Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China.

Previous Studies, such as the evaluation of the supply of and demand for regional medical resources and carrying capacity assessments, require further development. This paper aims to evaluate the carrying capacity and spatial distribution of medical resources in Shenzhen from the perspective of supply and demand, and to conduct a time-series variation of the coupling coordination degree from 1986 to 2019. The two-step floating catchment area method was employed to quantify the carrying capacity and coupling coordination degree method and spatial autocorrelation analysis were applied to analyze spatial distribution between supply and demand. The results were as follows. (1) The carrying capacity index in more than 50% of the districts was classified as low-grade. The percentage of regions with good grades was 8.27%. The regions with a high carrying capacity were distributed in the central and southeastern areas. (2) The coupling coordination continued to rise, increasing from 0.03397 in 1986 to 0.33627 in 2019. (3) The level of supply and demand for medical resources in Shenzhen increased from 1986 to 2019, and the highest degree of compatibility between the supply and the population size was largely concentrated in the western and eastern regions. This research can provide a theoretical reference for Shenzhen to rationally plan medical resources and improve the carrying capacity of medical resources.

Early Prediction of Disease Progression in Patients with Severe COVID-19 Using C-Reactive Protein to Albumin Ratio.

BACKGROUND: Early identification of patients with severe coronavirus disease (COVID-19) at an increased risk of progression may promote more individualized treatment schemes and optimize the use of medical resources. This study is aimed at investigating the utility of the C-reactive protein to albumin (CRP/Alb) ratio for early risk stratification of patients. METHODS: We retrospectively reviewed 557 patients with COVID-19 with confirmed outcomes (discharged or deceased) admitted to the West Court of Union Hospital, Wuhan, China, between January 29, 2020 and April 8, 2020. Patients with severe COVID-19 (n = 465) were divided into stable (n = 409) and progressive (n = 56) groups according to whether they progressed to critical illness or death during hospitalization. To predict disease progression, the CRP/Alb ratio was evaluated on admission. RESULTS: The levels of new biomarkers, including neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, CRP/Alb ratio, and systemic immune-inflammation index, were higher in patients with progressive disease than in those with stable disease. Correlation analysis showed that the CRP/Alb ratio had the strongest positive correlation with the sequential organ failure assessment score and length of hospital stay in survivors. Multivariate logistic regression analysis showed that percutaneous oxygen saturation (SpO2), D-dimer levels, and the CRP/Alb ratio were risk factors for disease progression. To predict clinical progression, the areas under the receiver operating characteristic curves of Alb, CRP, CRP/Alb ratio, SpO2, and D-dimer were 0.769, 0.838, 0.866, 0.107, and 0.748, respectively. Moreover, patients with a high CRP/Alb ratio (≥1.843) had a markedly higher rate of clinical deterioration (log - rank p < 0.001). A higher CRP/Alb ratio (≥1.843) was also closely associated with higher rates of hospital mortality, ICU admission, invasive mechanical ventilation, and a longer hospital stay. CONCLUSION: The CRP/Alb ratio can predict the risk of progression to critical disease or death early, providing a promising prognostic biomarker for risk stratification and clinical management of patients with severe COVID-19.

Cardiovascular complications of SARS-CoV-2 infection (COVID-19): a systematic review and meta-analysis.

Coronavirus Disease 2019 (COVID-19) originated in Wuhan, China in December 2019 and rapidly spread worldwide. Herein, we conducted a systematic review and meta-analysis to find the association between COVID-19 and cardiovascular complications. We conducted a systematic literature search of the PubMed and Embase databases from 01 December 2019 to 30 November 2020. We then statistically analyzed the incidence of cardiovascular complications in COVID-19 patients. We included 3044 confirmed COVID-19 cases from 12 studies. The most common cardiovascular complications in COVID-19 patients were myocardial injury (21.2%, 95% CI 12.3-30.0%) and arrhythmia (15.3%, 95% CI 8.4-22.3%), followed by heart failure (14.4%, 95% CI 5.7-23.1%) and acute coronary syndrome (1.0%, 95% CI 0.5-1.5%). The pooled incidence of heart failure, arrhythmia and myocardial injury in non-survivors were 47.8% (95% CI 41.4-54.2%), 40.3% (95% CI 1.6-78.9%) and 61.7% (95% CI 46.8-76.6%), respectively. Also, the data separately showed significantly higher incidence of heart failure and cardiac injury in non-survivors (relative risks = 5.13, 95% CI 2.46-10.7, Z = 4.36, P = 0.017) and (relative risks = 6.91, 95% CI 3.19-14.95, Z = 4.91, P = 0.009). Myocardial injury and arrhythmia were the most common complications in COVID-19 patients. Myocardial injury and heart failure were more common in patients who died, regardless of a history of cardiovascular disease. The incidence of heart failure and myocardial injury were higher in non-survivors compared to the survivors. Accordingly, in addition to basic support, cardiac reactions of patients with confirmed COVID-19 with or without underlying cardiovascular diseases should be closely monitored.