Acute Mesenteric Ischemia in a COVID-19 Patient: Delay in Referral and Recommendation for Surgery

Acute mesenteric ischemia and COVID-19: an integrative review of the literature

The novel coronavirus disease 2019 (COVID-19) has spread rapidly around the world after the first cases were reported in December 2019 in China. Despite the prevention of the symptoms presented, extrapulmonary manifestations were identified. In particular, there was an increase in cases of Acute Mesenteric Ischemia (AMI), raising its incidence to 1.9%-3.8% in infected patients. The aim of this study was to investigate the existence of an association between IMA and COVID-19 through the literature. An Integrative Literature Review was carried out. The research question was "mesenteric ischemia in patients with COVID-19: coincidence or association?". After searching the database and applying the inclusion and exclusion criteria, 44 were selected for analysis. COVID-19 was confirmed by RT-PCR and imaging tests, gastrointestinal manifestations, alterations and primarily tomographic imaging findings were identified. Most patients were accelerated to laparotomy. As explanations include direct endothelial and injury by the binding of the ACE-2 virus, between hyperinflammation and hypercoagulability, dysregulation of the renin-angiotensin-aldosterone system and factors associated with the severity of the virus. IMA is an emergency with high associated morbidity and mortality, these cases may be a consequence mainly of the thromboinflammatory mechanism associated with SARS-CoV-2. An early diagnosis, diagnosis and diagnoses are crucial to clinical treatment; an assessment regime should be considered in accordance with current evidence and guidelines.

Determinants of COVID-19 Outcome as Predictors of Delayed Healthcare Services among Adults ≥50 Years during the Pandemic: 2006-2020 Health and Retirement Study

BACKGROUND

The coronavirus disease 19 (COVID-19) was declared a global pandemic on 11 March 2020. To date, a limited number of studies have examined the impact of this pandemic on healthcare-seeking behaviors of older populations. This longitudinal study examined personal characteristics linked to COVID-19 outcomes as predictors of self-reported delayed healthcare services attributed to this pandemic, among U.S. adults, ≥50 years of age.

METHODS

Secondary analyses were performed using cross-sectional data (1413 participants) and longitudinal data (2881 participants) from Health and Retirement Study (HRS) (2006-2018) linked to the 2020 HRS COVID-19 Project (57% female, mean age: 68 years). Demographic, socioeconomic, lifestyle and health characteristics were evaluated in relation to delayed overall, surgical and non-surgical healthcare services ("Since March 2020, was there any time when you needed medical or dental care, but delayed getting it, or did not get it at all?" and "What type of care did you delay") using logistic regression and Ensemble machine learning for cross-sectional data as well as mixed-effects logistic modeling for longitudinal data.

RESULTS

Nearly 32.7% delayed healthcare services, 5.8% delayed surgical services and 31.4% delayed non-surgical services. Being female, having a college degree or higher and 1-unit increase in depression score were key predictors of delayed healthcare services. In fully adjusted logistic models, a history of 1 or 2 cardiovascular and/or metabolic conditions (vs. none) was associated with 60-70% greater odds of delays in non-surgical services, with distinct findings for histories of hypertension, cardiovascular disease, diabetes and stroke. Ensemble machine learning predicted surgical better than overall and non-surgical healthcare delays.

CONCLUSION

Among older adults, sex, education and depressive symptoms are key predictors of delayed healthcare services attributed to the COVID-19 pandemic. Delays in surgical and non-surgical healthcare services may have distinct predictors, with non-surgical delays more frequently observed among individuals with a history of 1 or 2 cardiovascular and/or metabolic conditions.