Objective: To assess the number of adult critical care beds in Asian countries and regions in relation to population size. 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 2 = 0.19; p = 0.047), the universal health coverage service coverage index (r 2 = 0.35; p = 0.003), and the Human Development Index (r 2 = 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.

PURPOSE To determine whether prophylactic use of compression sleeves prevents arm swelling in women who had undergone axillary lymph node dissection for breast cancer surgery. METHODS Women (n = 307) were randomly assigned to either a compression or control group. In addition to usual postoperative care, the compression group received two compression sleeves to wear postoperatively until 3 months after completing adjuvant treatments. Arm swelling was determined using bioimpedance spectroscopy (BIS) thresholds and relative arm volume increase (RAVI). Incidence and time free from arm swelling were compared using Kaplan-Meier analyses. Hazard ratios (HRs) were estimated from Cox regression models for BIS and RAVI thresholds independently. In addition, time to documentation of the first minimally important difference (MID) in four scales of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and the breast cancer–specific (BR23) questionnaire was analyzed. RESULTS The HR for developing arm swelling in the compression group relative to the control group was 0.61 (95% CI, 0.43 to 0.85; P = .004) on the basis of BIS and 0.56 (95% CI, 0.33 to 0.96; P = .034) on the basis of RAVI. The estimated cumulative incidence of arm swelling at 1 year was lower in the compression group than the control group on the basis of BIS (42% v 52%) and RAVI (14% v 25%). HRs for time from baseline to the first change of the minimally important difference were not statistically significant for any of the four scales of EORTC QLQ-30 and BR23 questionnaires. CONCLUSION Prophylactic use of compression sleeves compared with the control group reduced and delayed the occurrence of arm swelling in women at high risk for lymphedema in the first year after surgery for breast cancer.

We report the management of failed intubation in a critically ill, hypoxic and catabolic patient with sepsis and acute lung injury. Insertion of a laryngeal mask airway restored ventilation and corrected hypoxia. As the laryngeal mask provides only a temporary airway, it was essential to secure the airway by percutaneous tracheostomy to initiate mechanical ventilation.

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