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Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China 被引量:10
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作者 MA Yan ZHU Dong Shan +62 位作者 CHEN Ren Bo SHI Nan Nan LIU Si Hong FAN Yi Pin wu gui hui YANG Pu Ye BAI Jiang Feng CHEN Hong CHEN Li Ying FENG Qiao GUO Tuan Mao HOU Yong HU gui Fen HU Xiao Mei HU Yun Hong HUANG Jin HUANG Qiu Hua HUANG Shao Zhen JI Liang JIN Hai Hao LEI Xiao LI Chun Yan LI Min Qing LI Qun Tang LI Xian Yong LIU Hong De LIU Jin Ping LIU Zhang MA Yu Ting MAO Ya MO Liu Fen NA hui WANG Jing Wei SONG Fang Li SUN Sheng WANG Dong Ting WANG Ming Xuan WANG Xiao Yan WANG Yin Zhen WANG Yu Dong wu Wei wu Lan Ping XIAO Yan Hua XIE Hai Jun XU Hong Ming XU Shou Fang XUE Rui Xia YANG Chun YANG Kai Jun YUAN Sheng Li ZHANG Gong Qi ZHANG Jin Bo ZHANG Lin Song ZHAO Shu Sen ZHAO Wan Ying ZHENG Kai ZHOU Ying Chun ZHU Jun Teng ZHU Tian Qing ZHANG Hua Min WANG Yan Ping WANG Yong Yan 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2020年第12期893-905,共13页
Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the ris... Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear.Methods A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio(OR) and 95% confidence interval(95% CI) of the associations between comorbidities(cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of COVID-19.Results Overall, 158(13.6%) patients were diagnosed with severe illness and 32(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.30–6.32), type 2 diabetes(T2 DM)(3.57, 2.32–5.49),cardiovascular disease(CVD)(3.78, 1.81–7.89), fatty liver disease(7.53, 1.96–28.96), hyperlipidemia(2.15, 1.26–3.67), other lung diseases(6.00, 3.01–11.96), and electrolyte imbalance(10.40, 3.00–26.10)were independently linked to increased odds of being severely ill. T2 DM(6.07, 2.89–12.75), CVD(8.47,6.03–11.89), and electrolyte imbalance(19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission(5.46,3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes(6.58, 1.46–29.64) within two weeks.Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes. 展开更多
关键词 COMORBIDITIES COVID-19 SEVERITY GENDER Age Treatment outcome
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3-to 24-month Follow-up on COVID-19 with Pulmonary Tuberculosis Survivors after Discharge:Results from a Prospective,Multicenter Study 被引量:1
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作者 WANG Jing Ya ZONG Xing Yu +29 位作者 wu gui hui QI Yuan Lin LI hui Zhen JI Xin Yu TONG Lin ZHANG Lei YANG Ming Bo YANG Pu Ye LI Ji Ke XIAO Fu Rong ZHANG Lin Song HU Yun Hong LIU Hong De XU Shou Fang SUN Sheng wu Wei MAO Ya LI Min Qing HOU Hao Hua GONG Zhao Yuan GUO Yang JIAO Li Wen QIN Jin WANG Ding Yi WANG Fang GUAN Li LIN Gang MA Yan WANG Yan Ping SHI Nan Nan 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2022年第12期1091-1099,共9页
Objective Coronavirus disease 2019(COVID-19)and tuberculosis(TB)are major public health and social issues worldwide.The long-term follow-up of COVID-19 with pulmonary TB(PTB)survivors after discharge is unclear.This s... Objective Coronavirus disease 2019(COVID-19)and tuberculosis(TB)are major public health and social issues worldwide.The long-term follow-up of COVID-19 with pulmonary TB(PTB)survivors after discharge is unclear.This study aimed to comprehensively describe clinical outcomes,including sequela and recurrence at 3,12,and 24 months after discharge,among COVID-19 with PTB survivors.Methods From January 22,2020 to May 6,2022,with a follow-up by August 26,2022,a prospective,multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13 hospitals from four provinces in China.Clinical outcomes,including sequela,recurrence of COVID-19,and PTB survivors,were collected via telephone and face-to-face interviews at 3,12,and 24 months after discharge.Results Thirty-two COVID-19 with PTB survivors were included.The median age was 52(45,59)years,and 23(71.9%)were men.Among them,nearly two-thirds(62.5%)of the survivors were moderate,three(9.4%)were severe,and more than half(59.4%)had at least one comorbidity(PTB excluded).The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6%at 3 months to 15.8%at 24 months,with anxiety having a higher proportion over a follow-up.Cough and amnesia recovered at the 12-month follow-up,while anxiety,fatigue,and trouble sleeping remained after 24months.Additionally,one(3.1%)case presented two recurrences of PTB and no re-positive COVID-19during the follow-up period.Conclusion The proportion of long symptoms in COVID-19 with PTB survivors decreased over time,while nearly one in six still experience persistent symptoms with a higher proportion of anxiety.The recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention. 展开更多
关键词 COVID-19 Pulmonary tuberculosis Long-term SEQUELA RECURRENCE Re-positive
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