Outcomes Among Patients Hospitalized With COVID-19 and Acute Kidney Injury

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Multicenter Clinicopathologic Correlation of Kidney Biopsies Performed in COVID-19 Patients Presenting With Acute Kidney Injury or Proteinuria

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Evaluation of mid- and long-term impact of COVID-19 on male fertility through evaluating semen parameters

BackgroundThe coronavirus disease 2019 (COVID-19) has spread worldwide with alarming levels of spread and severity. The distribution of angiotensin converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2) from bioinformatics evidence, the autopsy report for COVID-19 and the published study on sperm quality indicated COVID-19 could have a negative impact on male fertility. However, whether the negative impact of COVID-19 on male fertility is persistent remains unknown, which requires long-term follow-up investigation.MethodsSemen samples were collected from 36 male COVID-19 patients with a median recovery time of 177.5 days and 45 control subjects. Then, analysis of sperm quality and alterations of total sperm number with recovery time were performed.ResultsThere was no significant difference in semen parameters between male recovered patients and control subjects. And the comparisons of semen parameters between first follow-up and second follow-up revealed no significant difference. In addition, we explored the alterations of sperm count with recovery time. It showed that the group with recovery time of ≥120 and <150 days had a significantly lower total sperm number than controls while the other two groups with recovery time of ≥150 days displayed no significance with controls, and total sperm number showed a significant decline after a recovery time of 90 days and an improving trend after a recovery time of about 150 days.ConclusionsThe sperm quality of COVID-19 recovered patients improved after a recovery time of nearly half a year, while the total sperm number showed an improvement after a recovery time of about 150 days. COVID-19 patients should pay close attention to the quality of semen, and might be considered to be given medical interventions if necessary within about two months after recovery, in order to improve the fertility of male patients as soon as possible.     

COVID-19 Among US Dialysis Patients: Risk Factors and Outcomes From a National Dialysis Provider

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Deceased-Donor Acute Kidney Injury and Acute Rejection in Kidney Transplant Recipients: A Multicenter Cohort

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Characteristics and Outcomes of Individuals With Pre-existing Kidney Disease and COVID-19 Admitted to Intensive Care Units in the United States

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新型冠状病毒肺炎患者鼻咽拭子核酸阴转时间的影响因素

目的:分析新型冠状病毒肺炎(COVID-19)患者鼻咽拭子新型冠状病毒(SARS-CoV-2)核酸阴转时间的影响因素。方法:本项单中心回顾性病例对照研究共收集2020年6月11日至2020年7月1日首都医科大学附属北京地坛医院收治的121例确诊为COVID-19患者的临床资料,采用Cox比例风险回归模型分析COVID-19患者鼻咽拭子SARS-CoV-2核酸阴转时间的独立影响因素。结果:121例COVID-19患者发病至鼻咽拭子核酸检测阴转时间为[27(23,34)]d。多因素Cox回归分析提示年龄>45岁(HR=0.583、95%CI:0.388~0.877、P=0.010)和体温>39℃(HR=0.482、95%CI:0.254~0.914、P=0.025)均为影响SARS-CoV-2核酸阴转时间的独立危险因素;CD8^(+)T细胞>300个/μl(HR=1.708、95%CI:1.102~2.647、P=0.017)均为SARS-CoV-2核酸阴转时间的独立保护因素。结论:年龄>45岁、高热及CD8^(+)T细胞≤300个/μl等预测因子有助于临床医生早期识别可能出现SARS-CoV-2核酸阳性持续时间较长的COVID-19住院患者,促进改善治疗策略及调整隔离方案。     

Chest CT in COVID-19 pneumonia: A review of current knowledge

The current COVID-19 pandemic has highlighted the essential role of chest computed tomography (CT) examination in patient triage in the emergency departments, allowing them to be referred to “COVID” or “non-COVID” wards. Initial chest CT examination must be performed without intravenous administration of iodinated contrast material, but contrast material administration is required when pulmonary embolism is suspected, which seems to be frequent in severe forms of the disease. Typical CT features consist of bilateral ground-glass opacities with peripheral, posterior and basal predominance. Lung disease extent on CT correlates with clinical severity. Artificial intelligence could assist radiologists for diagnosis and prognosis evaluation.     

Imaging of COVID-19: An update of current evidences

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been reported as a global emergency. As respiratory dysfunction is a major clinical presentation of COVID-19, chest computed tomography (CT) plays a central role in the diagnosis and management of patients with COVID-19. Recent advances in imaging approaches using artificial intelligence have been essential as a quantification and diagnostic tool to differentiate COVID-19 from other respiratory infectious diseases. Furthermore, cardiovascular involvement in patients with COVID-19 is not negligible and may result in rapid worsening of the disease and sudden death. Cardiac magnetic resonance imaging can accurately depict myocardial involvement in SARS-CoV-2 infection. This review summarizes the role of the radiology department in the management and the diagnosis of COVID-19, with a special emphasis on ultra-high-resolution CT findings, cardiovascular complications and the potential of artificial intelligence.     

COVID-19: A qualitative chest CT model to identify severe form of the disease

PurposeThe purpose of this study was to identify clinical and chest computed tomography (CT) features associated with a severe form of coronavirus disease 2019 (COVID-19) and to propose a quick and easy to use model to identify patients at risk of a severe form.Materials and methodsA total of 158 patients with biologically confirmed COVID-19 who underwent a chest CT after the onset of the symptoms were included. There were 84 men and 74 women with a mean age of 68 ± 14 (SD) years (range: 24–96 years). There were 100 non-severe and 58 severe cases. Their clinical data were recorded and the first chest CT examination was reviewed using a computerized standardized report. Univariate and multivariate analyses were performed in order to identify the risk factors associated with disease severity. Two models were built: one was based only on qualitative CT features and the other one included a semi-quantitative total CT score to replace the variable representing the extent of the disease. Areas under the ROC curves (AUC) of the two models were compared with DeLong's method.ResultsCentral involvement of lung parenchyma (P < 0.001), area of consolidation (P < 0.008), air bronchogram sign (P < 0.001), bronchiectasis (P < 0.001), traction bronchiectasis (P < 0.011), pleural effusion (P < 0.026), large involvement of either one of the upper lobes or of the middle lobe (P < 0.001) and total CT score ≥ 15 (P < 0.001) were more often observed in the severe group than in the non-severe group. No significant differences were found between the qualitative model (large involvement of either upper lobes or middle lobe [odd ratio (OR) = 2.473], central involvement [OR = 2.760], pleural effusion [OR = 2.699]) and the semi-quantitative model (total CT score ≥ 15 [OR = 3.342], central involvement [OR = 2.344], pleural effusion [OR = 2.754]) with AUC of 0.722 (95% CI: 0.638–0.806) vs. 0.739 (95% CI: 0.656–0.823), respectively (P = 0.209).ConclusionWe have developed a new qualitative chest CT-based multivariate model that provides independent risk factors associated with severe form of COVID-19.     

Incidental diagnosis of Covid-19 pneumonia on chest computed tomography

PurposeThe purpose of this study was to determine the prevalence and imaging characteristics of incidentally diagnosed COVID-19 pneumonia on computed tomography (CT).Materials and methodsThis retrospective study was conducted between March 20th and March 31st, 2020 at Cochin hospital, Paris France. Thoracic CT examinations of all patients referred for another reason than a suspicion of SARS-CoV-2 infection were reviewed. CT images were analyzed by a chest radiologist to confirm the presence of findings consistent with COVID-19 pneumonia and quantify disease extent. Clinical and biological data (C-reactive protein serum level [CRP] and white blood cell count) of patients with CT findings suggestive for COVID-19 pneumonia were retrieved from the electronic medical chart.ResultsDuring the study period, among 205 diagnostic CT examinations, six examinations (6/205, 3%) in 6 different patients (4 men, 2 women; median age, 57 years) revealed images highly suggestive of COVID-19 pneumonia. The final diagnosis was confirmed by RT-PCR. Three inpatients were suspected of extra thoracic infection whereas three outpatients were either fully asymptomatic or presented with fatigue only. All had increased CRP serum level and lymphopenia. Disease extent on CT was mild to moderate in 5/6 patients (83%) and severe in 1/6 patient (17%).ConclusionCumulative incidence of fortuitous diagnosis if COVID-19 pneumonia did not exceed 3% during the highest pandemic phase and was predominantly associated with limited lung involvement.