Articles: coronavirus.
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Tohoku J. Exp. Med. · Jul 2023
Predictors for the Development of Hypoxia or Prolonged Acute Symptoms Among Non-Hospitalized Mild-To-Moderate Patients with Coronavirus Disease 2019.
The coronavirus disease 2019 (COVID-19) pandemic remains a global public health concern. The clinical course and risk of developing severe illness among patients with COVID-19 who are at low-risk of severe COVID-19 remain uncertain. This retrospective cohort study from an isolation facility for low-risk COVID-19 patients in Japan evaluated the potential risks for severe disease with hypoxia (SpO2 ≤ 93%) or experiencing prolonged isolation period longer than 14 days with persistent acute symptoms. ⋯ In summary, 5-10% of low-risk COVID-19 patients later develop hypoxia. Older age and male sex were associated with both the development of hypoxia and prolonged acute symptoms. The unnecessary prescription of antibiotics before COVID-19 diagnosis may prolong COVID-19 symptoms.
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Case Reports
Abdominal compartment syndrome caused by severe acute gastric distension in a patient with COVID-19: A case report.
The clinical manifestation of coronavirus disease 2019 (COVID-19) ranges from asymptomatic to critical. The gastrointestinal (GI) tract is involved in the early stages of the disease and is recognized as an important entry site for the virus. Consequently, GI manifestations are common in patients with COVID-19; however, the GI presentation of COVID-19 in relation to bowel dilatation has rarely been reported. Here, we report a case of acute severe gastric distension resulting in aortic compression and abdominal compartment syndrome (ACS) in a patient with COVID-19. ⋯ ACS is critical, which can be caused by a severe degree of acute gastric distension (AGD). Evacuation of the intraluminal contents is the most efficient management strategy. Prognosis is poor, and most previous studies of the transition from AGD to ACS have reported unfavorable outcomes.
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Psychological and behavioral stress has increased enormously during Coronavirus Disease 2019 (COVID-19) pandemic. However, early prediction and intervention to address psychological distress and suicidal behaviors are crucial to prevent suicide-related deaths. This study aimed to develop a machine algorithm to predict suicidal behaviors and identify essential predictors of suicidal behaviors among university students in Bangladesh during the COVID-19 pandemic. ⋯ The performance evaluation and comparison of the MLM showed that all models behaved consistently and were comparable in predicting suicidal risk. However, the Support Vector Machine was the best and most consistent performing model among all MLMs in terms of accuracy (79%), Kappa (0.59), receiver operating characteristic (0.89), sensitivity (0.81), and specificity (0.81). Support Vector Machine is the best-performing model for predicting suicidal risks among university students in Bangladesh and can help in designing appropriate and timely suicide prevention interventions.
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The COVID-19 Vaccine Introduction and deployment Costing (CVIC) tool was developed to assist countries to estimate incremental financial costs to roll out COVID-19 vaccines. This article describes the purposes, assumptions and methods used in the CVIC tool and presents the estimated financial costs of delivering COVID-19 vaccines in the Lao People's Democratic Republic (Lao PDR). ⋯ With the CVIC tool, costs of five scenarios were estimated with different target population and booster dose use. These facilitated Lao PDR to refine their strategic planning for COVID-19 vaccine rollout and to decide on the level of external resources needed to mobilize and support outreach services. The results may further inform inputs in cost-effectiveness or cost-benefit analyses and potentially be applied and adjusted in similar low- and middle-income settings.