Analysis of Predictive Factors for Moderate-Stage COVID-19 Outcome and Maximal Extent of Lung Injury

Background: As the coronavirus disease 2019 (COVID-19) epidemic continues to spread, it is important to predict the clinical classification of COVID-19 and evaluate the progression of lung injury. Objectives: To investigate the predictive factors of the outcome of moderate-stage coronavirus disease 2019 (COVID-19) and maximal extent of lung injury. Patients and Methods: This study was a retrospective analysis of 97 patients with moderate-stage COVID-19 diagnosed in our hospital. We divided the patients into two groups according to disease progression: one group for moderate stage and another for both severe stage and critically severe stage COVID-19. We then analyzed the independent factors influencing changes in the course of the disease in moderate-stage patients using binary logistic regression. Next, we assessed the computed tomography (CT) score of maximal lung injury using follow-up images of the patients. We used multiple linear regression (MLR) to analyze the independent variables, and to predict the CT score of maximal lung injury in COVID-19 patients. Results: The results were obtained using multivariate logistic regression analysis, and the independent factors affecting clinical classification were baseline CT score (P = 0.008), high-sensitivity C-reactive protein (hs-CRP) (P = 0.001), and diabetes (P = 0.04). MLR revealed that the factors predicting the extent of maximal lung injury in COVID-19 patients were age (P = 0.014), neutrophil percentage (P = 0.038), lymphocyte percentage (P = 0.031), hs-CRP (P = 0.010), and baseline CT score (P < 0.001). The optimal cut-off value of hs-CRP was 18.5, and the baseline CT score was 8.5. Conclusion: Age, baseline CT score, hs-CRP, neutrophil percentage, and lymphocyte percentage could predict the CT score of maximal lung injury, and hs-CRP > 18.5, baseline CT score ≥ 9, and diabetes were independent factors of severe/critically severe COVID-19.

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The association between high-sensitivity C-reactive protein at admission and progressive motor deficits in patients with penetrating artery infarctions

BMC Neurology ◽

10.1186/s12883-019-1538-5 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 1

Author(s):

Pengyu Gong ◽

Yukai Liu ◽

Ting Huang ◽

Wenxiu Chen ◽

Teng Jiang ◽

...

Keyword(s):

Logistic Regression ◽

Characteristic Curve ◽

Multivariate Logistic Regression Analysis ◽

High Sensitivity ◽

Motor Deficit ◽

Motor Deficits ◽

C Reactive Protein ◽

Discriminative Ability ◽

Reactive Protein ◽

Hs Crp

Abstract Background A fraction of patients with penetrating artery infarction (PAI) experience progressive motor deficit deterioration (PMD). We sought to investigate the role of high-sensitivity C-reactive protein (hs-CRP) at admission in predicting PMD. Methods From January 2015 to September 2018, consecutive patients with PAI from three centers were prospectively enrolled in this study. PMD was defined as worsening of motor function score by ≥1 point on the National Institutes of Health Stroke Scale during the first 5 days after admission. Multivariable logistic regression analyses were performed to explore the relationship between hs-CRP and PMD in patients with PAI. We also performed receiver operating characteristic curve analysis and constructed a nomogram to assess the overall discriminative ability of hs-CRP in predicting PMD. Results We ultimately included 544 patients (mean age, 65.4 ± 11.8 years). A total of 85 (15.6%) patients were identified to have PMD. Multivariate logistic regression analysis showed that hs-CRP was independently associated with PMD (P = 0.001). The optimal cutoff value for hs-CRP as a predictor for PMD was 3.48 mg/L, with a sensitivity of 73.64% and a specificity of 82.35% (area under curve, 0.792). Moreover, the nomogram we constructed indicated that higher level of hs-CRP was an indicator of PMD (c-index = 0.780, P < 0.001). Conclusions Our study suggested that hs-CRP might be a useful biomarker for predicting the risk of PMD in patients with PAI.

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Evaluation of Systemic Renin and Angiotensin II Levels in Normal Tension Glaucoma

Journal of Clinical Medicine ◽

10.3390/jcm9123838 ◽

2020 ◽

Vol 9 (12) ◽

pp. 3838

Author(s):

Soo Ji Jeon ◽

Hyung Bin Hwang ◽

Na Young Lee

Keyword(s):

Angiotensin Ii ◽

Complete Blood Count ◽

Low Density Lipoprotein ◽

Multivariate Logistic Regression Analysis ◽

Density Lipoprotein ◽

High Sensitivity ◽

Normal Tension Glaucoma ◽

Enzyme Linked Immunosorbent Assay ◽

Reactive Protein ◽

Hs Crp

The purpose of this study was to investigate the function of the renin–angiotensin–aldosterone system (RAAS) in normal tension glaucoma (NTG) patients by measuring the level of renin and angiotensin II (AngII) in the plasma. Twenty-four patients with NTG and 38 control subjects were included in this study. Renin and AngII were measured in the blood samples of all subjects by enzyme-linked immunosorbent assay (ELISA). No significant differences were found in the complete blood count, fasting glucose, low-density lipoprotein (LDL), and high-sensitivity C-reactive protein (hs-CRP) levels between the control and NTG groups. The systemic concentration and variability of the renin concentration in the blood was significantly higher in the NTG group (p = 0.005 and 0.005, respectively). According to multivariate logistic regression analysis, the variability of the renin concentration was associated with NTG (p = 0.006). In conclusion, the systemic concentration and variability of renin levels were elevated in NTG patients. An altered renin concentration could represent a difference in RAAS function in NTG patients.

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Ectopic eruption of the maxillary second molar: Predictive factors

The Angle Orthodontist ◽

10.2319/020917-95 ◽

2017 ◽

Vol 87 (4) ◽

pp. 583-589 ◽

Cited By ~ 1

Author(s):

Soonshin Hwang ◽

Yoon Jeong Choi ◽

Ji Yeon Lee ◽

Chooryung Chung ◽

Kyung-Ho Kim

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Predictive Factors ◽

Multivariate Logistic Regression Analysis ◽

Key Factors ◽

Multivariate Logistic Regression ◽

Factors Associated ◽

Ectopic Eruption ◽

Maxillary Tuberosity

ABSTRACT Objective: The purpose of this study was to investigate the diagnostic aspects, contributing conditions, and predictive key factors associated with ectopic eruption of maxillary second molars. Material and Methods: This retrospective study evaluated the study models, lateral cephalographs, and panoramic radiographs of 40 adult subjects (20 men, 20 women) with bilateral ectopic eruption and 40 subjects (20 men, 20 women) with normal eruption of the maxillary second molars. Studied variables were analyzed statistically by independent t-tests, univariate and multivariate logistic regression analysis, followed by receiver-operating characteristic analysis. Results: Tooth widths of bilateral lateral incisors, canines, and premolars were wider in the ectopic group, which resulted in greater arch lengths. The ANB angle and maxillary tuberosity distance (PTV-M1, PTV-M2) were smaller in the ectopic group. The long axes of the maxillary molars showed significant distal inclination in the ectopic group. The multivariate logistic regression analysis showed that three key factors—arch length, ANB angle, and PTV-M1 distance—were significantly associated with ectopic eruption of the second molars. The area under the curve (AUC) was the largest for the combination of the three key factors with an AUC greater than 0.75. PTV-M1 alone was the single factor that showed the strongest association with ectopic eruption (AUC = 0.7363). Conclusions: An increase in arch length, decrease in ANB angle, and decrease in maxillary tuberosity distance to the distal aspect of the maxillary first molar (PTV-M1) were the most predictive factors associated with ectopic eruption of maxillary second molars.

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Serum Magnesium and Mortality in Maintenance Hemodialysis Patients

Blood Purification ◽

10.1159/000451052 ◽

2016 ◽

Vol 43 (1-3) ◽

pp. 31-36 ◽

Cited By ~ 19

Author(s):

Ling Yu ◽

Han Li ◽

Shi-xiang Wang

Keyword(s):

Serum Magnesium ◽

Multivariate Logistic Regression Analysis ◽

High Sensitivity ◽

Normal Serum ◽

Serum Phosphorus ◽

Maintenance Hemodialysis ◽

Related Factors ◽

Kaplan Meier ◽

Significant Difference ◽

Hs Crp

Background and Aim: The study aimed to investigate the potential contributing effect of serum magnesium on mortality in maintenance hemodialysis (MHD) patients. Methods: The patients receiving regular MHD in March 2013 were involved. Baseline data including clinical data, anthropometrics and biochemical measurement were collected. After being followed for 36 months, the time of death and reason were recorded. Results: One hundred and thirty-five MHD patients were enrolled in the study and analyzed, with mean serum magnesium of 1.11 ± 0.15 mmol/l. The level of serum magnesium in 64 patients was normal (47.4%), and it was elevated in 71 of the 135 patients (52.6%). And none of MHD patients had hypomagnesemia. The levels of serum albumin (Alb), urea nitrogen, creatinine (Cr), uric acid and phosphorus were significantly higher, but high-sensitivity C-reactive protein (Hs-CRP) and lipoprotein A were significantly lower in hypermagnesemia group compared to the normal serum magnesium group (p < 0.05). Serum Alb, serum Cr, serum phosphorus and Hs-CRP were related factors of hypermagnesemia by multivariate logistic regression analysis (p < 0.05). During the 36 months of follow-up, 27 patients died (20.0%), of whom 55.6% died of cardiovascular (CV) events. Kaplan-Meier curves showed that cumulative incidence of CV mortality were significantly higher in the normal serum magnesium group than in the hypermagnesemia group (p = 0.027); however, there was no significant difference in all-cause mortality (p > 0.05). Conclusions: Serum magnesium was elevated, which was related with nutrition and inflammation markers including serum Alb, serum Cr, serum phosphorus and Hs-CRP. Lower serum magnesium is a risk factor of CV mortality in MHD patients. Intervention studies are needed to clarify whether magnesium supplementation is beneficial for improving patient prognosis, when MHD patients had inflammatory and malnutrition.

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Clinical Characteristics and Predictors of Mortality for Young Adults with Severe COVID-19: A Retrospective Study

10.21203/rs.3.rs-31386/v1 ◽

2020 ◽

Author(s):

Yanjiao Lu ◽

Zhenli Huang ◽

Meijia Wang ◽

Kun Tang ◽

Shanshan Wang ◽

...

Keyword(s):

Young Adults ◽

Logistic Regression ◽

Elevated Level ◽

Clinical Characteristics ◽

Troponin I ◽

Multivariate Logistic Regression Analysis ◽

Laboratory Findings ◽

Predictors Of Mortality ◽

Hs Crp ◽

D Dimer

Abstract Background and objective: Little is yet known whether pathogenesis of COVID-19 is different between young and elder patients. Our study aimed to investigate the clinical characteristics and provide predictors of mortality for young adults with severe COVID-19.Methods: A total of 77 young adults with confirmed severe COVID-19 were recruited retrospectively at Tongji Hospital. Clinical characteristics, laboratory findings, treatment and outcomes were obtained from electronic medical records. The prognostic effects of variables were analyzed using logistic regression model.Results: In this retrospective cohort, non-survivors showed higher incidence of dyspnea and co-existing laboratory abnormalities, compared with young survivals in severe COVID-19. Multivariate logistic regression analysis showed that lymphopenia, elevated level of d-dimer, hypersensitive cardiac troponin I (hs-CTnI) and high sensitivity C-reactive protein (hs-CRP) were independent predictors of mortality in young adults with severe COVID-19. Further analysis showed that severely young adults with two or more factors abnormalities above would be more prone to death. The similar predictive effect of above four factors had been observed in all-age patients with severe COVID-19.Conclusion: Lymphopenia, elevated level of d-dimer, hs-CTnI and hs-CRP predicted clinical outcomes of young adults with severe COVID-19.

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Clinical Characteristics and Predictors of Mortality in Young Adults with Severe COVID-19. A Retrospective Observational Study

10.21203/rs.3.rs-31386/v3 ◽

2021 ◽

Author(s):

Yanjiao Lu ◽

Zhenli Huang ◽

Meijia Wang ◽

Kun Tang ◽

Shanshan Wang ◽

...

Keyword(s):

Young Adults ◽

Logistic Regression ◽

Elevated Level ◽

Clinical Characteristics ◽

Troponin I ◽

Multivariate Logistic Regression Analysis ◽

Laboratory Findings ◽

Predictors Of Mortality ◽

Hs Crp ◽

D Dimer

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Predictive Factors of Severe Coronavirus Disease 2019 in Previously Healthy Young Adults: A Single-Center, Retrospective Study

10.21203/rs.3.rs-23496/v2 ◽

2020 ◽

Author(s):

Changzhi Zhou ◽

Zhe Huang ◽

Yi Hu ◽

Shuang Geng ◽

Weijun Tan ◽

...

Keyword(s):

Young Adults ◽

Logistic Regression ◽

Area Under The Curve ◽

Tertiary Hospital ◽

Factors Affecting ◽

Reactive Protein ◽

Severe Stage ◽

Neutrophil Percentage ◽

Serum Biochemical ◽

Biochemical Examination

Abstract Background: Several previously healthy young adults have developed Coronavirus Disease 2019 (COVID-19), and a few of them progressed to the severe stage. However, the factors are not yet determined. Method: We retrospectively analyzed 123 previously healthy young adults diagnosed with COVID-19 from January to March 2020 in a tertiary hospital in Wuhan. Patients were classified as having mild or severe COVID-19 based on their respiratory rate, SpO2, and PaO2/FiO2 levels. Patients’ symptoms, computer tomography (CT) images, preadmission drugs received, and the serum biochemical examination on admission were compared between the mild and severe groups. Significant variables were enrolled into logistic regression model to predict the factors affecting disease severity. A receiver operating characteristic (ROC) curve was applied to validate the predictive value of predictors. Result: Age; temperature; anorexia; and white blood cell count, neutrophil percentage, platelet count, lymphocyte count, C-reactive protein, aspartate transaminase, creatine kinase, albumin, and fibrinogen values were significantly different between patients with mild and severe COVID-19 (P<0.05). Logistic regression analysis confirmed that lymphopenia (P=0.010) indicated severe prognosis in previously healthy young adults with COVID-19, with the area under the curve (AUC) was 0.791(95% Confidence Interval (CI) 0.704–0.877)(P<0.001). Conclusion: For previously healthy young adults with COVID-19, lymphopenia on admission can predict severe prognosis.

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Clinical characteristics and predictors of mortality in young adults with severe COVID-19: a retrospective observational study

Annals of Clinical Microbiology and Antimicrobials ◽

10.1186/s12941-020-00412-9 ◽

2021 ◽

Vol 20 (1) ◽

Author(s):

Yanjiao Lu ◽

Zhenli Huang ◽

Meijia Wang ◽

Kun Tang ◽

Shanshan Wang ◽

...

Keyword(s):

Young Adults ◽

Logistic Regression ◽

Elevated Level ◽

Clinical Characteristics ◽

Troponin I ◽

Multivariate Logistic Regression Analysis ◽

Laboratory Findings ◽

Predictors Of Mortality ◽

Hs Crp ◽

D Dimer

Abstract Background and objective Little is yet known whether pathogenesis of COVID-19 is different between young and elder patients. Our study aimed to investigate the clinical characteristics and provide predictors of mortality for young adults with severe COVID-19. Methods A total of 77 young adults with confirmed severe COVID-19 were recruited retrospectively at Tongji Hospital. Clinical characteristics, laboratory findings, treatment and outcomes were obtained from electronic medical records. The prognostic effects of variables were analyzed using logistic regression model. Results In this retrospective cohort, non-survivors showed higher incidence of dyspnea and co-existing laboratory abnormalities, compared with young survivals in severe COVID-19. Multivariate logistic regression analysis showed that lymphopenia, elevated level of d-dimer, hypersensitive cardiac troponin I (hs-CTnI) and high sensitivity C-reactive protein (hs-CRP) were independent predictors of mortality in young adults with severe COVID-19. Further analysis showed that severely young adults with two or more factors abnormalities above would be more prone to death. The similar predictive effect of above four factors had been observed in all-age patients with severe COVID-19. Conclusion Lymphopenia, elevated level of d-dimer, hs-CTnI and hs-CRP predicted clinical outcomes of young adults with severe COVID-19.

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Exploration of prognostic factors for critical COVID-19 patients using a nomogram model

Scientific Reports ◽

10.1038/s41598-021-87373-x ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Juan Li ◽

Lili Wang ◽

Chun Liu ◽

Zhengquan Wang ◽

Yi Lin ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Mortality Risk ◽

Demographic Data ◽

Multiple Logistic Regression Analysis ◽

High Sensitivity ◽

Advanced Age ◽

Hs Crp

AbstractThe study aimed to explore the influencing factors on critical coronavirus disease 2019 (COVID-19) patients’ prognosis and to construct a nomogram model to predict the mortality risk. We retrospectively analyzed the demographic data and corresponding laboratory biomarkers of 102 critical COVID-19 patients with a residence time ≥ 24 h and divided patients into survival and death groups according to their prognosis. Multiple logistic regression analysis was performed to assess risk factors for critical COVID-19 patients and a nomogram was constructed based on the screened risk factors. Logistic regression analysis showed that advanced age, high peripheral white blood cell count (WBC), low lymphocyte count (L), low platelet count (PLT), and high-sensitivity C-reactive protein (hs-CRP) were associated with critical COVID-19 patients mortality risk (p < 0.05) and these were integrated into the nomogram model. Nomogram analysis showed that the total factor score ranged from 179 to 270 while the corresponding mortality risk ranged from 0.05 to 0.95. Findings from this study suggest advanced age, high WBC, high hs-CRP, low L, and low PLT are risk factors for death in critical COVID-19 patients. The Nomogram model is helpful for timely intervention to reduce mortality in critical COVID-19 patients.

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Sarcopenic obesity associated with high-sensitivity C-reactive protein in age and sex comparison: a two-center study in South Korea

BMJ Open ◽

10.1136/bmjopen-2017-021232 ◽

2018 ◽

Vol 8 (9) ◽

pp. e021232 ◽

Cited By ~ 8

Author(s):

Chul-Hyun Park ◽

Jong Geol Do ◽

Yong-Taek Lee ◽

Kyung Jae Yoon

Keyword(s):

Body Composition ◽

South Korea ◽

Strong Association ◽

Multivariate Logistic Regression Analysis ◽

High Sensitivity ◽

Sarcopenic Obesity ◽

C Reactive Protein ◽

Reactive Protein ◽

Subgroup Analyses ◽

Hs Crp

ObjectivesTo evaluate the association between high-sensitivity C-reactive protein (hs-CRP) and sarcopenic obesity, and to determine age or sex differences underlying the relationship between hs-CRP and sarcopenic obesity.DesignObservational study.ParticipantsThe study included 237 838 participants whose body composition and hs-CRP were analysed at the two health promotion centres in South Korea. Participants were divided into four groups based on body composition: normal, obesity only, sarcopenia only and sarcopenic obesity.Primary measuresThe levels of hs-CRP and proportion of participants with high (≥1.0 mg/L) hs-CRP. Sarcopenic obesity was defined as subjects fulfilling the criteria for sarcopenia (below 2 SD of mean of Skeletal Muscle Mass Index for young adults) and obesity (waist circumference ≥90 cm for men and ≥85 cm for women).ResultsThe level of hs-CRP was highest in the sarcopenic obesity group. Following adjustment for various confounders including age, sex, comorbidities, metabolic, health-related behaviour and demographic factors, the adjusted ORs (95% CI) for subjects with high hs-CRP associated with obesity, sarcopenia and sarcopenic obesity compared with normal group (reference) were 1.17 (1.05 to 1.31), 2.23 (1.21 to 4.07) and 3.23 (2.71 to 3.83), respectively. In age subgroup analyses, multivariate logistic regression analysis revealed that the association of high hs-CRP with sarcopenic obesity was stronger in younger (<60 years) participants than in older (≥60 years) participants (p for interaction <0.001). In subgroup analyses for sex, the association of high hs-CRP with sarcopenic obesity was higher in female participants than in males (p for interaction <0.001).ConclusionsThis study demonstrated that high level of hs-CRP was independently associated with sarcopenic obesity in Korean population. We found for the first time that there was a strong association between increased hs-CRP and sarcopenic obesity in female and younger (<60 years) subjects.

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