Impact of hospital strain on excess deaths during the COVID-19 pandemic-United States, july 2020-july 2021.

This article describes the excess deaths observed when hospitals are strained by COVID-19 admissions, as defined by intensive care unit bed occupancy. Specifically, when intensive care unit bed occupancy reaches 75% of capacity, there are an estimated 12,000 additional excess deaths; when hospitals exceed 100% of their intensive care unit bed capacity, approximately 80,000 excess deaths are expected in the following 2 weeks nationally. This report suggests that all patient populations, including transplant candidates and recipients, will experience additional excess deaths when there is increased strain on hospitals due to COVID-19 surges.

Impact of Hospital Strain on Excess Deaths During the COVID-19 Pandemic - United States, July 2020-July 2021.

Surges in COVID-19 cases have stressed hospital systems, negatively affected health care and public health infrastructures, and degraded national critical functions (1,2). Resource limitations, such as available hospital space, staffing, and supplies led some facilities to adopt crisis standards of care, the most extreme operating condition for hospitals, in which the focus of medical decision-making shifted from achieving the best outcomes for individual patients to addressing the immediate care needs of larger groups of patients (3). When hospitals deviated from conventional standards of care, many preventive and elective procedures were suspended, leading to the progression of serious conditions among some persons who would have benefitted from earlier diagnosis and intervention (4).

Socioeconomic Status and Biological Risks for Health and Illness Across the Life Course.

Objectives: We assess the temporal properties and biosocial mechanisms underlying the associations between early-life socioeconomic status (SES) and later health. Using a life-course design spanning adolescence to older adulthood, we assess how early life and various dimensions of adult SES are associated with immune and metabolic function in different life stages and examine possible bio-behavioral and psychosocial mechanisms underlying these associations.

Method: Data for this study come from 3 national studies that collectively cover multiple stages of the life course (Add Health, MIDUS, and HRS).

Young Adult Risk Factors for Cancer: Obesity, Inflammation, and Sociobehavioral Mechanisms.

Introduction: The paper assesses social disparities in the burdens of metabolic and inflammatory risks for cancer in the U.S. young adult population and examines psychosocial and behavioral mechanisms in such disparities.