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1.
Aging (Albany NY) ; 13(17): 20896-20905, 2021 09 08.
Article in English | MEDLINE | ID: covidwho-1399703

ABSTRACT

BACKGROUND: This study aimed to explore the significance of neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), D-dimer, and CT score in evaluating the severity and prognosis of coronavirus disease 2019 (COVID-19). METHODS: Patients with laboratory-confirmed COVID-19 were retrospectively enrolled. The baseline data, laboratory findings, chest computed tomography (CT) results evaluated by CT score on admission, and clinical outcomes were collected and compared. Logistic regression was used to assess the independent relationship between the baseline level of the four indicators (NLR, LDH, D-dimer, and CT score) and the severity of COVID-19. RESULTS: Among the 432 patients, 125 (28.94%) and 307 (71.06%) were placed in the severe and non-severe groups, respectively. As per the multivariate logistic regression, high levels of NLR and LDH were independent predictors of severe COVID-19 (OR=2.163; 95% CI=1.162-4.026; p=0.015 for NLR>3.82; OR=2.298; 95% CI=1.327-3.979; p=0.003 for LDH>246 U/L). Combined NLR>3.82 and LDH>246 U/L increased the sensitivity of diagnosis in patients with severe disease (NLR>3.82 [50.40%] vs. combined diagnosis [72.80%]; p=0.0007; LDH>246 [59.2%] vs. combined diagnosis [72.80%]; p<0.0001). CONCLUSIONS: High levels of serum NLR and LDH have potential value in the early identification of patients with severe COVID-19. Moreover, the combination of LDH and NLR can improve the sensitivity of diagnosis.


Subject(s)
COVID-19/blood , COVID-19/diagnostic imaging , Fibrin Fibrinogen Degradation Products/metabolism , L-Lactate Dehydrogenase/blood , Lymphocytes/pathology , Neutrophils/pathology , Tomography, X-Ray Computed , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Prognosis , ROC Curve
2.
PLoS One ; 16(1): e0246030, 2021.
Article in English | MEDLINE | ID: covidwho-1052442

ABSTRACT

PURPOSE: Since the outbreak in late December 2019 in Wuhan, China, coronavirus disease-2019 (COVID-19) has become a global pandemic. We analyzed and compared the clinical, laboratory, and radiological characteristics between survivors and non-survivors and identify risk factors for mortality. METHODS: Clinical and laboratory variables, radiological features, treatment approach, and complications were retrospectively collected in two centers of Hubei province, China. Cox regression analysis was conducted to identify the risk factors for mortality. RESULTS: A total of 432 patients were enrolled, and the median patient age was 54 years. The overall mortality rate was 5.09% (22/432). As compared with the survivor group (n = 410), those in the non-survivor group (n = 22) were older, and they had a higher frequency of comorbidities and were more prone to suffer from dyspnea. Several abnormal laboratory variables indicated that acute cardiac injury, hepatic damage, and acute renal insufficiency were detected in the non-survivor group. Non-surviving patients also had a high computed tomography (CT) score and higher rate of consolidation. The most common complication causing death was acute respiratory distress syndrome (ARDS) (18/22, 81.8%). Multivariate Cox regression analysis revealed that hemoglobin (Hb) <90 g/L (hazard ratio, 10.776; 95% confidence interval, 3.075-37.766; p<0.0001), creatine kinase (CK-MB) >8 U/L (9.155; 2.424-34.584; p = 0.001), lactate dehydrogenase (LDH) >245 U/L (5.963; 2.029-17.529; p = 0.001), procalcitonin (PCT) >0.5 ng/ml (7.080; 1.671-29.992; p = 0.008), and CT score >10 (39.503; 12.430-125.539; p<0.0001) were independent risk factors for the mortality of COVID-19. CONCLUSIONS: Low Hb, high LDH, PCT, and CT score on admission were the predictors for mortality and could assist clinicians in early identification of poor prognosis among COVID-19 patients.


Subject(s)
COVID-19/epidemiology , Adult , Aged , Cause of Death , China/epidemiology , Comorbidity , Disease Outbreaks , Female , Hospitalization , Humans , Male , Middle Aged , Pandemics , Prognosis , Retrospective Studies , Risk Factors , SARS-CoV-2/isolation & purification
3.
Brain Behav Immun ; 89: 587-593, 2020 10.
Article in English | MEDLINE | ID: covidwho-652159

ABSTRACT

OBJECTIVE: To evaluate the mental health status of hospitalized patients with coronavirus disease 2019 (COVID-19) and to explore the related factors. METHOD: This was a cross-sectional survey among COVID-19 inpatients in two isolation wards of a designated hospital in Wuhan, China, from March 7, 2020, to March 24, 2020. Participants' demographic data, clinical data and levels of circulating inflammatory markers were collated. Mental health symptoms were evaluated with questionnaires, which included the Insomnia Severity Index (ISI) scale, the 9-item Patient Health Questionnaire (PHQ-9), the 7-item Generalized Anxiety Disorder (GAD-7) scale, and questions about patients' self-perceived illness severity. Multivariate linear regression analysis was performed to explore factors that associated with mental symptoms, and a structural equation model (SEM) was used to assess the possible relationships between those factors and the patients' mental health. RESULTS: Among the 85 participants, 45.9% had symptoms of depression (PHQ-9 ≥ 5), 38.8% had anxiety (GAD-7 ≥ 5), and 54.1% had insomnia (ISI ≥ 8). According to multivariate regression analysis, female sex, a higher level of interleukin (IL)-1ß and greater self-perceived illness severity were all significantly associated with a higher PHQ-9 score, higher GAD-7 score and higher ISI score. In addition, the disease duration and the neutrophil to lymphocyte ratio (NLR) were positively related to patients' self-perceived illness severity. The results of the SEM analyses suggested that sex (ß = 0.313, P < 0.001), self-perceived illness severity (ß = 0.411, P < 0.001) and levels of inflammatory markers (ß = 0.358, P = 0.002) had direct effects on patients' mental health. The disease duration (ß = 0.163, P = 0.003) and levels of inflammatory markers (ß = 0.101, P = 0.016) also indirectly affected patients' mental health, with self-perceived illness severity acting as a mediator. CONCLUSION: A majority of COVID-19 infected inpatients reported experiencing mental health disturbances. Female sex, disease duration, levels of inflammatory markers and self-perceived illness severity are factors that could be used to predict the severity of patients' mental symptoms.


Subject(s)
Anxiety/psychology , Coronavirus Infections/psychology , Depression/psychology , Hospitalization , Pneumonia, Viral/psychology , Sleep Initiation and Maintenance Disorders/psychology , Adult , Anxiety/epidemiology , Anxiety/immunology , Betacoronavirus , COVID-19 , China/epidemiology , Coronavirus Infections/epidemiology , Coronavirus Infections/immunology , Cross-Sectional Studies , Depression/epidemiology , Depression/immunology , Female , Humans , Inflammation , Leukocyte Count , Lymphocyte Count , Male , Mental Health , Middle Aged , Neutrophils , Pandemics , Patient Health Questionnaire , Pneumonia, Viral/epidemiology , Pneumonia, Viral/immunology , SARS-CoV-2 , Severity of Illness Index , Sex Factors , Sleep Initiation and Maintenance Disorders/epidemiology , Sleep Initiation and Maintenance Disorders/immunology , Time Factors
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