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1.
Aging (Albany NY) ; 13(3): 3176-3189, 2021 02 09.
Article in English | MEDLINE | ID: covidwho-1076957

ABSTRACT

To establish an effective nomogram for predicting in-hospital mortality of COVID-19, a retrospective cohort study was conducted in two hospitals in Wuhan, China, with a total of 4,086 hospitalized COVID-19 cases. All patients have reached therapeutic endpoint (death or discharge). First, a total of 3,022 COVID-19 cases in Wuhan Huoshenshan hospital were divided chronologically into two sets, one (1,780 cases, including 47 died) for nomogram modeling and the other (1,242 cases, including 22 died) for internal validation. We then enrolled 1,064 COVID-19 cases (29 died) in Wuhan Taikang-Tongji hospital for external validation. Independent factors included age (HR for per year increment: 1.05), severity at admission (HR for per rank increment: 2.91), dyspnea (HR: 2.18), cardiovascular disease (HR: 3.25), and levels of lactate dehydrogenase (HR: 4.53), total bilirubin (HR: 2.56), blood glucose (HR: 2.56), and urea (HR: 2.14), which were finally selected into the nomogram. The C-index for the internal resampling (0.97, 95% CI: 0.95-0.98), the internal validation (0.96, 95% CI: 0.94-0.98), and the external validation (0.92, 95% CI: 0.86-0.98) demonstrated the fair discrimination ability. The calibration plots showed optimal agreement between nomogram prediction and actual observation. We established and validated a novel prognostic nomogram that could predict in-hospital mortality of COVID-19 patients.


Subject(s)
COVID-19 , Hospital Mortality , Nomograms , Age Factors , Aged , Blood Chemical Analysis/methods , Blood Chemical Analysis/statistics & numerical data , COVID-19/blood , COVID-19/diagnosis , COVID-19/mortality , COVID-19/physiopathology , Cardiovascular Diseases/epidemiology , China/epidemiology , Female , Hospitalization/statistics & numerical data , Humans , Male , Middle Aged , Prognosis , Retrospective Studies , Risk Assessment/methods , Risk Factors , SARS-CoV-2/isolation & purification , Severity of Illness Index , Survival Analysis , Symptom Assessment/methods , Symptom Assessment/statistics & numerical data
2.
Spectrochim Acta A Mol Biomol Spectrosc ; 249: 119241, 2021 Mar 15.
Article in English | MEDLINE | ID: covidwho-1065570

ABSTRACT

The present work describes development of rapid, robust, sensitive and green spectrofluorimetric method for determination of favipiravir (FAV). Different factors affecting fluorescence were carefully studied and Box Behnken Design was applied to optimize experimental parameters. The proposed method is based on measuring native fluorescence of FAV in 0.2 M borate buffer (pH 8.0) at 432 nm after excitation at 361 nm. There was a linear relationship between FAV concentration and relative fluorescence intensity over the range 40-280 ng/mL with limit of detection of 9.44 ng/mL and quantitation limit of 28.60 ng/mL. The method was successfully implemented for determination of FAV in its pharmaceutical formulation with mean % recovery of 99.26 ± 0.87. Moreover, the high sensitivity of the method allowed determination of FAV in spiked human plasma over a range of 48-192 ng/mL. The proposed spectrofluorimetric method was proved to be eco-friendly according to analytical eco-scale.


Subject(s)
Amides/blood , Antiviral Agents/blood , COVID-19/blood , COVID-19/drug therapy , Pyrazines/blood , Spectrometry, Fluorescence/methods , Amides/analysis , Amides/therapeutic use , Antiviral Agents/analysis , Antiviral Agents/therapeutic use , Blood Chemical Analysis/methods , Blood Chemical Analysis/statistics & numerical data , Humans , Limit of Detection , Pyrazines/analysis , Pyrazines/therapeutic use , SARS-CoV-2 , Sensitivity and Specificity , Spectrometry, Fluorescence/statistics & numerical data
3.
Clin Chem Lab Med ; 58(8): 1172-1181, 2020 Jul 28.
Article in English | MEDLINE | ID: covidwho-608457

ABSTRACT

Objective Recently, there have been several studies on the clinical characteristics of patients with coronavirus disease 2019 (COVID-19); however, these studies have mainly been concentrated in Wuhan, China; the sample sizes of each article were different; and the reported clinical characteristics, especially blood biochemical indices, were quite different. This study aimed to summarize the blood biochemistry characteristics of COVID-19 patients by performing a systemic review and meta-analysis of published studies. Methods Comprehensive studies were screened from PubMed, Embase, and Cochrane Library through March 11, 2020. The inclusion criteria included studies investigating the biochemical indexes of patients with COVID-19. The statistical software R3.6.3 was used for meta-analysis. Results Ten studies including 1745 COVID-19 patients met the inclusion criteria for our meta-analysis. Meta-analysis showed that 16% and 20% of patients with COVID-19 had alanine transaminase (ALT) and aspartate aminotransferase (AST) levels higher than the normal range, respectively. Thirty-four percent of patients showed albumin (ALB) levels lower than the normal range, and 6% of patients showed abnormal total bilirubin (TBil) levels. The levels of creatinine (CRE) were increased in 8% of patients. The creatine kinase (CK) level of 13% of patients exceeded the normal range, and 52% of patients had elevated lactate dehydrogenase (LDH) levels. In addition, six studies met the inclusion criteria for the systemic review evaluating the relevance between LDH levels and the severity of COVID-19, and all six studies showed a positive association between these two factors. Conclusions Some patients with COVID-19 had different degrees of blood biochemical abnormalities, which might indicate multiple organ dysfunction. Some biochemical indexes, such as abnormal ALB and LDH, could reflect the severity of the disease to a certain extent. These blood biochemical indicators should be considered in the clinical management of the disease.


Subject(s)
Betacoronavirus , Blood Chemical Analysis/statistics & numerical data , Clinical Laboratory Techniques/statistics & numerical data , Coronavirus Infections/blood , Pneumonia, Viral/blood , COVID-19 , COVID-19 Testing , Coronavirus Infections/diagnosis , Humans , L-Lactate Dehydrogenase/blood , Pandemics , Regression Analysis , SARS-CoV-2 , Serum Albumin, Human/analysis
4.
Clin Chem Lab Med ; 58(8): 1191-1199, 2020 Jul 28.
Article in English | MEDLINE | ID: covidwho-324469

ABSTRACT

Coronavirus disease 2019 (COVID-19) represents a new pandemic caused by severe acute respiratory syndrome virus coronavirus 2 (SARS-CoV-2). A previous pooled analysis clearly identified elevated D-dimer levels as being associated with severity of COVID-19. Since then, several other studies have provided clearer support for this initial evidence. However, potentially under-recognized by those reporting on D-dimer is the considerable variation in reporting units for D-dimer, and thus also the potential for misreporting of D-dimer data based on poor or incomplete reporting. A PubMed search was used to identify recent papers reporting on D-dimers in COVID-19-based studies. We report that: (1) most publications did not identify either the manufacturer or D-dimer product used; (2) most did not identify whether D-dimer values were reported as D-dimer units (DDU) or fibrinogen equivalent units (FEU) (~2 × differences); (3) nearly half did not identify normal cut-off values; (4) some did not report numerical findings or units for D-dimer; (5) where reported, most identified units as either mg/L or µg/mL; (6) we identified at least four errors in reporting from 21 papers. It may not be possible to truly standardize D-dimer assays, but it should be feasible to harmonize D-dimer assays to a single unit of measurement.


Subject(s)
Blood Chemical Analysis/statistics & numerical data , Coronavirus Infections/blood , Fibrin Fibrinogen Degradation Products/analysis , Pneumonia, Viral/blood , Betacoronavirus , Blood Chemical Analysis/methods , COVID-19 , Communication , Confusion , Humans , Pandemics , SARS-CoV-2
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