Conflicts of Interest Anesthesia Practice: Relationships with Industry, Responsibility to the Health Care System, and Research Integrity.

Conflicts of interest (COIs) between clinical obligations and other roles and responsibilities occur throughout health care, including anesthetic practice. In some circumstances, these conflicts are unavoidable. This article describes some of the potential conflicts and explores approaches to managing them in 3 key areas: relationships with industry, responsibility to the health care system, and obligations in research.

Adult intensive care unit admissions with severe COVID-19 infection following emergency Caesarean section deliveries: A case series.

Background: UK data suggest 6% of COVID-19 hospital admissions are either currently pregnant or immediately post-partum. However, the current literature suggests that if COVID-19 occurs in pregnancy, or post-partum, symptoms are mostly mild.

Methods: All COVID-19 admissions to one acute London National Health Service Foundation trust were reviewed since the beginning of the COVID-19 pandemic to 1 May 2020 to establish whether there were any pregnant or immediately post-partum admissions.

Risk of postoperative pulmonary complications in adult surgical patients with metabolic syndrome: a systematic review and meta-analysis protocol.

Background: Metabolic syndrome (MetS) is defined as an accumulation of risk factors that include chronic hypertension, dyslipidaemia, insulin resistance and obesity and leads to an increased risk for diabetes, cardiovascular disease and stroke. MetS is widespread and estimated to affect up to a quarter of the global population. Patients with MetS who undergo surgery are associated with an increased risk of postoperative complications when compared with patients with a non-MetS profile.

Is the Modified Early Warning Score (MEWS) superior to clinician judgement in detecting critical illness in the pre-hospital environment?

Aim: Physiological track and trigger scores have an established role in enhancing the detection of critical illness in hospitalized patients. Their potential to identify individuals at risk of clinical deterioration in the pre-hospital environment is unknown. This study compared the predictive accuracy of the Modified Early Warning Score (MEWS) with current clinical practice.