First known case of successful pressure ulcer treatment in a lung transplant patient with post-COVID-19 pneumonia.

Given the current COVID-19 crisis, multiple clinical manifestations and related complications of COVID-19 disease, especially in lung transplant patients following post-COVID-19 pneumonia, are a major challenge. Herein, we report the therapeutic course of the first reported case of sacrococcyx pressure ulcers (PU) in a 65-year-old male COVID-19 patient who underwent lung transplantation and developed a PU following surgery. We used a combination of regulated negative pressure-assisted wound therapy system (RNPT, six treatment courses, five days per treatment course), a skin tension-relief system (an intraoperative aid in minimising wounds caused by sacrococcygeal PUs) and a gluteus maximus myocutaneous flap to repair sacrococcygeal wounds. This successfully treated case provides a reference point for the treatment of similar cases.

LDH, CRP and ALB predict nucleic acid turn negative within 14 days in symptomatic patients with COVID-19.

AIMS: To search for biochemical indicators that can identify symptomatic patients with COVID-19 whose nucleic acid could turn negative within 14 days, and assess the prognostic value of these biochemical indicators in patients with COVID-19. PATIENTS AND METHODS: We collected the clinical data of patients with COVID-19 admitted to our hospital, by using logistic regression analysis and AUC curves, explored the relationship between biochemical indicators and nucleic acid positive duration, the severity of COVID-19, and hospital stay respectively. RESULTS: A total of two hundred and thirty-three patients with COVID-19 were enrolled in the study. We found patients whose nucleic acid turned negative within 14 days had lower LDH, CRP and higher ALB (P < 0.05). ROC curve results indicated that lower LDH, TP, CRP and higher ALB predicted the nucleic acid of patients turned negative within 14 days with statistical significance(P < 0.05), AST, LDH, CRP and PCT predicted the severe COVID-19 with statistical significance, and CRP predicted hospital stay >31days with statistical significance (P < 0.05). After verification, the probability of nucleic acid turning negative within 14 days in patients with low LDH (<256 U/L), CRP (<44.5 mg/L) and high ALB (>35.8 g/L) was about 4 times higher than that in patients with high LDH, CRP and low ALB (P < 0.05). CONCLUSIONS: LDH, CRP and ALB are useful prognostic marker for predicting nucleic acid turn negative within 14 days in symptomatic patients with COVID-19.

Early prediction and identification for severe patients during the pandemic of COVID-19: A severe COVID-19 risk model constructed by multivariate logistic regression analysis.

BACKGROUND: As an emergent and fulminant infectious disease, Corona Virus Disease 2019 (COVID-19) has caused a worldwide pandemic. The early identification and timely treatment of severe patients are crucial to reducing the mortality of COVID-19. This study aimed to investigate the clinical characteristics and early predictors for severe COVID-19, and to establish a prediction model for the identification and triage of severe patients. METHODS: All confirmed patients with COVID-19 admitted by the Second Affiliated Hospital of Air Force Medical University were enrolled in this retrospective non-interventional study. The patients were divided into a mild group and a severe group, and the clinical data were compared between the two groups. Univariate and multivariate analysis were used to identify the independent early predictors for severe COVID-19, and the prediction model was constructed by multivariate logistic regression analysis. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of the prediction model and each early predictor. RESULTS: A total of 40 patients were enrolled in this study, of whom 19 were mild and 21 were severe. The proportions of patients with venerable age (≥60 years old), comorbidities, and hypertension in severe patients were higher than that of the mild (P < 0.05). The duration of fever and respiratory symptoms, and the interval from illness onset to viral clearance were longer in severe patients (P < 0.05). Most patients received at least one form of oxygen treatments, while severe patients required more mechanical ventilation (P < 0.05). Univariate and multivariate analysis showed that venerable age, hypertension, lymphopenia, hypoalbuminemia and elevated neutrophil lymphocyte ratio (NLR) were the independent high-risk factors for severe COVID-19. ROC curves demonstrated significant predictive value of age, lymphocyte count, albumin and NLR for severe COVID-19. The sensitivity and specificity of the newly constructed prediction model for predicting severe COVID-19 was 90.5% and 84.2%, respectively, and whose positive predictive value, negative predictive value and crude agreement were all over 85%. CONCLUSIONS: The severe COVID-19 risk model might help clinicians quickly identify severe patients at an early stage and timely take optimal therapeutic schedule for them.

The role of neutrophil-lymphocyte ratio and lymphocyte-monocyte ratio in the prognosis of type 2 diabetics with COVID-19.

OBJECTIVES: To assess the prognostic value of neutrophil-lymphocyte ratio, lymphocyte-monocyte ratio and red cell distribution width in type 2 diabetics with COVID-19. METHODS: We collected the data of type 2 diabetics with COVID-19 treated in our hospital from January 28 to March 15, 2020 and performed a retrospective analysis. Using severity, duration of hospital stay, and the time required for nucleic acid results became negative as prognostic indicators, we explored the relationship between these inflammation-based markers and prognosis of type 2 diabetics with COVID-19. RESULTS: A total of 134 type 2 diabetics with COVID-19 were selected for this study. Correlation analysis showed that NLR, LMR and RDW were correlated with prognosis (P < 0.05). In multivariate regression analysis after controlling for the relevant confounding factors, COVID-19 diabetes patients with higher NLR had heavier severity, longer duration of hospital stay, more time required for nucleic acid results became negative, and heavier hospital expenses (P < 0.05). ROC curve result displayed that higher NLR predicted all prognostic indicators with statistical significance, and lower LMR predicted severe and extremely severe with statistical significance (P < 0.05). CONCLUSIONS: NLR is a more powerful and practical marker for predicting the prognosis of type 2 diabetic COVID-19 patients that is simple and fast.

Clinical significance of nutritional risk screening for older adult patients with COVID-19.

OBJECTIVES: The aim of this study was to assess the nutritional risks among older patients with COVID-19 and their associated clinical outcomes using four nutritional risk screening (NRS) tools: Nutrition Risk Screening 2002 (NRS 2002), Malnutrition Universal Screening Tool (MUST), Mini Nutrition Assessment Shortcut (MNA-sf), and Nutrition Risk Index (NRI). METHODS: We retrospectively analyzed the data of patients with COVID-19 older than 65 years who were treated in our hospital from January 28, 2020 to March 5, 2020, and explored the relationship between nutritional risk and clinical outcomes. RESULTS: A total of 141 patients with COVID-19 (46 common COVID-19, 73 severe COVID-19, and 22 extremely severe COVID-19) were enrolled in the study. NRS 2002 identified 85.8% of patients as having risk, with being identified 41.1% by MUST, 77.3% by MNA-sf, and 71.6% by NRI. The agreement strength was moderate between NRS 2002 and MNA-sf, NRI, fair between MUST and MNA-sf, NRI, fair between MNA-sf and NRI, poor between NRS 2002 and MUST (P < 0.01). After adjustment for confounding factors in multivariate regression analysis, patients in the risk group had significantly longer LOS, higher hospital expenses (except MNA-sf), poor appetite, heavier disease severity, and more weight change(kg) than normal patients by using NRS 2002, MNA-sf, and NRI(P < 0.05). CONCLUSIONS: The NRS 2002, MNA-sf, and NRI are useful and practical tools with respect to screening for patients with COVID-19 who are at nutritional risk, as well as in need of additional nutritional intervention.