scholarly journals Clinical characteristics and factors affecting the duration of positive nucleic acid test for patients of COVID‐19 in XinYu, China

2020 ◽  
Vol 34 (10) ◽  
Author(s):  
Jingjing Lu ◽  
Qi Yin ◽  
Quan Li ◽  
Gang Fu ◽  
Xueping Hu ◽  
...  
2020 ◽  
Author(s):  
Han Zhang ◽  
Lian Lu ◽  
Wei Hu ◽  
Jian Zhang ◽  
Wei Zhu ◽  
...  

Abstract In order to identify the clinical characteristics of patients with Corona Virus Disease 2019 (COVID-19) and find out the characteristic effects of 2019 New Coronavirus (SARS-CoV-2) infection on changes in clinical and laboratory data, we analyzed the medical records of 80 suspected cases who admitted in the national designated hospital due to the relevant clinical manifestations of SARS-CoV-2 infection from January 22 to February 13, 2020. 62 (77.5%) confirmed cases and 18 (22.5%) negative cases were confirmed by SARS-CoV-2 nucleic acid test. Epidemiological investigation and statistical analysis were carried out on the clinical and laboratory data of all suspected cases of COVID-19, the specific indicators were found, and the clinical characteristics of COVID-19 were described. Compared with the patients with negative nucleic acid test, the patients with positive nucleic acid test showed shorter time of onset of symptoms, higher plasma CO2 level, lower eosinophil ratio, lower platelet count and hematocrit, lower serum sodium level, higher serum creatinine, higher blood urea and plasma albumin levels (all P<0.05). Our results might provide some suggestions in diagnosis, clinical treatment and prevention for COVID-19.


2020 ◽  
Author(s):  
Jiangrong Liao ◽  
Yueyan Lou ◽  
Shuoyan Lu ◽  
Xueyun Xian ◽  
Xiulin Wu ◽  
...  

Abstract Background: To describe the clinical characteristics and the time of nucleic acid turning negative in patients with common type Corona Virus Disease 2019(COVID-19) pneumonia and analyze the treatment time and prognostic factors.Methods: It’s a retrospective analysis of 72 cases of common type COVID-19 pneumonia diagnosed by nucleic acid test and Computed tomography (CT).Results: The average time of nucleic acid test turning negative is 17.37±9.29 days, and the average treatment time was 23.74±8.06 days. There was no influence of Blood leukocyte count, Neutrophil count, lymphocyte count, C-reactive protein (CRP), glutamic-pyruvic transaminase (ALT), glutamic oxalacetic transaminase (AST), creatinine, D-dimer on the prognosis of the patients, whether univariate or multivariate logistic regression analysis. By χ2 test of the drugs and prognosis, we found that oseltamivir may have an impact on the prognosis of patients (P<0.05), while other drugs have no significant impact on the prognosis of patients. Through the correlation analysis, we found that age, the admission temperature, leukocyte count, neutrophil count, CRP were positively correlated with the treatment time of the patients (both P<0.05). Leukocyte count and neutrophil count were positively correlated with the time of nucleic acid test turning negative (both P<0.05).Conclusions: Age, the admission temperature, leukocyte count, neutrophil count, CRP were positively correlated with the treatment time of the patients. Leukocyte count and neutrophil count were positively correlated with the time of nucleic acid test turning negative. Oseltamivir may have an impact on the prognosis of patients, but the detailed role needs further study.


2020 ◽  
Author(s):  
Xiao-Jin Li ◽  
Bing-Xing Shuai ◽  
Zhong-Wei Zhang ◽  
Yan Kang

Background and ObjectiveSince the outbreak of coronavirus disease 2019 (COVID-19) in December 2019 in Wuhan, Hubei Province, China, it has spread throughout the world and become a global public health emergency. It is important to distinguish COVID-19 from other viral pneumonias to properly screen and diagnose patients, reduce nosocomial infections, and complement the inadequacy of nucleic acid testing. In this study, we retrospectively analysed the clinical data of COVID-19 versus non-COVID-19 patients treated at our hospital between January 17 and February 27, 2020 to summarize our clinical experience in the differential diagnosis of COVID-19.MethodsIn this retrospective cohort study, 23 confirmed COVID-19 patients were consecutively enrolled from January 17 to February 27, 2020, and 29 confirmed non-COVID-19 patients were enrolled in the West China Hospital of Sichuan University. We collected baseline data, epidemiological data, clinical characteristics, imaging findings, viral nucleic acid test results, and survival data. SPSS v22.0 was used for the statistical analysis. Outcomes were followed-up until March 25.ResultsA total of 52 patients were included in this study, including 23 COVID-19 patients and 29 non-COVID-19 patients. No significant between-group differences were observed for age, sex, primary signs or symptoms, cellular immunity, or platelet count. Significant between-group differences were observed in clinical characteristics such as dry cough, contact with individuals from Wuhan, some underlying diseases, nucleated cell count, chest imaging findings, viral nucleic acid test results, 28-day mortality, and 28-day survival.ConclusionEpidemiological data, clinical symptoms, nucleic acid test results for COVID-19 and chest CT manifestation may help distinguish COVID-19 from non-COVID-19 cases, prevent imported cases and nosocomial infections.


2020 ◽  
Author(s):  
Han Zhang ◽  
Lian Lu ◽  
Wei Hu ◽  
Jian Zhang ◽  
Wei Zhu ◽  
...  

Abstract Objectives In order to identify the clinical characteristics of patients with Corona Virus Disease 2019 (COVID-19) and find out the characteristic effects of 2019 New Coronavirus (SARS-CoV-2) infection on changes in clinical and laboratory data. Patients and methods From January 22 to February 13, 2020, we enrolled consecutive patients with acute respiratory tract symptoms admitted to a hospital (Ezhou, Hubei, China). For different data types t-test, the variables associated with the diagnosis of COVID-19 were compared by chi-square test and u-test, the statistically significant variables (P-value<0.05) were selected into the final logistic regression model. Results 62 (77.5%) confirmed cases and 18 (22.5%) negative cases were confirmed by SARS-CoV-2 nucleic acid test. Epidemiological investigation and statistical analysis were carried out on the clinical and laboratory data of all suspected cases of COVID-19, the specific indicators were found, and the clinical characteristics of COVID-19 were described. Compared with the patients with negative nucleic acid test, the patients with positive nucleic acid test showed shorter time of onset of symptoms, higher plasma CO2 level, lower eosinophil ratio, lower platelet count and hematocrit, lower serum sodium level, higher serum creatinine, higher blood urea and plasma albumin levels (all P<0.05). Conclusions we argue that the SARS-CoV-2 infection can cause multiple organ damage to the heart, liver, kidney and bone marrow other than lung injury.


2020 ◽  
Author(s):  
Yun Yu ◽  
Di Zhang ◽  
Guoxi Chen ◽  
Xing Lan ◽  
Min Hou ◽  
...  

2020 ◽  
Vol 71 (15) ◽  
pp. 706-712 ◽  
Author(s):  
Jian Wu ◽  
Jun Liu ◽  
Xinguo Zhao ◽  
Chengyuan Liu ◽  
Wei Wang ◽  
...  

Abstract Background We aimed to report the clinical characteristics of imported cases of coronavirus disease 2019 (COVID-19) in Jiangsu Province. Methods We retrospectively investigated the clinical, imaging, and laboratory characteristics of confirmed cases of COVID-19 with World Health Organization interim guidance in 3 grade IIIA hospitals of Jiangsu from 22 January to 14 February 2020. Real-time RT-PCR was used to detect the new coronavirus in respiratory samples. Results Of the 80 patients infected with COVID-19, 41 were female, with a median age of 46.1 years. Except for 3 severe patients, the rest of the 77 patients exhibited mild or moderate symptoms. Nine patients were unconfirmed until a third nucleic acid test; 38 cases had a history of chronic diseases. The main clinical manifestations of the patients were fever and cough, which accounted for 63 (78.75%) and 51 (63.75%) cases, respectively. Only 3 patients (3.75%) showed liver dysfunction. Imaging examination showed that 55 patients (68.75%) showed abnormal density shadow and 25 cases (31.25%) had no abnormal density shadow in the parenchyma of both lungs. Currently, 21 cases have been discharged from the hospital, and no patient died. The average length of stay for discharged patients was 8 days. Conclusions Compared with the cases in Wuhan, the cases in Jiangsu exhibited mild or moderate symptoms and no obvious gender susceptibility. The proportion of patients having liver dysfunction and abnormal CT imaging was relatively lower than that in Wuhan. Notably, infected patients may be falsely excluded based on 2 consecutively negative respiratory pathogenic nucleic acid test results.


2020 ◽  
Vol 221 (12) ◽  
pp. 1940-1947 ◽  
Author(s):  
Yanfeng Pan ◽  
Xue Yu ◽  
Xinwei Du ◽  
Qingqing Li ◽  
Xianyang Li ◽  
...  

Abstract Background We retrospectively analyzed 26 persistently asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) carriers. Methods Epidemiological and clinical characteristics from the 26 asymptomatic patients with positive results for SARS-CoV-2 ribonucleic acid testing were obtained. Results Twenty-two patients (84.6%) correlated with clustering occurrence. The median period from contact to diagnosis and the last positive nucleic acid test was 19 (8–24 days) and 21.5 days (10–36 days), respectively. The median period from diagnosis to negative nucleic acid test was significantly different between patients with normal or atypical chest computed tomography (CT) findings (n = 16, 61.5%; 7.5 days [2–20 days]) and patients with typical ground-glass or patchy opacities on CT (n = 10, 38.5%; 12.5 days [8–22 days]; P &lt; .01). Seven patients (70.0%) with initial positive nucleic acid test results had a negative result simultaneously with improved CT findings. Obvious improvement in CT findings was observed in 3 patients (30.0%) despite positive nucleic acid test results. Conclusions In asymptomatic patients, changes in biochemical and inflammatory variables are small and changes on chest CT can occur. It is worth noting that the long existence of SARS-CoV-2 in some asymptomatic patients and false-negative results need to be considered in SARS-CoV-2 nucleic acid test.


Author(s):  
Ying Su ◽  
Ling-Shuang Zhu ◽  
Yong Gao ◽  
Yuncheng Li ◽  
Zhanlu Xiong ◽  
...  

AbstractBackgroundWith coronavirus disease 2019 (Covid-19) ravaging the global, concern has been aroused whether discharged Covid-19 patients with reappeared positive nucleic acid test results are infected again.ObjectiveTo analyze the clinical characteristics of discharged Covid-19 patients with reappeared positive nucleic acid test results and to track clinical outcomes of them.MethodsWe extracted clinical data on 938 Covid-19 patients from Wuhan Union Hospital (West Branch), and we obtained information about residual symptoms and nucleic acid tests after discharge through follow-up study. We evaluated the relationship of clinical characteristics and reappeared positive results. Each patient had at least 44 days of follow-up.ResultsOf 938 discharged patients, a total of 58 (6.2%) had reappeared positive nucleic acid test results and 880 remain negative. Among patients over the age of 50, the factors we found to be associated with re-positive results were coronary artery disease (14.1%, vs. 5.5% among those without coronary artery disease; odds ratio, 2.81; 95% confidence interval [CI], 1.28 to 6.15), and hypertension (9.5%, vs. 4.9% among those without hypertension; odds ratio, 2.05; 95% CI, 1.10 to 3.82). As of May 11, 2020, 54 (93.1%) re-positive patients turned negative again while two patients remained positive, and two patients was lost to the second follow-up.ConclusionCoexisting diseases including coronary artery disease and hypertension were substantial risk factors for re-positive outcomes among patients over 50. And most re-positive patients tended to return negative eventually.


2020 ◽  
Author(s):  
Yucai Hong ◽  
Jianping Huang ◽  
Dong Chen ◽  
Yinghai Ye ◽  
Feifei Su ◽  
...  

Abstract Importance: Clinical characteristics of coronavirus disease 2019 (COVID-19) outside Wuhan are not well described, and there is no risk stratification tool for the prediction of COVID-19 outcome.Objective: To describe the clinical characteristics of COVID-19 outside Wuhan and to develop a risk stratification tool for early risk stratification.Design, Setting, and Participants: Single center, retrospective observational study conducted at Wenzhou, Zhejiang province (January 2020-February 2020) that included 140 patients with confirmed COVID-19. Clinical characteristics were described. A multivariate regression model was built to predict the risk of length of stay in hospital > 20 days (ProLOS). The last patient visit was on February 23, 2020.Interventions: NoneMain Outcomes and Measures: The primary outcome was ProLOS. Other outcomes included conversion to negative nucleic acid test, date of hospital discharge, vital status at discharge.Results: A total of 140 patients were included during the study period. Lower lymphocyte count (1.0 [0.7, 1.3] vs. 1.3 [0.9, 1.72] × 109/𝐿; p = 0.008), lower ionized sodium (136 [134.6, 137.83] vs. 138 [135.28, 140.03] mmol/L; p < 0.001) and higher PaCO2 (40.82 ± 3.96 vs. 38.48 ± 5.48 mmHg; p = 0.007) were associated with higher risk of ProLOS. The median time from hospital admission to the first negative nucleic acid test was 13 days (7.25 to 17 days). There were 4 (3%) critically and 5 (4%) severely ill patients. A multivariate model included predictors of age, time from contact to confirmation, DBP, lymphocyte count, AST, ionized sodium, PaCO2 showed good calibration and discrimination with an AUC of 81.6% (95% CI: 74.4% to 88.8%).Conclusions and Relevance: The study described clinical characteristics of COVID-19 outside Wuhan. The major difference of COVID-19 in other cities included low comorbidity burden, low prevalence of severe or critical cases and low mortality rate. The risk stratification tool can be used for medical decision making and resource allocation.Authors Yucai Hong and Jianping Huang contributed equally to this work and are co-first authors.


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