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Background: To analyse the association of thoracic cage size and configuration with outcomes following in-hospital cardiac arrest (IHCA). Methods: A single-centred retrospective study was conducted. Adult patients experiencing IHCA during 2006–2015 were screened. By analysing computed tomography images, we measured thoracic anterior-posterior and transverse diameters, circumference, and both anterior and posterior subcutaneous adipose tissue (SAT) depths at the level of the internipple line (INL). We also recorded the anatomical structure located immediately posterior to the sternum at the INL. Results: A total of 649 patients were included. The median thoracic circumference was 88.6 cm. The median anterior and posterior thoracic SAT depths were 0.9 and 1.5 cm, respectively. The ascending aorta was found to be the most common retrosternal structure (57.6%) at the INL. Multivariate logistic regression analyses indicated that anterior thoracic SAT depth of 0.8–1.6 cm (odds ratio [OR]: 2.98, 95% confidence interval [CI]: 1.40–6.35; p-value = 0.005) and thoracic circumference of 83.9–95.0 cm (OR: 2.48, 95% CI: 1.16–5.29; p-value = 0.02) were positively associated with a favourable neurological outcome while left ventricular outflow track or aortic root beneath sternum at the level of INL was inversely associated with a favourable neurological outcome (OR: 0.37, 95% CI: 0.15–0.91; p-value = 0.03). Conclusion: Thoracic circumference and anatomic configuration might be associated with IHCA outcomes. This proof-of-concept study suggested that a one-size-fits-all resuscitation technique might not be suitable. Further investigation is needed to investigate the method of providing personalized resuscitation tailored to patient needs.

Objectives During a pandemic, healthcare providers experience increased mental and physical burden. Burnout can lead to treatment errors, patient mortality, increased suicidal ideation and substance abuse as well as medical malpractice suits among medical staff. This study aimed to investigate the occurrence of burnout, acute stress disorder, anxiety disorder and depressive disorder among healthcare providers at the third month of the COVID-19 pandemic.Design A cross-sectional facility-based survey.Setting Hospitals around the country with different levels of care.Participants A total of 1795 respondents, including 360 men and 1435 women who participated in the survey.Primary outcome measures Burnout was assessed using the Physician Work Life Study. A score of ≥3 implied burnout.Results Of the 1795 respondents, 723 (40.3%) reported burnout, and 669 (37.3%) cared for patients with COVID-19. Anxiety levels were mild in 185 (10.3%) respondents, moderate in 209 (11.6%) and severe in 1401 (78.1%). The mean Center for Epidemiologic Studies Depression Scale-10 score was 9.5±6.3, and 817 (45.5%) respondents were classified as having depression. Factors associated with burnout were working in acute and critical care (ACC) divisions (adjusted OR (aOR)=1.84, 95% CI 1.20 to 3.39, p=0.019), caring for patients with COVID-19 (aOR=3.90, 95% CI 1.14 to 13.37, p=0.031) and having depressive disorder (aOR=9.44, 95% CI 7.44 to 11.97, p

Background: Vascular infections (VI) are potentially catastrophic complications of nontyphoid Salmonella (NTS). We aimed to develop a scoring model incorporating information from blood culture time to positivity (TTP-NTSVI) and compared the prediction capability for VI among adults with NTS bacteremia between TTP-NTSVI and a previously published score (Chen-NTSVI). Methods: This retrospective cohort study enrolled 217 adults with NTS bacteremia ≧ 50 years old. We developed a TTP-NTSVI score by multiple logistic regression modeling to identify independent predictors for imaging-confirmed VI and assigned a point value weighting by the corresponding natural logarithm of the odds ratio for each model predictor. Chen-NTSVI score includes hypertension, male sex, serogroup C1, coronary arterial disease (CAD) as positive predictors, and malignancy and immunosuppressive therapy as negative predictors. The prediction capability of the two scores was compared by area under the receiver operating characteristic curve (AUC). Results: The mean age was 68.3 ± 11.2 years-old. Serogroup D was the predominant isolate (155/217, 71.4%). Seventeen (7.8%) patients had VI. Four independent predictors for VI were identified: male sex (24.9 [2.59–239.60]; 6) (odds ratio [95% confidence interval]; assigned score point), peripheral arterial occlusive disease (9.41 [2.21–40.02]; 4), CAD (4.0 [1.16–13.86]; 3), and TTP

Clinical trials are a multi-billion-dollar industry. One of the biggest challenges facing the clinical trial research community is satisfying Part 11 of Title 21 of the Code of Federal Regulations [7] and ISO 27789 [40]. These controls provide audit requirements that guarantee the reliability of the data contained in the electronic records. Context-aware smart devices and wearable IoT devices have become increasingly common in clinical trials. Electronic Data Capture (EDC) and Clinical Data Management Systems (CDMS) do not currently address the new challenges introduced using these devices. The healthcare digital threat landscape is continually evolving, and the prevalence of sensor fusion and wearable devices compounds the growing attack surface. We propose Scrybe, a permissioned blockchain, to store proof of clinical trial data provenance. We illustrate how Scrybe addresses each control and the limitations of the Ethereum-based blockchains. Finally, we provide a proof-of-concept integration with REDCap to show tamper resistance. [ABSTRACT FROM AUTHOR]

A letter to the editor is presented in response to an article related to the comparison of Staphylococcus aureus bacteremia with patients admitted in hospitals by Chia-Ming Fu et al in the previous issue of the journal.

The table of contents for the June 2013 issue of "Clinical Infectious Diseases" is presented.

The table of contents for the June 2012 issue related to infectious diseases is presented.