DESIGN: A single-center retrospective cross-sectional study.
SETTING: Tertiary referral PICU in Johor, Malaysia.
PATIENTS: All children admitted to the PICU over 8 years were included. Patients readmitted into PICU after the first PICU discharge during the hospitalization period were categorized into "early" (within 48 hr) and "late" (after 48 hr), and factors linked to the readmissions were identified. The mortality rate was determined and compared between no, early, and late readmission.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: There were 2,834 patients in the study with 70 early and 113 late readmissions. Therefore, the rate of early and late PICU readmission was 2.5% (95% CI, 1.9-3.0%) and 3.9% (95% CI, 3.2-4.7%), respectively. The median length of stay of the second PICU admission for early and late readmissions was 2.7 days (interquartile range, 1.1-7.0 d) and 3.2 days (interquartile range, 1.2-7.5 d), respectively. The majority of early and late readmissions had a similar diagnosis with their first PICU admission. Multivariable multinomial logistic regression revealed a Pediatric Index Mortality 2 score of greater than or equal to 15, chronic cardiovascular condition, and oxygen supplement upon discharge as independent risk factors for early PICU readmission. Meanwhile, an infant of less than 1 year old, having cardiovascular, other congenital and genetic chronic conditions and being discharged between 8 AM and 5 PM was an independent risk factor for late readmission. There was no significant difference in the mortality rate of early (12.9%), late (13.3%), and no readmission (10.7%).
CONCLUSIONS: Despite the lack of resources and expertise in lower- and middle-income countries, the rate and factors for PICU readmission are similar to those in high-income countries. However, PICU readmission has no statistically significant association with mortality.
DESIGN: Single-center retrospective observational study.
SETTING: Thirty-six-bed surgical/medical tertiary PICU.
PATIENTS: Children from birth to less than or equal to 16 years old admitted between 2015 and 2018.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Clinical data were extracted from the PICU clinical information system. Patients with baseline creatinine at admission greater than 20 micromol/L above the calculated normal creatinine level were classified as "high risk of acute kidney injury." Models were created to predict acute kidney injury at admission and on day 1. Out of the 7,505 children admitted during the study period, 738 patients (9.8%) were classified as high risk of acute kidney injury at admission and 690 (9.2%) developed acute kidney injury during PICU admission. Compared to Kidney Disease: Improving Global Outcomes criteria as the reference standard, high risk of acute kidney injury had a lower sensitivity and higher specificity compared with renal angina index greater than or equal to 8 on day 1. For the admission model, the adjusted odds ratio of developing acute kidney injury for high risk of acute kidney injury was 4.2 (95% CI, 3.3-5.2). The adjusted odds ratio in the noncardiac cohort for high risk of acute kidney injury was 7.3 (95% CI, 5.5-9.7). For the day 1 model, odds ratios for high risk of acute kidney injury and renal angina index greater than or equal to 8 were 3.3 (95% CI, 2.6-4.2) and 3.1 (95% CI, 2.4-3.8), respectively.
CONCLUSIONS: The relationship between high risk of acute kidney injury and acute kidney injury needs further evaluation. High risk of acute kidney injury performed better in the noncardiac cohort.
DESIGN: A multicenter, retrospective, descriptive cohort study.
SETTING: Ten multidisciplinary PICUs in Asia.
PATIENTS: All mechanically ventilated children meeting the Pediatric Acute Lung Injury Consensus Conference criteria for PARDS between 2009 and 2015.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Data on epidemiology, ventilation, adjunct therapies, and clinical outcomes were collected. Patients were followed for 100 days post diagnosis of PARDS. A total of 373 patients were included. There were 89 (23.9%), 149 (39.9%), and 135 (36.2%) patients with mild, moderate, and severe PARDS, respectively. The most common risk factor for PARDS was pneumonia/lower respiratory tract infection (309 [82.8%]). Higher category of severity of PARDS was associated with lower ventilator-free days (22 [17-25], 16 [0-23], 6 [0-19]; p < 0.001 for mild, moderate, and severe, respectively) and PICU free days (19 [11-24], 15 [0-22], 5 [0-20]; p < 0.001 for mild, moderate, and severe, respectively). Overall PICU mortality for PARDS was 113 of 373 (30.3%), and 100-day mortality was 126 of 317 (39.7%). After adjusting for site, presence of comorbidities and severity of illness in the multivariate Cox proportional hazard regression model, patients with moderate (hazard ratio, 1.88 [95% CI, 1.03-3.45]; p = 0.039) and severe PARDS (hazard ratio, 3.18 [95% CI, 1.68, 6.02]; p < 0.001) had higher risk of mortality compared with those with mild PARDS.
CONCLUSIONS: Mortality from PARDS is high in Asia. The Pediatric Acute Lung Injury Consensus Conference definition of PARDS is a useful tool for risk stratification.
METHOD: Thirty patients with single or multiple fractures were selected purposively for descriptive survey study between January 2018 to December 2018. Their ages varied from 41 to 80 years. There were 26 female and four males. 24 patients have single fracture and six had multiple fractures following low impact trauma. The demographic parameters were studied by structured interview schedule, and the research variable, the risk factors were studied by interview, biophysical assessment and records of BMD value through DEXA and serum level of vitamin D. Socio-demographic variables like age, sex, body weight, Body mass index (BMI), etc. were selected and their relationship were assessed to find out the risk factors of fragility fractures in society by research variables like risk factors of osteoporotic fractures. For statistical analysis of determination of association between such factors and fragility fractures, non-parametric Fisher exact test and Odds ratio was used.
RESULTS: In our study, osteoporotic fractures occurred majority (86.66%) among female maximally among 60-69 years age group. Whereas in relatively younger age (40-60 years), abnormal BMI (low or high) is responsible for fragility fracture as 46.6% of such fractures occurred in this group as 20% fracture are associated with underweight and 40.66% with overweight BMI. Tobacco smoking increases the risk of fragility fractures twice (as relative risk ratio 2) and rheumatoid arthritis increases the six-fold (as relative risk ratio 6). All 100% had history of fall. Level of serum vitamin D, low DEXA scan value (less than -2.5) and fall on ground resulting in low impact injuries shows strong association between those and fragility fractures. On the other hand, all the risk factors remain same for the recent and old fractures.
CONCLUSION: Several risk factors need to be addressed properly apart from medical managements to reduce the risk of occurrence of osteoporotic fractures.
METHODS: Systematic database search was performed to recruit original human, animal or in vitro studies on khat and cancer. Sixteen studies fulfilled the inclusion criteria and subjected to assessment using Risk of Bias (RoB). Office of Health and Translation (OHAT) approach was used to rate the confidence level in the body of evidence. The evidence was integrated to establish the relationships between khat, premalignant conditions and cancer.
RESULTS: Seven out of eight studies showed that khat causes premalignant oral lesions with moderate evidence level. Four studies showed that khat causes cancer with low evidence level and another three studies showed that khat has anti-cancer effect with moderate to high evidence level. Only one study suggested that khat is unrelated to cancer.
CONCLUSION: RoB and OHAT approach are reliable systematic tools to evaluate plant risk to cancer and provide objective and uniform summary regardless of the study type. In conclusion, our pooled analysis did not find a direct relationship between khat and cancer but anti-cancer effect would require to be proofed on human studies.