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1.
Integrative Medicine in Nephrology and Andrology ; 8(1):1-8, 2021.
Article in English | EuropePMC | ID: covidwho-1871777

ABSTRACT

Background and Objectives: Chronic kidney disease (CKD) and acute kidney injury (AKI) increase the risk of serious disease and mortality in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-infected patients. This study evaluated the occurrence and outcome of AKI in CKD and non-CKD patients infected with SARS-CoV-2. Subjects and Methods: We retrospectively analyzed the medical records of 845 patients with SARS-CoV-2 infection regarding the occurrence and outcome of AKI in a coronavirus disease-2019 (COVID-19)-designated hospital in Wuhan, China, from December 31, 2019, to March 20, 2020. Results: Of the 845 COVID-19 patients, 91 had CKD and 754 had no CKD (non-CKD), of whom 22 and 14 developed AKI, respectively. Finally, 36 patients were included in the analysis. Older patients and those with cardiovascular or cerebrovascular diseases were more likely to develop AKI. More CKD patients progressed to critical illness (72.73%) than non-CKD patients (57.14%), but the degree of AKI in CKD patients was lesser than that in non-CKD patients. Higher urea nitrogen, creatinine, and proteinuria levels were observed in CKD patients. More non-CKD patients were treated with human albumin than CKD patients. The survival probability of CKD patients was lower than that of non-CKD patients, but it was not statistically significant. Conclusion: There were significant differences in the incidence rate of AKI after SARS-CoV-2 infection between CKD and non-CKD patients, and the clinical manifestations and treatments of AKI also differed. These results highlight the necessity of variable treatment methods for optimal clinical management.

2.
Aging Dis ; 13(3): 884-898, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1870135

ABSTRACT

COVID-19 emerged in Wuhan in December 2019 and soon became a worldwide pandemic. We collected and analyzed the data from 1077 patients with COVID-19 who were admitted to the west campus of Wuhan Union Hospital from January 16 to April 16, 2020. Sixty (5.6%) of the 1077 COVID-19 patients were diagnosed with acute kidney injury (AKI) during hospitalization, and 18 of them (30%) had AKI on chronic kidney disease (AKI/CKD). COVID-19 patients with AKI had a worse prognosis, with higher intensive care unit (ICU) admission (28.3%) and fatality (65%) rates than patients without AKI (3.4% and 10.7%, respectively). Among the COVID-19 patients, AKI was more likely to occur in male patients, the elderly, patients with more severe disease states and those with comorbidities (such as hypertension, diabetes, coronary heart disease (CHD), chronic obstructive pulmonary disease (COPD) and CKD). COVID-19 patients with AKI were more likely to develop respiratory failure, gastrointestinal bleeding, acute liver injury, acute myocardial injury, heart failure, acute respiratory distress syndrome (ARDS), cerebrovascular accident, and disseminated intravascular coagulation (DIC) than those without AKI. Compared with patients without AKI, COVID-19 patients with AKI had lower platelet counts, lymphocyte counts, albumin levels and serum calcium levels but had elevated leukocyte counts, neutrophil counts and serum potassium levels. Inflammatory indicators, such as C-reactive protein (CRP), interleukin-6 (IL-6), and procalcitonin (PCT), were significantly higher in patients with AKI than in those without AKI. COVID-19 patients with AKI also exhibited a longer prothrombin time (PT), a longer activated partial thromboplastin time (APTT), and a higher D-dimer level than those without AKI. Survival analysis revealed that COVID-19 patients with AKI had a reduced survival rate compared with those without AKI. Furthermore, COVID-19 patients with AKI/CKD had a lower survival rate than those with AKI or CKD only. Multiple logistic regression indicated that the predictors of AKI in COVID-19 patients included complications, such as respiratory failure and acute myocardial injury, and higher creatinine and PCT levels during hospitalization.

4.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-322466

ABSTRACT

Objective: To explore the possibility of predicting the clinical types of Corona-Virus-Disease-2019(COVID-19) pneumonia by analyzing the non-focus area of the lung in the first chest CT image of patients with COVID-19 by using automatic machine learning (Auto-ML). Methods: 136 moderate and 83 severe patients were selected from the patients with COVID-19 pneumonia. The clinical and laboratory data were collected for statistical analysis. The texture features of the Non-focus area of the first chest CT of patients with COVID-19 pneumonia were extracted, and then the classification model of the first chest CT of COVID-19 pneumonia was constructed by using these texture features based on the Auto-ML method of radiomics, The area under curve(AUC), true positive rate(TPR), true negative rate(TNR), positive predictive value(PPV) and negative predictive value(NPV) of the operating characteristic curve (ROC) were used to evaluate the accuracy of the first chest CT image classification model in patients with COVID-19 pneumonia. Result: The TPR, TNR, PPV, NPV and AUC of the training cohort and test cohort of the moderate group and the control group, the severe group and the control group, the moderate group and the severe group were all greater than 95% and 0.95 respectively. Conclusion: The non-focus area of the first CT image of COVID-19 pneumonia has obvious difference in different clinical types. The AUTO-ML classification model of Radiomics based on this difference can be used to predict the clinical types of COVID-19 pneumonia.

5.
7.
Zool Res ; 42(5): 626-632, 2021 Sep 18.
Article in English | MEDLINE | ID: covidwho-1414833

ABSTRACT

Viruses can be transmitted from animals to humans (and vice versa) and across animal species. As such, host-virus interactions and transmission have attracted considerable attention. Non-human primates (NHPs), our closest evolutionary relatives, are susceptible to human viruses and certain pathogens are known to circulate between humans and NHPs. Here, we generated global statistics on VI-NHPs based on a literature search and public data mining. In total, 140 NHP species from 12 families are reported to be infected by 186 DNA and RNA virus species, 68.8% of which are also found in humans, indicating high potential for crossing species boundaries. The top 10 NHP species with high centrality in the NHP-virus network include two great apes (Pan troglodytes, Pongo pygmaeus) and eight Old World monkeys (Macaca mulatta, M. fascicularis, M. leonina, Papio cynocephalus, Cercopithecus ascanius, C. erythrotis, Chlorocebus aethiops, and Allochrocebus lhoesti). Given the wide distribution of Old World monkeys and their frequent contact with humans, there is a high risk of virus circulation between humans and such species. Thus, we suggest recurring epidemiological surveillance of NHPs, specifically Old World monkeys that are in frequent contact with humans, and other effective measures to prevent potential circulation and transmission of viruses. Avoidance of false positives and sampling bias should also be a focus in future work.


Subject(s)
Conservation of Natural Resources , Primates/virology , Public Health , Virus Diseases/veterinary , Viruses/classification , Animals , Animals, Wild , Global Health , Virus Diseases/epidemiology , Virus Diseases/virology
8.
Int Urol Nephrol ; 54(2): 411-419, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1274907

ABSTRACT

BACKGROUND: The impact of Coronavirus disease (COVID-19) pandemic and its influence on personal hygiene behaviors and peritonitis rate in peritoneal-dialysis patients is unknown. METHODS: A multi-center retrospective study was conducted. We reviewed all the cases of peritoneal-dialysis (PD) patients from four major PD centers in Wuhan before and after COVID-19. There were 567 patients enrolled in total. Information was collected on personal hygiene behaviors, basic clinical characteristics, lab results, peritonitis details. We used Chi-square analysis to compare the personal hygiene behaviors, and used Chi-square goodness-of-fit analysis to compare the peritonitis rates before and after COVID-19. Multivariate logistic regression analysis was used to analyze the risk factors for peritonitis rate. RESULTS: There were no significant differences on peritonitis rates in six-month period before and after COVID-19 (p = 0.0756, Fig. 2 and Table 3). But Gram-positive infections decreased dramatically (p = 0.0041, Table 4). Personal hygiene behaviors such as length of time for washing hands when performing PD treatment, the frequency of washing hands before PD treatment and six general behaviors had significant differences (P < 0.05 Table 2). The multivariate logistic regression analysis showed never washing hands before PD treatment and serum albumin level were the risk factors of peritonitis during COVID-19 (OR 14.408, 95%CI 3.930 -52.821, P = 0.0002; OR 4.681, 95% CI 1.755 -12.485, P = 0.002, Table 5). CONCLUSIONS: The COVID-19 pandemic had a significant positive influence on personal hygiene behaviors. Peritonitis rate did not significantly decrease but Gram-positive infections dramatically decreased. Never hand washing before PD treatment and serum albumin were the risk factors for peritonitis. We should emphasize hand washing before PD treatment in training and re-training program.


Subject(s)
COVID-19/epidemiology , Hygiene , Kidney Failure, Chronic/psychology , Kidney Failure, Chronic/therapy , Peritoneal Dialysis , Peritonitis/epidemiology , Adult , Aged , COVID-19/prevention & control , COVID-19/transmission , China , Female , Habits , Health Behavior , Humans , Incidence , Logistic Models , Male , Middle Aged , Peritonitis/diagnosis , Retrospective Studies
9.
Semin Dial ; 35(1): 71-80, 2022 01.
Article in English | MEDLINE | ID: covidwho-1276770

ABSTRACT

INTRODUCTION: Maintenance hemodialysis (MHD) patients are highly threatened in the novel coronavirus disease 2019 (COVID-19) pandemic, but evidence of risk factors for mortality in this population is still lacking. METHODS: We followed outcomes of the overall MHD population of Wuhan, including 7154 MHD patients from 65 hemodialysis centers, from January 1 to May 4, 2020. Among them, 130 were diagnosed with COVID-19. The demographic and clinical data of them were collected and compared between survivors and nonsurvivors. RESULTS: Compared to the corresponding period of last year, the all-cause mortality rate of the Wuhan MHD population significantly rose in February, and dropped down in March 2020. Of the 130 COVID-19 cases, 51 (39.2%) were deceased. Advanced age, decreased oxygen saturation, low diastolic blood pressure (DBP) on admission, and complications including acute cardiac injury (HR 5.03 [95% CI 2.21-11.14], p < 0.001), cerebrovascular event (HR 2.80 [95% CI 1.14-6.86], p = 0.025) and acute respiratory distress syndrome (HR 3.50 [95% CI 1.63-7.51], p = 0.001) were identified as independent risk factors for the death of COVID-19. The median virus shedding period of survivors was 25 days, longer than the general population. CONCLUSIONS: Maintenance hemodialysis patients are a highly vulnerable population at increased risk of mortality and prolonged virus shedding period in the ongoing COVID-19 pandemic. Advanced age, decreased oxygen saturation, low DBP on admission, and complications like acute cardiac injury are parameters independently associated with poor prognosis.


Subject(s)
COVID-19 , Humans , Oxygen Saturation , Pandemics , Renal Dialysis/adverse effects , Retrospective Studies , Risk Factors , SARS-CoV-2
10.
Engineering (Beijing) ; 7(7): 899-902, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1193306
11.
BMJ ; 373: n604, 2021 04 14.
Article in English | MEDLINE | ID: covidwho-1186275

ABSTRACT

OBJECTIVE: To examine whether overall lifestyles mediate associations of socioeconomic status (SES) with mortality and incident cardiovascular disease (CVD) and the extent of interaction or joint relations of lifestyles and SES with health outcomes. DESIGN: Population based cohort study. SETTING: US National Health and Nutrition Examination Survey (US NHANES, 1988-94 and 1999-2014) and UK Biobank. PARTICIPANTS: 44 462 US adults aged 20 years or older and 399 537 UK adults aged 37-73 years. EXPOSURES: SES was derived by latent class analysis using family income, occupation or employment status, education level, and health insurance (US NHANES only), and three levels (low, medium, and high) were defined according to item response probabilities. A healthy lifestyle score was constructed using information on never smoking, no heavy alcohol consumption (women ≤1 drink/day; men ≤2 drinks/day; one drink contains 14 g of ethanol in the US and 8 g in the UK), top third of physical activity, and higher dietary quality. MAIN OUTCOME MEASURES: All cause mortality was the primary outcome in both studies, and CVD mortality and morbidity in UK Biobank, which were obtained through linkage to registries. RESULTS: US NHANES documented 8906 deaths over a mean follow-up of 11.2 years, and UK Biobank documented 22 309 deaths and 6903 incident CVD cases over a mean follow-up of 8.8-11.0 years. Among adults of low SES, age adjusted risk of death was 22.5 (95% confidence interval 21.7 to 23.3) and 7.4 (7.3 to 7.6) per 1000 person years in US NHANES and UK Biobank, respectively, and age adjusted risk of CVD was 2.5 (2.4 to 2.6) per 1000 person years in UK Biobank. The corresponding risks among adults of high SES were 11.4 (10.6 to 12.1), 3.3 (3.1 to 3.5), and 1.4 (1.3 to 1.5) per 1000 person years. Compared with adults of high SES, those of low SES had higher risks of all cause mortality (hazard ratio 2.13, 95% confidence interval 1.90 to 2.38 in US NHANES; 1.96, 1.87 to 2.06 in UK Biobank), CVD mortality (2.25, 2.00 to 2.53), and incident CVD (1.65, 1.52 to 1.79) in UK Biobank, and the proportions mediated by lifestyle were 12.3% (10.7% to 13.9%), 4.0% (3.5% to 4.4%), 3.0% (2.5% to 3.6%), and 3.7% (3.1% to 4.5%), respectively. No significant interaction was observed between lifestyle and SES in US NHANES, whereas associations between lifestyle and outcomes were stronger among those of low SES in UK Biobank. Compared with adults of high SES and three or four healthy lifestyle factors, those with low SES and no or one healthy lifestyle factor had higher risks of all cause mortality (3.53, 3.01 to 4.14 in US NHANES; 2.65, 2.39 to 2.94 in UK Biobank), CVD mortality (2.65, 2.09 to 3.38), and incident CVD (2.09, 1.78 to 2.46) in UK Biobank. CONCLUSIONS: Unhealthy lifestyles mediated a small proportion of the socioeconomic inequity in health in both US and UK adults; therefore, healthy lifestyle promotion alone might not substantially reduce the socioeconomic inequity in health, and other measures tackling social determinants of health are warranted. Nevertheless, healthy lifestyles were associated with lower mortality and CVD risk in different SES subgroups, supporting an important role of healthy lifestyles in reducing disease burden.


Subject(s)
Cardiovascular Diseases/epidemiology , Healthy Lifestyle , Mortality , Socioeconomic Factors , Adult , Aged , Cardiovascular Diseases/mortality , Female , Health Behavior , Health Status Disparities , Humans , Incidence , Male , Middle Aged , Nutrition Surveys , Prospective Studies , Registries , United Kingdom/epidemiology , United States/epidemiology , Young Adult
12.
Medicine (Baltimore) ; 100(12): e25307, 2021 Mar 26.
Article in English | MEDLINE | ID: covidwho-1150011

ABSTRACT

ABSTRACT: In 2020, the new type of coronal pneumonitis became a pandemic in the world, and has firstly been reported in Wuhan, China. Chest CT is a vital component in the diagnostic algorithm for patients with suspected or confirmed COVID-19 infection. Therefore, it is necessary to conduct automatic and accurate detection of COVID-19 by chest CT.The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT.From the COVID-19 cases in our institution, 136 moderate patients and 83 severe patients were screened, and their clinical and laboratory data on admission were collected for statistical analysis. Initial CT Radiomics were modeled by automatic machine learning, and diagnostic performance was evaluated according to AUC, TPR, TNR, PPV and NPV of the subjects. At the same time, the initial CT main features of the two groups were analyzed semi-quantitatively, and the results were statistically analyzed.There was a statistical difference in age between the moderate group and the severe group. The model cohort showed TPR 96.9%, TNR 99.1%, PPV98.4%, NPV98.2%, and AUC 0.98. The test cohort showed TPR 94.4%, TNR100%, PPV100%, NPV96.2%, and AUC 0.97. There was statistical difference between the two groups with grade 1 score (P = .001), the AUC of grade 1 score, grade 2 score, grade 3 score and CT score were 0.619, 0.519, 0.478 and 0.548, respectively.Radiomics' Auto ML model was built by CT image of initial COVID -19 pneumonia, and it proved to be effectively used to predict the clinical classification of COVID-19 pneumonia. CT features have limited ability to predict the clinical typing of Covid-19 pneumonia.


Subject(s)
COVID-19/diagnostic imaging , Image Processing, Computer-Assisted/methods , Machine Learning , Tomography, X-Ray Computed/methods , Adult , Age Factors , Aged , COVID-19/pathology , Female , Humans , Lung/diagnostic imaging , Lung/pathology , Male , Middle Aged , Predictive Value of Tests , SARS-CoV-2 , Severity of Illness Index
13.
Ren Fail ; 42(1): 950-957, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-1124758

ABSTRACT

BACKGROUND: Novel coronavirus disease (COVID-19) is spreading rapidly, which poses great challenges to patients on maintenance hemodialysis. Here we report the clinical features of 66 hemodialysis patients with laboratory confirmed COVID-19 infection. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: Retrospective, single-center case series of the 66 hemodialysis patients with confirmed COVID-19 from 1 January to 5 March 2020; the final date of follow-up was 25 March 2020. RESULTS: The clinical data were collected from 66 hemodialysis patients with confirmed COVID-19. The incidence of COVID-19 in our center was 11.0% (66/602), of which 18 patients died. According to different prognosis, hemodialysis patients with COVID-19 were divided into the survival and death group. A higher incidence of fever and dyspnea was found in the death group compared with the survival group. Meanwhile, patients in the death group were often accompanied by higher white blood cell count, prolonged PT time, increased D-dimer (p < .05). More patients in the death group showed hepatocytes and cardiomyocytes damage. Furthermore, logistic regression analysis suggested that fever, dyspnea, and elevated D-dimer were independent risk factors for death in hemodialysis patients with COVID-19 (OR, 1.077; 95% CI, 1.014 to 1.439; p = .044; OR, 1.146; 95% CI, 1.026 to 1.875; p = .034, OR, 4.974; 95% CI, 3.315 to 6.263; p = .007, respectively). CONCLUSIONS: The potential risk factors of fever, dyspnea, and elevated D-dimer could help clinicians to identify hemodialysis patients with poor prognosis at an early stage of COVID-19 infection.


Subject(s)
Coronavirus Infections , Dyspnea , Fever , Fibrin Fibrinogen Degradation Products/analysis , Kidney Failure, Chronic , Pandemics , Pneumonia, Viral , Risk Assessment/methods , Betacoronavirus/isolation & purification , COVID-19 , China/epidemiology , Comorbidity , Coronavirus Infections/diagnosis , Coronavirus Infections/mortality , Coronavirus Infections/physiopathology , Dyspnea/diagnosis , Dyspnea/epidemiology , Female , Fever/diagnosis , Fever/epidemiology , Hemodialysis Units, Hospital/statistics & numerical data , Humans , Kidney Failure, Chronic/epidemiology , Kidney Failure, Chronic/therapy , Male , Middle Aged , Mortality , Pneumonia, Viral/diagnosis , Pneumonia, Viral/mortality , Pneumonia, Viral/physiopathology , Prognosis , Renal Dialysis/methods , Retrospective Studies , Risk Factors , SARS-CoV-2
14.
Sci Adv ; 7(1)2021 01.
Article in English | MEDLINE | ID: covidwho-1066781

ABSTRACT

Despite past extensive studies, the mechanisms underlying pulmonary fibrosis (PF) still remain poorly understood. Here, we demonstrated that lungs originating from different types of patients with PF, including coronavirus disease 2019, systemic sclerosis-associated interstitial lung disease, and idiopathic PF, and from mice following bleomycin (BLM)-induced PF are characterized by the altered methyl-CpG-binding domain 2 (MBD2) expression in macrophages. Depletion of Mbd2 in macrophages protected mice against BLM-induced PF. Mbd2 deficiency significantly attenuated transforming growth factor-ß1 (TGF-ß1) production and reduced M2 macrophage accumulation in the lung following BLM induction. Mechanistically, Mbd2 selectively bound to the Ship promoter in macrophages, by which it repressed Ship expression and enhanced PI3K/Akt signaling to promote the macrophage M2 program. Therefore, intratracheal administration of liposomes loaded with Mbd2 siRNA protected mice from BLM-induced lung injuries and fibrosis. Together, our data support the possibility that MBD2 could be a viable target against PF in clinical settings.


Subject(s)
COVID-19/metabolism , DNA-Binding Proteins/metabolism , Macrophages/metabolism , Pulmonary Fibrosis/metabolism , Animals , Bleomycin/pharmacology , Carcinoma, Non-Small-Cell Lung/metabolism , Fibrosis , Gene Expression Profiling , Gene Expression Regulation , Humans , Liposomes/chemistry , Lung Diseases, Interstitial/metabolism , Lung Neoplasms/metabolism , Macrophages/virology , Male , Mice , Mice, Inbred C57BL , Mice, Knockout , Pulmonary Fibrosis/virology , RNA, Small Interfering/metabolism , Scleroderma, Systemic/metabolism , Signal Transduction , Transforming Growth Factor beta1/metabolism
16.
Int Urol Nephrol ; 53(4): 797-802, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1002141

ABSTRACT

BACKGROUND: The recent outbreak of Coronavirus Disease 2019 (COVID-19) is a public health emergency of international concern. In China, Wuhan, Hubei Province was the epicenter. The disease is more severe in patients with high comorbidities and dialysis patients fall into this category. METHODS: In this report, we reviewed the whole course of the epidemic emerged in the HD center of Wuhan NO.1 Hospital by 28 February 2020. We compared the differences on the epidemiological characteristics and clinical features between patients surviving from COVID-19 and patients who died. RESULT: In this hospital, at time of the present report, 627 patients were on chronic hemodialysis and the prevalence of affected cases was 11.8% (74/627).The median age of the COVID-19-positive patients was 63 years (range 31-88), with an almost even gender distribution (females accounted for 54.4%).The most frequent presenting symptom was cough (41.9%), followed by fatigue (24.2%), fever (17.2%) and dyspnea (14.8%); 22.4% of the cases were and asymptomatic. Fourteen of the 74 patients died (19%), as for presenting symptoms, cough was more frequent in patients who died (P < 0.05). Surviving patients had higher levels of phosphate and albumin, and lower levels of C-reactive protein (CRP). Chest CT scan was positive in all cases, including in asymptomatic ones, and revealed in about three fourths of the cases bilateral (76.2%) lesions; in each lung lesions were multiple in about half of the cases of the cases (52.3%). After diagnosis, median time to death was 7 days in the 14 patients who died, with a range between 4 and 18 days. CONCLUSION: This preliminary, single Center study identifies hemodialysis patients as a population at high risk of severe, and deadly COVID-19 infection. While classic baseline clinical conditions, including age, kidney disease and gender, are not significantly associated with survival in COVID-19 infected hemodialysis, our study also suggests a significant association between risk of and death, poor nutritional status and less than optimal metabolic balance.


Subject(s)
COVID-19/mortality , Kidney Failure, Chronic/mortality , Renal Dialysis , Adult , Aged , Aged, 80 and over , COVID-19/complications , COVID-19/diagnosis , China , Female , Hospitalization , Humans , Kidney Failure, Chronic/complications , Kidney Failure, Chronic/therapy , Male , Middle Aged , Retrospective Studies , Survival Rate
17.
Ther Apher Dial ; 25(1): 55-65, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-936606

ABSTRACT

HD care may experience great stress with the coronavirus disease 2019 (COVID-19) pandemic. A modified HD modality named bed-sided short-duration renal replacement therapy (BSRRT) was used in noncritical maintenance HD (MHD) patients diagnosed with COVID-19 in Wuhan due to extreme situation. To determine the safety and efficacy as a substitution for intermittent HD (IHD), we conducted this study. We used the data of 88 noncritical COVID-19 MHD patients collected from 65 medical units at the hospitals in Wuhan, China, from January 1 to March 10, 2020. t-test, Wilcoxon rank sum test, and Fisher exact probability method were used to compare the baseline characteristics, treatment, and death. Log-rank test and Cox regression multivariate analysis was used to compare the survival of noncritical patients who were transferred to BSRRT modality versus those who were continued on the IHD. Univariate analysis showed the level of reported fatigue symptom at present, bilateral lung computed tomography infiltration and steroid treatment differed between the two groups. The outcome of death of the two groups did not show significant differences in univariate analysis (P = .0563). Multivariate Cox regression analysis dialysis showed modality of treatment after COVID-19 diagnosis was not a significant predictor of death (P = .1000). These data suggest that for noncritical COVID-19 MHD patients, the transfer from IHD to BSRRT does not have significant difference in the risk of death compared with IHD group. This finding suggests this modified modality could be an option for the substitution for IHD during the COVID-19 pandemic period.


Subject(s)
COVID-19/therapy , Point-of-Care Systems , Renal Replacement Therapy/methods , COVID-19/epidemiology , China/epidemiology , Female , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/epidemiology , Pneumonia, Viral/virology , Retrospective Studies , SARS-CoV-2
18.
Indian Journal of Experimental Biology ; 58(11):811-817, 2020.
Article in English | Web of Science | ID: covidwho-921436

ABSTRACT

COVID-19 poses more risk to patients who already suffer from other diseases, particularly respiratory disorder. In this study, we analyzed the clinical characteristics and related risk factors during hospitalization of COVID-19 patients admitted with kidney damage. A total of 102 COVID-19 patients with kidney damage [irrespective of their chronic kidney disease (CKD) history] during hospitalization were included in this study. The patients were divided into a core group and a group who developed critical illness or death. Clinical data included age, gender, length of hospitalization, clinical manifestations, medical history, hypersensitive C-reactive protein (hs -CRP), high serum creatinine, low cardiac troponin I (cTnI), and hemoglobin. Univariate and multivariate logistic regression models were used to analyze the risk factors of patients' outcome. Among the outcomes, 75 patients (73.53%) were cured, 27 (26.47%) developed to critical illness or death, 20 (19.61%) of them died. A total of 36 (4.26%) out of 845 COVID-19 patients, developed acute kidney injury (AKI). Decreased oxygen saturation, elevated hs-CRP, elevated serum creatinine, elevated cTnI, and anemia were related factors for COVID-19 patients who developed to critical illness or death (P <0.05). Decreased oxygen saturation, elevated hs-CRP and anemia were not independent factors, but elevated serum creatinine and elevated cTnI were independent factors for COVID-19 patients who developed to critical illness or death (P <0.05). Among COVID-19 patients with or without CKD but with kidney damage during hospitalization, patients with elevated serum creatinine and elevated Tnl, more likely to developed critical illness or death.

19.
Sci Rep ; 10(1): 18926, 2020 11 03.
Article in English | MEDLINE | ID: covidwho-910231

ABSTRACT

To explore the possibility of predicting the clinical types of Corona-Virus-Disease-2019 (COVID-19) pneumonia by analyzing the non-focus area of the lung in the first chest CT image of patients with COVID-19 by using automatic machine learning (Auto-ML). 136 moderate and 83 severe patients were selected from the patients with COVID-19 pneumonia. The clinical and laboratory data were collected for statistical analysis. The texture features of the Non-focus area of the first chest CT of patients with COVID-19 pneumonia were extracted, and then the classification model of the first chest CT of COVID-19 pneumonia was constructed by using these texture features based on the Auto-ML method of radiomics, The area under curve(AUC), true positive rate(TPR), true negative rate (TNR), positive predictive value(PPV) and negative predictive value (NPV) of the operating characteristic curve (ROC) were used to evaluate the accuracy of the first chest CT image classification model in patients with COVID-19 pneumonia. The TPR, TNR, PPV, NPV and AUC of the training cohort and test cohort of the moderate group and the control group, the severe group and the control group, the moderate group and the severe group were all greater than 95% and 0.95 respectively. The non-focus area of the first CT image of COVID-19 pneumonia has obvious difference in different clinical types. The AUTO-ML classification model of Radiomics based on this difference can be used to predict the clinical types of COVID-19 pneumonia.


Subject(s)
Coronavirus Infections/diagnostic imaging , Lung/diagnostic imaging , Machine Learning , Pneumonia, Viral/diagnostic imaging , Tomography, X-Ray Computed/methods , Adult , Aged , COVID-19 , Coronavirus Infections/pathology , Female , Humans , Lung/pathology , Male , Middle Aged , Pandemics , Pneumonia, Viral/pathology
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