scholarly journals Epidemiologic Characteristics of and Prognostic Factors for COVID-19 Among Hospitalized Patients: Updated Implications From Hubei Province, China

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiang Liu ◽  
Linzhi Zhu ◽  
Tingjuan Lu ◽  
Xibang Liu ◽  
Demin Jiao ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Logistic Regression Analysis ◽  
Medical Records ◽  
Hubei Province ◽  
Child Hospital ◽  
G Ratio ◽  
Univariate Analyses ◽  
Epidemiologic Characteristics

Introduction: The roles of some indicators in the prognosis of patients with coronavirus disease-19 (COVID-19) remain unclear and controversial. This study aimed to explore the epidemiologic characteristics of and prognostic factors for COVID-19 to provide updated recommendations for its prevention, diagnosis, and treatment.Methods: For this retrospective study, demographic, epidemiologic, and clinical data were extracted from the medical records of patients admitted to the Maternal and Child Hospital of Hubei Province (Optical Valley) with COVID-19 between February 19, 2020, and March 19, 2020. The primary outcome was the prognosis that was determined at discharge as mentioned in the medical records. Descriptive statistics, univariate analyses, and stepwise logistic regression analysis were used for data analysis.Results: Of the 1,765 patients included, 93.1% were cured and the mortality was 1.8%. Univariate analyses identified 63 factors significantly associated with COVID-19 prognosis. Logistic regression analysis revealed that a poorer prognosis was associated with undergoing resuscitation, complex disease manifestations, consultation with outside specialists, elevated basophil or lymphocyte counts, an albumin (ALB)/globulin (A/G) ratio > 2.4, and elevated levels of serum aspartate aminotransferase (AST) or creatinine. Patients had a better prognosis if the following conditions were met: dry cough reported as an initial symptom, fatigue as a clinical manifestation, and a diagnosis based on laboratory testing.Conclusion: To prevent clinical deterioration, clinicians should provide special care to patients who underwent resuscitation, with a critical disease, or requiring consultation with outside specialists. Extra attention should be paid to patients with high basophil or lymphocyte counts, a high A/G ratio, and elevated AST or creatinine levels.

scholarly journals Association between Carotid Artery Calcification and Periodontal Disease Progression in Japanese Men and Women: A Cross-Sectional Study

2020 ◽  
Vol 9 (10) ◽  
pp. 3365
Author(s):  
Nanae Dewake ◽  
Yasuaki Ishioka ◽  
Keiichi Uchida ◽  
Akira Taguchi ◽  
Yukihito Higashi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Carotid Artery ◽  
Logistic Regression Analysis ◽  
Roc Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Panoramic Radiographs ◽  
Carotid Artery Calcification ◽  
Univariate Analyses

Objective: To evaluate the association between alveolar bone loss (ABL) detected on panoramic radiographs and carotid artery calcification (CAC) detected on computed tomography (CT). Methods: The study subjects included 295 patients (mean age ± SD: 64.6 ± 11.8 years) who visited the Matsumoto Dental University Hospital. The rate of ABL and the number of present teeth were measured on panoramic radiographs. Univariate analyses with t-tests and chi-squared tests were performed to evaluate the differences in age, gender, history of diseases, number of present teeth, and the ABL between subjects, with and without CAC. Moreover, multivariate logistic regression analysis, with forward selection and receiver operating characteristic curve (ROC) analysis, was performed. Results: The number of subjects without and with CAC was 174 and 121, respectively. Univariate analyses revealed that CAC was significantly associated with age, hypertension, osteoporosis, number of present teeth, and ABL. Multivariate logistic regression analysis adjusted for covariates revealed that the presence of CAC was significantly associated with ABL (OR = 1.233, 95% CI = 1.167–1.303). In the ROC analysis for predicting the presence of CAC, the the area under the ROC curve was the highest at 0.932 (95% CI = 0.904–0.960) for ABL, which was significant. Conclusions: Our results suggest that the measurement of ABL on panoramic radiographs may be an effective approach to identifying patients with an increased risk of CAC.

Identifying predictive factors of rapid response/code blue: A retrospective study using logistic regression analysis

2020 ◽  
Author(s):  
Brittany Thomas ◽  
Herschel Knapp ◽  
Frances Patmon
Keyword(s):  
Heart Rate ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Retrospective Study ◽  
Logistic Regression Analysis ◽  
Medical Records ◽  
Community Hospital ◽  
Rapid Response ◽  
Care Providers ◽  
Single Centre

Abstract Background: Rapid response calls and cardiac arrests are often preceded by observable signs of clinical deterioration often hours prior to the adverse event.Objectives: The purpose of this retrospective study was to identify risk factors that provide predictive value in determining the likelihood of a Rapid Response Call on adult telemetry patients at a single-centre community hospital.Design: This was a retrospective study based on secondary data analysis. After approval by the Institutional Review Board was obtained (CANV DHIRB-2018-362), we utilized the electronic medical record system to extract de-identified quantitative data from patient medical records.Setting: This study utilized medical records from patients on the Telemetry unit at a single-centre, 230-bed community hospital.Participants: The sample consisted of 250 randomized de-identified medical records from both patients who did and did not require a rapid response between January and December, 2018. Patients who were less than 18 years of age and those who were transferred to another facility or to another hospital were excluded from the analyses.Methods: The variables that were collected included age, gender, race, primary admitting medical diagnosis, hemoglobin, potassium, magnesium, creatinine, lactic acid, and urine output. Additional variables collected in four-hour increments included the vital signs: temperature, heart rate, oxygen saturation, respirations, systolic and diastolic blood pressure, and level of consciousness which was scored using the adult Glasgow Coma Scale. Logistic regression analysis was used to identify which of these variables were statistically significant in predicting patient deterioration.Results: The following predictors were statistically significant (a = 0.05 with 95% Confidence Intervals [CI]): For every one beat increase in heart rate 4 hours prior to a RRT, the odds of a RRT increased by 4.9% (p=0.003) (CI=95% 1.016, 1.084). For every one increase in respirations, the odds of a RRT increased by 42.8% (p=0.004) (95% CI 1.11, 1.82), 8 hours before the RRT, and by 47% (p=0.002) (95% CI 1.15, 1.87), 12 hours before a RRT. African Americans had 20.6 times the odds of experiencing an RRT compared to Caucasians (p<0.001) (95% CI 3.4, 124.6), Hispanics had 56.6 times the odds of experiencing a RRT compared to Caucasians (p<0.001) (95% CI 11.4, 280.4), and other races had 6.3 times the odds of a RRT compared to Caucasians (p=0.044) (95% CI 1.05, 38.5).Conclusions: Such predictors can be used to identify early signs of deterioration that can alert health care providers to early intervention.

Logistic Regression Analysis of Potential Prognostic Factors for Pulmonary Thromboembolisma

CHEST Journal ◽  
2003 ◽  
Vol 123 (3) ◽  
pp. 813-821 ◽  
Author(s):  
Hugo Hyung Bok Yoo ◽  
Seérgio Alberto Rupp de Paiva ◽  
Liciana Vaz de Arruda Silveira ◽  
Thais Thomaz Queluz
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Logistic Regression Analysis

scholarly journals Increased tortuosity of basilar artery might be associated with higher risk of aneurysm development

2020 ◽  
Vol 30 (10) ◽  
pp. 5625-5632
Author(s):  
Kornelia M. Kliś ◽  
Roger M. Krzyżewski ◽  
Borys M. Kwinta ◽  
Bartłomiej Łasocha ◽  
Paweł Brzegowy ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Basilar Artery ◽  
Medical Records ◽  
Multivariate Logistic Regression Analysis ◽  
Relative Length ◽  
Continuous Variables ◽  
Key Points ◽  
Aneurysm Development

Abstract Objectives We analysed tortuosity of basilar artery (BA) to determine its relationship with the presence of aneurysm. Methods We retrospectively analysed 71 patients with BA aneurysms along with 71 age- and risk factors-matched control patients without BA aneurysm. From patients’ medical records, we obtained their history including previous and current diseases and medications. For each patient, we calculated relative length (RL), sum of angle metrics (SOAM), triangular index (TI), product of angle distance (PAD) and inflexion count metrics (ICM). We used t-test and Mann-Whitney U test for continuous variables and χ2 test for dichotomised variables. To find independent predictors of BA aneurysm, we employed logistic regression analysis. Results We found significant positive correlation between age and SOAM (R = 0.195, p = 0.02) and PAD (R = 0.199, p = 0.018). Our study also showed that patients with BA aneurysm had significantly higher SOAM (0.21 ± 0.16 vs. 0.11 ± 0.08; p < 0.01), PAD (0.30 ± 0.19 vs. 0.18 ± 0.11; p < 0.01), TI (0.23 ± 0.23 vs. 0.10 ± 0.16; p < 0.01) and ICM (0.20 ± 0.16 vs. 0.15 ± 0.11; p = 0.045). In multivariate logistic regression analysis, after adjustment for all possible confounders, SOAM (OR = 1.086; 95% CI 1.046–1.136; p < 0.01) and TI (OR = 1.004; 95%C: 1.002–1.006; p < 0.01) remained independently associated with higher risk of BA aneurysm. Conclusions Increased tortuosity of BA is associated with higher risk of its aneurysm development. Key Points • Basilar artery sum of angle metrics and product of angle distance are correlated with age. • Basilar artery tortuosity is independently associated with higher risk of its aneurysm development. • Basilar artery tortuosity is positively correlated with its diameter and bifurcation angle.

Sign in / Sign up

Export Citation Format

Share Document