目的系统评价重症监护病房(ICU)患者新型冠状病毒感染(COVID-19)相关肺曲霉病(CAPA)感染危险因素。方法计算机检索PubMed、Cochrane Library、Embase、Web of Science、中国知网(CNKI)、万方数据、维普数据库(VIP)中关于ICU患者CAPA感...目的系统评价重症监护病房(ICU)患者新型冠状病毒感染(COVID-19)相关肺曲霉病(CAPA)感染危险因素。方法计算机检索PubMed、Cochrane Library、Embase、Web of Science、中国知网(CNKI)、万方数据、维普数据库(VIP)中关于ICU患者CAPA感染危险因素的研究,检索时限均为建库至2025年3月31日。由2名研究者独立筛选文献与提取资料,采用纽卡斯尔-渥太华(NOS)量表进行质量评价,使用RevMan 5.4软件进行Meta分析。结果共纳入38篇观察性研究,包括11312例患者。Meta分析结果显示,男性、年龄、吸烟、急性生理学与慢性健康状况评分Ⅱ(APACHEⅡ评分)、简化急性生理学评分Ⅱ(SAPSⅡ评分)、肝硬化、糖尿病、慢性阻塞性肺疾病(COPD)、心血管疾病、EORTC/MSGERC宿主因素、实体器官移植、血液系统恶性肿瘤、长期使用糖皮质激素、免疫缺陷、Charlson合并症指数、使用血管活性药物和/或正性肌力药物、接受机械通气、侵入性机械通气、机械通气时间、肾脏替代治疗、白细胞介素-6(IL-6)抑制剂治疗等因素均为ICU患者CAPA感染危险因素。身体质量指数(BMI)高和肥胖均为ICU患者CAPA感染的保护性因素(均P<0.05)。结论ICU患者CAPA感染危险因素较多,及时识别相关危险因素有助于尽早实施规范的抗真菌治疗,从而改善患者预后。展开更多
Global environmental changes including climate warming,extreme weather events,ambient air pollution,freshwater contamination,and landscape transformation are reshaping the epidemiology of infectious diseases with unpr...Global environmental changes including climate warming,extreme weather events,ambient air pollution,freshwater contamination,and landscape transformation are reshaping the epidemiology of infectious diseases with unprecedented complexity,particularly in the post-COVID-19 era.This review synthesizes evidence from the past decade(2015-2024)to systematically elucidate how key environmental drivers modulate pathogen emergence,transmission dynamics,and clinical outcomes,with a focus on underlying mechanistic pathways.Specifically,we highlight:(1)the temperature-and precipitation-dependent transmission of vector-borne diseases(e.g.,malaria,dengue)via expanded vector habitats and accelerated pathogen incubation;(2)the exacerbation of respiratory infections(including COVID-19)by particulate matter(PM2.5)and nitrogen dioxide(NO2)through impaired mucosal immunity and enhanced inflammatory responses;(3)the persistence of diarrheal diseases in low-and middle-income countries(LMICs)linked to water insecurity and climate-induced infrastructure failure;and(4)zoonotic spillover risks amplified by urbanization and deforestation-driven human-wildlife interface disruption.Integrating the One Health socioecological framework,we further summarize methodological advances from high-resolution genomic surveillance to climate-informed machine learning models that have improved causal inference and predictive accuracy.Our synthesis confirms that environmental factors are not merely contextual but central,modifiable determinants of infectious disease risk,with disproportionate impacts on vulnerable populations.To mitigate future threats,we emphasize the urgency of interdisciplinary collaboration,integrated environmental-health monitoring platforms,and climate-resilient public health policies tailored to post-pandemic challenges.This review provides a timely roadmap for translating environmental epidemiology insights into actionable strategies to strengthen global health resilience.展开更多
目的观察温针灸联合刺络拔罐治疗轻型新型冠状病毒(corona virus disease 2019,COVID-19)感染患者的临床疗效。方法将82例COVID-19轻型患者随机分为治疗组和对照组,每组41例。对照组予连花清瘟颗粒口服,治疗组在对照组基础上给予温针灸...目的观察温针灸联合刺络拔罐治疗轻型新型冠状病毒(corona virus disease 2019,COVID-19)感染患者的临床疗效。方法将82例COVID-19轻型患者随机分为治疗组和对照组,每组41例。对照组予连花清瘟颗粒口服,治疗组在对照组基础上给予温针灸联合刺络拔罐治疗。比较两组退热时间,两组治疗前后咳嗽视觉模拟量表(visual analog scale,VAS)、中文版莱塞斯特咳嗽生命质量问卷(Mandarin Chinese version of the Leicester cough questionnaire,LCQ-MC)、咽干/痛缓解程度,并比较两组安全性情况,追踪观察两组患者是否出现“长新冠综合征”和COVID-19二次感染情况。结果两组退热时间比较差异有统计学意义(P<0.05)。两组治疗后咳嗽VAS评分低于治疗前,且治疗组低于对照组,差异有统计学意义(P<0.05)。两组治疗后LCQ-MC评分低于治疗前,且治疗组低于对照组,差异有统计学意义(P<0.05)。两组治疗后咽干/痛程度分布优于治疗前,且治疗组优于对照组,差异有统计学意义(P<0.05)。两组“长新冠综合征”发生率比较差异无统计学意义(P>0.05)。两组COVID-19二次感染率比较差异无统计学意义(P>0.05)。两组疗法安全性均可。结论在口服中成药的基础上,温针灸联合刺络拔罐治疗COVID-19轻型患者在急性期临床疗效显著,安全性高。展开更多
The pandemic of coronavirus disease 2019(COVID-19),caused by a newly identifiedβ-coronavirus(SARS-CoV-2)has emerged as a dire health problem,causing a massive crisis for global health.Primary method of transmission w...The pandemic of coronavirus disease 2019(COVID-19),caused by a newly identifiedβ-coronavirus(SARS-CoV-2)has emerged as a dire health problem,causing a massive crisis for global health.Primary method of transmission was firstly thought to be animal to human transmission.However,it has been observed that the virus is transmitted from human to human via respiratory droplets.Interestingly,SARS-CoV-2 ribonucleic acid(RNA)has been isolated from patient stools,suggesting a possible gastrointestinal(GI)involvement.Most commonly reported clinical manifestations are fever,fatigue and dry cough.Interestingly,a small percentage of patients experience GI symptoms with the most common being anorexia,diarrhea,nausea and vomiting.The presence of viral RNA in stools is also common and fecal tests can be positive even after negative respiratory samples.The exact incidence of digestive symptoms is a matter of debate.The distribution of Angiotensin converting enzyme type 2 receptors in multiple organs in the body provides a possible explanation for the digestive symptoms’mechanism.Cases with solely GI symptoms have been reported in both adults and children.Viral RNA has also been detected in stool and blood samples,indicating the possibility of liver damage,which has been reported in COVID-19 patients.The presence of chronic liver disease appears to be a risk factor for severe complications and a poorer prognosis,however data from these cases is lacking.The aim of this review is firstly,to briefly update what is known about the origin and the transmission of SARS-CoV-2,but mainly to focus on the manifestations of the GI tract and their pathophysiological background,so that physicians on the one hand,not to underestimate or disregard digestive symptoms due to the small number of patients exhibiting exclusively this symptomatology and on the other,to have SARS-CoV-2 on their mind when the“gastroenteritis”type symptoms predominate.展开更多
The study aims to investigate county-level variations of the COVID-19 disease and vaccination rate. The COVID-19 data was acquired from usafact.org, and the vaccination records were acquired from the Ohio vaccination ...The study aims to investigate county-level variations of the COVID-19 disease and vaccination rate. The COVID-19 data was acquired from usafact.org, and the vaccination records were acquired from the Ohio vaccination tracker dashboard. GIS-based exploratory analysis was conducted to select four variables (poverty, black race, population density, and vaccination) to explain COVID-19 occurrence during the study period. Consequently, spatial statistical techniques such as Moran’s I, Hot Spot Analysis, Spatial Lag Model (SLM), and Spatial Error Model (SEM) were used to explain the COVID-19 occurrence and vaccination rate across the 88 counties in Ohio. The result of the Local Moran’s I analysis reveals that the epicenters of COVID-19 and vaccination followed the same patterns. Indeed, counties like Summit, Franklin, Fairfield, Hamilton, and Medina were categorized as epicenters for both COVID-19 occurrence and vaccination rate. The SEM seems to be the best model for both COVID-19 and vaccination rates, with R2 values of 0.68 and 0.70, respectively. The GWR analysis proves to be better than Ordinary Least Squares (OLS), and the distribution of R2 in the GWR is uneven throughout the study area for both COVID-19 cases and vaccinations. Some counties have a high R2 of up to 0.70 for both COVID-19 cases and vaccinations. The outcomes of the regression analyses show that the SEM models can explain 68% - 70% of COVID-19 cases and vaccination across the entire counties within the study period. COVID-19 cases and vaccination rates exhibited significant positive associations with black race and poverty throughout the study area.展开更多
BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has had profound physical,psychological,and social consequences,with lasting effects on health-related quality of life(HRQoL)among people with a history of COV...BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has had profound physical,psychological,and social consequences,with lasting effects on health-related quality of life(HRQoL)among people with a history of COVID-19.AIM To synthesize the current evidence on HRQoL and long-term health outcomes among people with a history of COVID-19 in India.METHODS We incorporated studies from India reporting post-COVID HRQoL outcomes using validated instruments,including the 5-level EuroQol 5-Dimensional questionnaire,the EuroQol Visual Analogue Scale,the Short Form-36 Health Survey,the World Health Organization Quality of Life-Brief Version,and the European Health Interview Survey-Quality of Life.Pooled mean 5-level EuroQol 5-Dimensional questionnaire scores with 95%CIs were calculated for HRQoL.Adjusted odds ratios were pooled for comorbidity,disease severity,intensive care unit admission,age,sex,and vaccination status using random-effects models.RESULTS Three studies(n=1526)reported EuroQol instruments,with the 5-level EuroQol 5-Dimensional questionnaire utility scores suitable for quantitative pooling.The pooled mean utility was 0.83(95%CI:0.75-0.92),although heterogeneity was high because the included studies represented clinically distinct populations.Across all studies,several determinants were consistently associated with impaired HRQoL.Older adults(≥60 years)had higher odds of poor HRQoL[pooled odds ratio(OR)=1.83,95%CI:1.43-2.35],and females were more likely to experience impaired HRQoL(pooled OR=1.74,95%CI:1.44-2.10),whereas males had a lower risk(pooled OR=0.58,95%CI:0.48-0.70).Being unvaccinated increased the likelihood of persistent symptoms or reduced HRQoL(pooled OR=1.60,95%CI:1.21-2.14).Comorbidity(pooled OR=1.94,95%CI:1.43-2.63)and severe acute COVID-19 or intensive care unit admission(pooled OR=2.77,95%CI:2.13-3.59)were also strongly associated with poorer HRQoL Six additional studies utilizing disparate instruments(EuroQol Visual Analogue Scale,Short Form-36 Health Survey,World Health Organization Quality of Life-Brief Version,European Health Interview Survey-Quality of Life)were excluded from quantitative synthesis due to measurement heterogeneity.CONCLUSION Post-COVID HRQoL in people with a history of COVID-19 in India is suboptimal,with greater impairment observed among older adults,females,patients with comorbidities or severe disease,and unvaccinated individuals.These findings highlight the need for targeted rehabilitation and preventive strategies.展开更多
Despite that sleep disturbance and poor neurocognitive performance are common complaints among coronavirus disease 2019(COVID-19)survivors,few studies have focused on the effect of post-COVID-19 sleep disturbance(PCSD...Despite that sleep disturbance and poor neurocognitive performance are common complaints among coronavirus disease 2019(COVID-19)survivors,few studies have focused on the effect of post-COVID-19 sleep disturbance(PCSD)on cognitive function.This study aimed to identify the impact of PCSD on neurocognitive function and explore the associated risk factors for the worsening of this condition.This cross-sectional study was conducted via the web-based assessment in Chinese mainland.Neurocognitive function was evaluated by the modified online Integrated Cognitive Assessment(ICA)and the Number Ordering Test(NOT).Propensity score matching(PSM)was utilized to match the confounding factors between individuals with and without PCSD.Univariate analyses were performed to evaluate the effect of PCSD on neurocognitive function.The risk factors associated with worsened neurocognitive performance in PCSD individuals were explored using binary logistic regression.A total of 8692 individuals with COVID-19 diagnosis were selected for this study.Nearly half(48.80%)of the COVID-19 survivors reported sleep disturbance.After matching by PSM,a total of 3977 pairs(7954 individuals in total)were obtained.Univariate analyses revealed that PCSD was related to worse ICA and NOT performance(P<0.05).Underlying disease,upper respiratory infection,loss of smell or taste,severe pneumonia,and self-reported cognitive complaints were associated with worsened neurocognitive performance among PCSD individuals(P<0.05).Furthermore,aging,ethnicity(minority),and lower education level were found to be independent risk factors for worsened neurocognitive performance in PCSD individuals(P<0.05).PCSD was related to impaired neurocognitive performance.Therefore,appropriate prevention and intervention measures should be taken to minimize or prevent PCSD and eliminate its potential adverse effect on neurocognitive function.展开更多
文摘目的系统评价重症监护病房(ICU)患者新型冠状病毒感染(COVID-19)相关肺曲霉病(CAPA)感染危险因素。方法计算机检索PubMed、Cochrane Library、Embase、Web of Science、中国知网(CNKI)、万方数据、维普数据库(VIP)中关于ICU患者CAPA感染危险因素的研究,检索时限均为建库至2025年3月31日。由2名研究者独立筛选文献与提取资料,采用纽卡斯尔-渥太华(NOS)量表进行质量评价,使用RevMan 5.4软件进行Meta分析。结果共纳入38篇观察性研究,包括11312例患者。Meta分析结果显示,男性、年龄、吸烟、急性生理学与慢性健康状况评分Ⅱ(APACHEⅡ评分)、简化急性生理学评分Ⅱ(SAPSⅡ评分)、肝硬化、糖尿病、慢性阻塞性肺疾病(COPD)、心血管疾病、EORTC/MSGERC宿主因素、实体器官移植、血液系统恶性肿瘤、长期使用糖皮质激素、免疫缺陷、Charlson合并症指数、使用血管活性药物和/或正性肌力药物、接受机械通气、侵入性机械通气、机械通气时间、肾脏替代治疗、白细胞介素-6(IL-6)抑制剂治疗等因素均为ICU患者CAPA感染危险因素。身体质量指数(BMI)高和肥胖均为ICU患者CAPA感染的保护性因素(均P<0.05)。结论ICU患者CAPA感染危险因素较多,及时识别相关危险因素有助于尽早实施规范的抗真菌治疗,从而改善患者预后。
基金the Natural Science Basic Research Program of Shaanxi Province,China[2023-JC-QN-0858]the Free Exploration Program of the Second Affiliated Hospital,School of Medicine,Xi’an Jiaotong University[2020YJ(ZYTS)605]the National Natural Science Foundation of China[81900620].
文摘Global environmental changes including climate warming,extreme weather events,ambient air pollution,freshwater contamination,and landscape transformation are reshaping the epidemiology of infectious diseases with unprecedented complexity,particularly in the post-COVID-19 era.This review synthesizes evidence from the past decade(2015-2024)to systematically elucidate how key environmental drivers modulate pathogen emergence,transmission dynamics,and clinical outcomes,with a focus on underlying mechanistic pathways.Specifically,we highlight:(1)the temperature-and precipitation-dependent transmission of vector-borne diseases(e.g.,malaria,dengue)via expanded vector habitats and accelerated pathogen incubation;(2)the exacerbation of respiratory infections(including COVID-19)by particulate matter(PM2.5)and nitrogen dioxide(NO2)through impaired mucosal immunity and enhanced inflammatory responses;(3)the persistence of diarrheal diseases in low-and middle-income countries(LMICs)linked to water insecurity and climate-induced infrastructure failure;and(4)zoonotic spillover risks amplified by urbanization and deforestation-driven human-wildlife interface disruption.Integrating the One Health socioecological framework,we further summarize methodological advances from high-resolution genomic surveillance to climate-informed machine learning models that have improved causal inference and predictive accuracy.Our synthesis confirms that environmental factors are not merely contextual but central,modifiable determinants of infectious disease risk,with disproportionate impacts on vulnerable populations.To mitigate future threats,we emphasize the urgency of interdisciplinary collaboration,integrated environmental-health monitoring platforms,and climate-resilient public health policies tailored to post-pandemic challenges.This review provides a timely roadmap for translating environmental epidemiology insights into actionable strategies to strengthen global health resilience.
文摘目的观察温针灸联合刺络拔罐治疗轻型新型冠状病毒(corona virus disease 2019,COVID-19)感染患者的临床疗效。方法将82例COVID-19轻型患者随机分为治疗组和对照组,每组41例。对照组予连花清瘟颗粒口服,治疗组在对照组基础上给予温针灸联合刺络拔罐治疗。比较两组退热时间,两组治疗前后咳嗽视觉模拟量表(visual analog scale,VAS)、中文版莱塞斯特咳嗽生命质量问卷(Mandarin Chinese version of the Leicester cough questionnaire,LCQ-MC)、咽干/痛缓解程度,并比较两组安全性情况,追踪观察两组患者是否出现“长新冠综合征”和COVID-19二次感染情况。结果两组退热时间比较差异有统计学意义(P<0.05)。两组治疗后咳嗽VAS评分低于治疗前,且治疗组低于对照组,差异有统计学意义(P<0.05)。两组治疗后LCQ-MC评分低于治疗前,且治疗组低于对照组,差异有统计学意义(P<0.05)。两组治疗后咽干/痛程度分布优于治疗前,且治疗组优于对照组,差异有统计学意义(P<0.05)。两组“长新冠综合征”发生率比较差异无统计学意义(P>0.05)。两组COVID-19二次感染率比较差异无统计学意义(P>0.05)。两组疗法安全性均可。结论在口服中成药的基础上,温针灸联合刺络拔罐治疗COVID-19轻型患者在急性期临床疗效显著,安全性高。
文摘The pandemic of coronavirus disease 2019(COVID-19),caused by a newly identifiedβ-coronavirus(SARS-CoV-2)has emerged as a dire health problem,causing a massive crisis for global health.Primary method of transmission was firstly thought to be animal to human transmission.However,it has been observed that the virus is transmitted from human to human via respiratory droplets.Interestingly,SARS-CoV-2 ribonucleic acid(RNA)has been isolated from patient stools,suggesting a possible gastrointestinal(GI)involvement.Most commonly reported clinical manifestations are fever,fatigue and dry cough.Interestingly,a small percentage of patients experience GI symptoms with the most common being anorexia,diarrhea,nausea and vomiting.The presence of viral RNA in stools is also common and fecal tests can be positive even after negative respiratory samples.The exact incidence of digestive symptoms is a matter of debate.The distribution of Angiotensin converting enzyme type 2 receptors in multiple organs in the body provides a possible explanation for the digestive symptoms’mechanism.Cases with solely GI symptoms have been reported in both adults and children.Viral RNA has also been detected in stool and blood samples,indicating the possibility of liver damage,which has been reported in COVID-19 patients.The presence of chronic liver disease appears to be a risk factor for severe complications and a poorer prognosis,however data from these cases is lacking.The aim of this review is firstly,to briefly update what is known about the origin and the transmission of SARS-CoV-2,but mainly to focus on the manifestations of the GI tract and their pathophysiological background,so that physicians on the one hand,not to underestimate or disregard digestive symptoms due to the small number of patients exhibiting exclusively this symptomatology and on the other,to have SARS-CoV-2 on their mind when the“gastroenteritis”type symptoms predominate.
文摘The study aims to investigate county-level variations of the COVID-19 disease and vaccination rate. The COVID-19 data was acquired from usafact.org, and the vaccination records were acquired from the Ohio vaccination tracker dashboard. GIS-based exploratory analysis was conducted to select four variables (poverty, black race, population density, and vaccination) to explain COVID-19 occurrence during the study period. Consequently, spatial statistical techniques such as Moran’s I, Hot Spot Analysis, Spatial Lag Model (SLM), and Spatial Error Model (SEM) were used to explain the COVID-19 occurrence and vaccination rate across the 88 counties in Ohio. The result of the Local Moran’s I analysis reveals that the epicenters of COVID-19 and vaccination followed the same patterns. Indeed, counties like Summit, Franklin, Fairfield, Hamilton, and Medina were categorized as epicenters for both COVID-19 occurrence and vaccination rate. The SEM seems to be the best model for both COVID-19 and vaccination rates, with R2 values of 0.68 and 0.70, respectively. The GWR analysis proves to be better than Ordinary Least Squares (OLS), and the distribution of R2 in the GWR is uneven throughout the study area for both COVID-19 cases and vaccinations. Some counties have a high R2 of up to 0.70 for both COVID-19 cases and vaccinations. The outcomes of the regression analyses show that the SEM models can explain 68% - 70% of COVID-19 cases and vaccination across the entire counties within the study period. COVID-19 cases and vaccination rates exhibited significant positive associations with black race and poverty throughout the study area.
文摘BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has had profound physical,psychological,and social consequences,with lasting effects on health-related quality of life(HRQoL)among people with a history of COVID-19.AIM To synthesize the current evidence on HRQoL and long-term health outcomes among people with a history of COVID-19 in India.METHODS We incorporated studies from India reporting post-COVID HRQoL outcomes using validated instruments,including the 5-level EuroQol 5-Dimensional questionnaire,the EuroQol Visual Analogue Scale,the Short Form-36 Health Survey,the World Health Organization Quality of Life-Brief Version,and the European Health Interview Survey-Quality of Life.Pooled mean 5-level EuroQol 5-Dimensional questionnaire scores with 95%CIs were calculated for HRQoL.Adjusted odds ratios were pooled for comorbidity,disease severity,intensive care unit admission,age,sex,and vaccination status using random-effects models.RESULTS Three studies(n=1526)reported EuroQol instruments,with the 5-level EuroQol 5-Dimensional questionnaire utility scores suitable for quantitative pooling.The pooled mean utility was 0.83(95%CI:0.75-0.92),although heterogeneity was high because the included studies represented clinically distinct populations.Across all studies,several determinants were consistently associated with impaired HRQoL.Older adults(≥60 years)had higher odds of poor HRQoL[pooled odds ratio(OR)=1.83,95%CI:1.43-2.35],and females were more likely to experience impaired HRQoL(pooled OR=1.74,95%CI:1.44-2.10),whereas males had a lower risk(pooled OR=0.58,95%CI:0.48-0.70).Being unvaccinated increased the likelihood of persistent symptoms or reduced HRQoL(pooled OR=1.60,95%CI:1.21-2.14).Comorbidity(pooled OR=1.94,95%CI:1.43-2.63)and severe acute COVID-19 or intensive care unit admission(pooled OR=2.77,95%CI:2.13-3.59)were also strongly associated with poorer HRQoL Six additional studies utilizing disparate instruments(EuroQol Visual Analogue Scale,Short Form-36 Health Survey,World Health Organization Quality of Life-Brief Version,European Health Interview Survey-Quality of Life)were excluded from quantitative synthesis due to measurement heterogeneity.CONCLUSION Post-COVID HRQoL in people with a history of COVID-19 in India is suboptimal,with greater impairment observed among older adults,females,patients with comorbidities or severe disease,and unvaccinated individuals.These findings highlight the need for targeted rehabilitation and preventive strategies.
基金supported by the National Key R&D Pro-gram of China(No.2021YFC2501500)the National Natural Science Foundation of China(Nos.82271525 and 82071488)the Nanfang Hospital Clinical Research Project of Southern Medical University(No.2021CR009),China。
文摘Despite that sleep disturbance and poor neurocognitive performance are common complaints among coronavirus disease 2019(COVID-19)survivors,few studies have focused on the effect of post-COVID-19 sleep disturbance(PCSD)on cognitive function.This study aimed to identify the impact of PCSD on neurocognitive function and explore the associated risk factors for the worsening of this condition.This cross-sectional study was conducted via the web-based assessment in Chinese mainland.Neurocognitive function was evaluated by the modified online Integrated Cognitive Assessment(ICA)and the Number Ordering Test(NOT).Propensity score matching(PSM)was utilized to match the confounding factors between individuals with and without PCSD.Univariate analyses were performed to evaluate the effect of PCSD on neurocognitive function.The risk factors associated with worsened neurocognitive performance in PCSD individuals were explored using binary logistic regression.A total of 8692 individuals with COVID-19 diagnosis were selected for this study.Nearly half(48.80%)of the COVID-19 survivors reported sleep disturbance.After matching by PSM,a total of 3977 pairs(7954 individuals in total)were obtained.Univariate analyses revealed that PCSD was related to worse ICA and NOT performance(P<0.05).Underlying disease,upper respiratory infection,loss of smell or taste,severe pneumonia,and self-reported cognitive complaints were associated with worsened neurocognitive performance among PCSD individuals(P<0.05).Furthermore,aging,ethnicity(minority),and lower education level were found to be independent risk factors for worsened neurocognitive performance in PCSD individuals(P<0.05).PCSD was related to impaired neurocognitive performance.Therefore,appropriate prevention and intervention measures should be taken to minimize or prevent PCSD and eliminate its potential adverse effect on neurocognitive function.
