DESIGN: Cross-sectional observational study.
SETTING: Twenty-three Asian countries and regions, covering 92.1% of the continent's population.
PARTICIPANTS: Ten low-income and lower-middle-income economies, five upper-middle-income economies, and eight high-income economies according to the World Bank classification.
INTERVENTIONS: Data closest to 2017 on critical care beds, including ICU and intermediate care unit beds, were obtained through multiple means, including government sources, national critical care societies, colleges, or registries, personal contacts, and extrapolation of data.
MEASUREMENTS AND MAIN RESULTS: Cumulatively, there were 3.6 critical care beds per 100,000 population. The median number of critical care beds per 100,000 population per country and region was significantly lower in low- and lower-middle-income economies (2.3; interquartile range, 1.4-2.7) than in upper-middle-income economies (4.6; interquartile range, 3.5-15.9) and high-income economies (12.3; interquartile range, 8.1-20.8) (p = 0.001), with a large variation even across countries and regions of the same World Bank income classification. This number was independently predicted by the World Bank income classification on multivariable analysis, and significantly correlated with the number of acute hospital beds per 100,000 population (r = 0.19; p = 0.047), the universal health coverage service coverage index (r = 0.35; p = 0.003), and the Human Development Index (r = 0.40; p = 0.001) on univariable analysis.
CONCLUSIONS: Critical care bed capacity varies widely across Asia and is significantly lower in low- and lower-middle-income than in upper-middle-income and high-income countries and regions.
METHODOLOGY: Staff members were observed during patient contacts, and their hand washing techniques and hand hygiene practices were monitored. Five contact periods were observed for staff members while they cared for their assigned patients. Hand hygiene practices before and after patient contacts were categorized as clean uncontaminated, clean recontaminated, new gloves, and unchanged contaminated gloves. Compliance to hand-washing steps and time taken for hand washing were analyzed. Appropriate use of gloves based on CDC criteria also was assessed.
RESULTS: Compliance to hand hygiene practices was 70% before each patient contact. Staff members did not completely adhere to the hand-washing steps. The average time taken to wash hands was 20 seconds, and the necessary steps (rubbing palm over dorsum; rubbing fingers interlaced, and rotational rubbing of thumbs) were practiced minimally by all staff. Hand washing protocol was generally followed by all staff (100%). Alcohol hand rubs were available but were used moderately (60%); when used, staff members did not wait for the alcohol to dry. Only 4% of staff changed contaminated gloves between patients.
CONCLUSIONS: Hand hygiene compliance by ICU staff members needs to be improved. Improving adherence to correct hand hygiene techniques will require effective education programs and behavioral modification techniques. Moreover, hand hygiene guidelines must be incorporated into new staff orientation programs and the continuing education curriculum in the two hospitals studied.
METHODS: Patients that were treated at the Hospital Sultan Ismail's Burns Intensive Care (BICU) unit for acute burn injuries between 1 January 2010 to 31 December 2017 were included. Risk factors to predict in-patient burn mortality were gender, age, mechanism of injury, total body surface area burn (TBSA), inhalational injury, mechanical ventilation, presence of tracheotomy, time from of burn injury to BICU admission and initial centre of first emergency treatment was administered. These variables were analysed using univariate and multivariate analysis for the outcomes of death. All patients were scored retrospectively using the five-burn mortality prognostic scores. Predictive ability for burn mortality was analysed using the area under receiver operating curve (AUROC).
RESULTS: A total of 525 patients (372 males and 153 females) with mean age of 34.5 ± 14.6 years were included. There were 463 survivors and 62 deaths (11.8% mortality rate). The outcome of the primary objective showed that amongst the burn mortality risk factors that remained after multivariate analysis were older age (p = 0.004), wider TBSA burn (p
Method: Field data collected during the COVID-19 outbreak in Selangor, Malaysia, up to 13 April 2020 were used, comprising socio-demographic characteristics, comorbidities and presenting symptoms of COVID-19 cases. ICU admission was determined from medical records. Multiple logistic regression analysis was performed to identify factors associated with ICU admission requiring intubation/mechanical ventilation among COVID-19 cases.
Results: A total of 1287 COVID-19-positive cases were included for analysis. The most common comorbidities were hypertension (15.5%) and diabetes (11.0%). More than one third of cases presented with fever (43.8%) or cough (37.1%). Of the 25 cases that required intubation/mechanical ventilation, 68.0% had hypertension, 88.0% had fever, 40.0% had dyspnoea and 44.0% were lethargic. Multivariate regression showed that cases that required intubation/mechanical ventilation had significantly higher odds of being older (aged 360 years) [adjusted odds ratio (aOR) = 3.9] and having hypertension (aOR = 5.7), fever (aOR = 9.8), dyspnoea (aOR = 9.6) or lethargy (aOR = 7.9) than cases that did not require intubation/mechanical ventilation.
Conclusion: The COVID-19 cases in Selangor, Malaysia requiring intubation/mechanical ventilation were significantly older, with a higher proportion of hypertension and symptoms of fever, dyspnoea and lethargy. These risk factors have been reported previously for severe COVID-19 cases, and highlight the role that ageing and underlying comorbidities play in severe outcomes to respiratory disease.
METHODS AND RESULTS: We analyzed a cohort of children <5 years of age undergoing VSD closure at 60 global centers participating in the International Quality Improvement Collaborative for Congenital Heart Disease, 2015 to 2020. We calculated adjusted odds ratios (ORs) for in-hospital death and major infection and adjusted coefficients for duration of intensive care unit stay for 4 measures of malnutrition: severe wasting (weight-for-height Z score, care unit stay. Underweight was the strongest predictor of adverse outcomes. Children meeting criteria for all 3 (stunting, wasting, and underweight) had 17.2 times higher odds of mortality (P<0.001) than nonmalnourished children.
CONCLUSIONS: Malnutrition was associated with mortality, infection, and longer intensive care unit stay in a global cohort of children undergoing VSD closure.
OBJECTIVE: To determine the extent of unlicensed and off-label use of medicines in hospitalised children in the intensive care units of a tertiary care teaching hospital.
METHODS: A prospective, observational exploratory study was conducted on medicines prescribed to children admitted to the 3 intensive care units of Universiti Kebangsaan Malaysia Medical Centre (UKMMC).
RESULTS: A total of 194 patients were admitted to UKMMC, 168 of them received one or more drugs. Of 1,295 prescriptions, 353 (27.3 %) were unlicensed and 442 (34.1 %) were for off-label use. Forty-four percent of patients received at least one medicine for unlicensed use and 82.1 % received at least one medicine off-label. Preterm infants, children aged 28 days to 23 months, patients with hospital stays of more than 2 weeks, and those prescribed increasing numbers of medicines were more likely to receive medicines for unlicensed use. Term neonates and patients prescribed increasing numbers of medicines had increased risk of receiving medicines for off-label use.
CONCLUSION: Prescribing of medicines in an unlicensed or off-label fashion to the children in the intensive care units of UKMMC was common. Further detailed studies are necessary to ensure the delivery of safe and effective medicines to children.
METHODS: The medical records of ICU patients receiving colistin therapy in Hospital Serdang and Hospital Sungai Buloh from 2010 to 2012 were retrospectively reviewed. Demographics data, treatment characteristic as well as culture result and creatinine level were documented. Nephrotoxicity was determined based on RIFLE criteria.
RESULTS: A total of 100 patients were included. Median daily dose, cumulative dose and duration of colistin therapy were 3.0 MIU (IQR: 4, range 1-12), 17.8 MIU (IQR: 31.5, range 2-180) and seven days (IQR: 4, range 1-30). Nephrotoxicity was found in 23% of the study population. All cases were reversible but marginally associated with higher mortality. No statistical association exist between age, gender and race as well as administration routes with nephrotoxicity by univariable analysis. The association of dose and duration with nephrotoxicity was also not significant by univariable analysis. After adjustment for confounders, statistical association between the independent variables and dependent variable remains not significant.
CONCLUSION: Lower dose and shorter duration in local settings contribute to lack of association between colistin therapy and nephrotoxicity in this study. Higher dosing regimen with loading dose application has been introduced in the latest National Antibiotic Guideline. Further evaluation of colistin-induced nephrotoxicity and potential risk factors is therefore warranted.
METHODS: A retrospective analytical cross-sectional study was conducted over 2 years. The cumulative antibiograms were constructed in accordance with current guidelines.
RESULTS: A total of 976 first isolate cultures were obtained from ICUs of the different referral hospitals. K. pneumoniae (8.8%, 8.1%) was a predominant pathogen in Windhoek Central hospital ICU in 2017 and 2018. In Oshakati intermediate hospital ICU, Enterobacter sp. (22.2%) and P. aeruginosa (37.5%) were the common pathogens in 2017 and 2018, respectively. A. baumannii isolates were >90% susceptibility to colistin, carbapenems, and tigecycline in 2017. In 2017, K. pneumoniae isolates were more susceptible to carbapenems (94% and 93.8% among isolates), amikacin (89.3%), and tigecycline (88.7%). In 2018, K. pneumoniae isolates were 100% susceptible amikacin, colistin, and carbapenems. S. maltophilia isolates were more than 80% susceptible to all the tested antibiotics. S. aureus isolates were 100% susceptible to linezolid, rifampicin, teicoplanin, and vancomycin in 2017 and in 2018. Its susceptibility to these antibiotics did not change.
CONCLUSION: The susceptibility patterns of the common isolated gram-negative pathogens were highly variable. Meropenem in combination with gentamicin is now the recommended antibiotic combination for empiric therapy for patients with LRTIs in Windhoek Central Hospital ICU.