in bacterial co-/secondary infections and antibiotics used in COVID-19 patients in critical care, and mortality rates, between the first and second waves.MethodsProspective audit comparing bacterial co-/secondary infections and their treatment during the first two waves of the pandemic in a single-centre teaching hospital intensive care unit. Data on demographics, daily antibiotic use, clinical outcomes, and culture results in patients diagnosed with COVID-19 infection were collected over 11 months.FindingsFrom March 9th, 2020 to September 2nd, 2020 (Wave 1), there were 156 patients and between September 3rd, 2020 and February 1st, 2021 (Wave 2) there were 235 patients with COVID-19 infection admitted to intensive care. No significant difference was seen in mortality or positive blood culture rates between the two waves. The proportion of patients receiving antimicrobial therapy (93.0% vs 81.7%; P < 0.01) and the duration of meropenem use (median (interquartile range): 5 (2–7) vs 3 (2–5) days; P = 0.01) was lower in Wave 2. However, the number of patients with respiratory isolates of Pseudomonas aeruginosa (4/156 vs 21/235; P < 0.01) and bacteraemia from a respiratory source (3/156 vs 20/235; P < 0.01) increased in Wave 2, associated with an outbreak of infection. There was no significant difference between waves with respect to isolation of other pathogens.ConclusionReduced broad-spectrum antimicrobial use in the second wave of COVID-19 compared with the first wave was not associated with significant change in mortality.

Predictors of Outcome of Cirrhotic Patients Requiring Invasive Mechanical Ventilation: Experience From a Non-Transplant Tertiary Care Hospital in Pakistan.

BackgroundPatients with known liver cirrhosis, irrespective of the etiology, have poor outcomes when put on invasive mechanical ventilation in an intensive care unit (ICU) setting. The clinical situation becomes even more complicated when such patients are managed in a non-transplant center. Various factors are associated with poor outcomes, and hence, various scoring systems are available to help determine the prognosis in patients with liver cirrhosis. These scoring systems are broadly classified into two categories, namely, ICU-specific scoring systems and liver disease-specific scoring systems. There is a dearth of data from Pakistan regarding which score better determines the prognosis of patients with liver cirrhosis admitted to the ICU. In this study, we aimed to determine the outcome of cirrhotic patients requiring invasive mechanical ventilation in a non-transplant tertiary care hospital in Pakistan using ICU-specific and liver disease-specific scoring systems.MethodologyA retrospective study design was applied to a record of 88 cirrhotic patients admitted to the medical ICU of a tertiary care teaching hospital in Karachi, Pakistan, from January 2016 to November 2016. Patients with acute hepatitis were excluded. Data on patients’ characteristics, the reason for intubation, hepatic encephalopathy, the need for vasopressor support, and the duration of ICU and hospital stay were collected. Moreover, the first-day Acute Physiology and Chronic Health Evaluation (APACHE) II, Sequential Organ Failure Assessment (SOFA), Child-Turcotte-Pugh (CTP), and Model for End-Stage Liver Disease (MELD) scores were calculated, with mortality being the primary outcome measure.ResultsThe most common etiology was hepatitis C (52.3%, 46/88). The most common reason for intubation was airway protection (57.9%, 51/88). Overall mortality was 71.6% (63/88). On univariate analysis, CTP score >10, MELD score >18, hepatic encephalopathy, bilirubin, prothrombin time, presence of tense ascites, and APACHE II were significantly associated with mortality. On multivariate analysis, CTP score >10 (odd ratio = 21; 95% confidence interval (CI): 4-104; p < 0.001) was an independent predictor of mortality. Area under curve was 0.89 (95% CI = 0.82-0.96) for CTP, 0.86 (95% CI = 0.77-0.95) for MELD, 0.81 (95% CI = 0.69-0.92) for APACHE II, and 0.81 (95% CI = 0.71-0.91) for SOFA in predicting mortality.ConclusionsCTP and MELD scores are better predictors of short-term mortality in patients with liver cirrhosis requiring invasive mechanical ventilation compared to APACHE II and SOFA scores. CTP score >10 was an independent predictor of mortality.

Comparison of venous hemoglobin saturation measurements obtained by in vivo oximetry and calculated from blood gas analysis in critically ill dogs

To compare in vivo central venous hemoglobin saturation measurement (ScvO2 ) using a fiber optic catheter with saturation calculated from blood gas analysis in critically ill dogs. Prospective observational study. University veterinary teaching hospital intensive care unit. A convenience sample of 20 dogs with severe illness. Dogs were instrumented with either a central venous catheter with an integrated fiber optic cable or a conventional catheter with a fiber optic probe inserted through its distal port. Baseline saturation was measured with the fiber optic system (FSO2 ), then monitored continuously. Central venous blood was collected for analysis and FSO2 was recorded by the principal investigator (PI) or nursing staff participating in data collection (staff) at baseline and at 1, 2, 3, and 6 hours. Hemoglobin oxygen saturation (SO2 ) values calculated using human Bohr coefficients were taken directly from the analyzer (GPSO2 ), and were also calculated using temperature-correction and canine Bohr coefficients (RSO2 ). Ninety-seven paired measurements from 20 dogs were analyzed. FSO2 obtained by the PI (n = 41) had better agreement with both GPSO2 (concordance correlation coefficient ρc = 0.926 vs 0.5562) and RSO2 (ρc = 0.75 for PI vs 0.54) than did staff (n = 56). RSO2 values were always smaller than GPSO2 . FSO2 - GPSO2 differences were smaller when measurements were collected by the PI versus Staff (mean difference 0.21 vs -6.6, respectively, P<0.02). Thirty-six of 41 FSO2 values obtained by PI were within 5% of GPSO2 . Concordance between FSO2 and either calculation method was low, but was better when performed by PI. The larger difference between methods when using RSO2 suggests a positive bias by FSO2 . Difficulty obtaining stable measurements may have contributed to the poor concordance between methods within Staff.

The Correspondence Between Fluid Balance and Body Weight Change Measurements in Critically Ill Adult Patients.

IntroductionPositive fluid status has been associated with a worse prognosis in intensive care unit (ICU) patients. Given the potential for errors in the calculation of fluid balance totals and the problem of accounting for indiscernible fluid losses, measurement of body weight change is an alternative non-invasive method commonly used for estimating body fluid status. The objective of the study is to compare the measurements of fluid balance and body weight changes over time and to assess their association with ICU mortality.MethodsThis prospective observational study was conducted in the 34-bed multidisciplinary ICU of a tertiary teaching hospital in southern Brazil. Adult patients were eligible if their expected length of stay was more than 48 hours, and if they were not receiving an oral diet. Clinical demographic data, daily and cumulative fluid balance with and without indiscernible water loss, and daily and total body weight changes were recorded. Agreement between daily fluid balance and body weight change, and between cumulative fluid balance and total body weight change were calculated.ResultsCumulative fluid balance and total body weight change differed significantly among survivors and non survivors respectively, +2.53L versus +5.6L (p= 0.012) and -3.05kg vs -1.1kg (p= 0.008). The average daily difference between measured fluid balance and body weight was +0.864 L/kg with a wide interval: -3.156 to +4.885 L/kg, which remained so even after adjustment for indiscernible losses (mean bias: +0.288; limits of agreement between -3.876 and +4.452 L/kg). Areas under ROC curve for cumulative fluid balance, cumulative fluid balance with indiscernible losses and total body weight change were, respectively, 0.65, 0.56 and 0.65 (p= 0.14).ConclusionThe results indicated the absence of correspondence between fluid balance and body weight change, with a more significant discrepancy between cumulative fluid balance and total body weight change. Both fluid balance and body weight changes were significantly different among survivors and non-survivors, but neither measurement discriminated ICU mortality.

Acute Kidney Injury and COVID-19: A Picture from an Intensive Care Unit

Introduction: Acute kidney injury (AKI) is a frequent complication in coronavirus disease 2019 (COVID-19) patients admitted to intensive care unit (ICU) for severe respiratory failure. The aim is to evaluate the rate of AKI, defined according to Kidney Disease: Improving Global Outcome guidelines, in a series of critical COVID-19 patients admitted to the ICU of a single tertiary teaching hospital. Methods: From April to May 2020, all consecutive critically ill COVID-19 patients admitted to the ICU who did not meet exclusion criteria (length of ICU stay <48 h, ESRD requiring dialysis, and patients still hospitalized in ICU at the time of data analysis) were enrolled in this study. Patients were stratified according to the highest AKI stage attained during ICU stay. Results: Sixty-one patients were included in the analysis. AKI was observed in 35/61 patients (57.4%): 25/35 episodes (71.4%) were observed within the first 7 days. AKI was classified as follows: 17.1% stage 1, 25.7% stage 2, and 57.2% stage 3. Fourteen out of 20 stage-3 patients required continuous renal replacement therapy (CRRT), mostly related to persistent oliguria. The overall ICU mortality was 68.9%, and it was higher in patients developing AKI if compared to no-AKI patients (p = 0.006). Renal function recovery of any grade was observed in 14 out of 35 AKI patients (40%). Among patients undergoing CRRT, 13 patients were still dialysis dependent at the time of death. Conclusion: In critical COVID-19 patients, ICU mortality is particularly high, especially in patients developing AKI. An accurate monitoring of renal function in early phases of respiratory failure should be ensured in order to timely apply any strategy aimed at limiting renal complications during ICU stay.

Multimodal strategy to reduce central line-associated bloodstream infections in the ICU of a tertiary teaching hospital

Background: Central line-associated bloodstream infections (CLABSI) in the intensive care unit (ICU) are a serious preventable hospital acquired infection which can result in increasing mortality, morbidity and health care costs. In this study, we aim to determine the effect of implementing a multimodal strategy on reducing the incidence rates of CLABSIs in the ICU of a tertiary teaching hospital. Methods and materials: All patients who had a central venous catheter (CVC) inserted in in the University Malaya Medical Centre (UMMC) ICU from January 2018 to June 2019 were prospectively followed up by the infection control nurse until removal of CVC. The study periods were divided into pre-intervention (January 2018–August 2018) and the post intervention (September 2018–August 2019) periods. CLABSI was diagnosed based on the definition by Centers for Disease Control and Prevention (CDC). Data was collected using a standardized CLABSI surveillance form and analyzed using Statistical Package for the Social Sciences (SPSS) version 20. In September 2018, a multidisciplinary quality improvement team was formed consisting of interventionists, the infection control team, an infectious diseases physician, ICU nurses and medical assistants. A baseline assessment of current practice was done and gaps in practice were identified. Following that, the team carried out several interventions including education, training, regular audits on line care, immediate feedback and conducting mini root cause analysis for every CLABSI identified. Additionally all staff in ICU were required to complete the online Hand Hygiene Australia module. Results: In the pre intervention period, the rate of CLABSI in ICU was high at 8.89/1000 catheter days. Following the multimodal interventions in September 2018, the rates of CLABSI in ICU reduced to 3.02/1000 catheter days in the post intervention period. Conclusion: Implementing multimodal strategies with a multidisciplinary team in the ICU with hands on training, and regular audits is effective in reducing the incidence rates of CLABSI.