scholarly journals Reactive leukocytosis in older patients with acute colonic diverticulitis: A retrospective study utilizing logistic regression analysis

2020 ◽  
Vol 20 (10) ◽  
pp. 951-955
Author(s):  
Yosuke Sasaki ◽  
Fumiya Komatsu ◽  
Naoyasu Kashima ◽  
Tadashi Maeda ◽  
Yoshihisa Urita
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Retrospective Study ◽  
Logistic Regression Analysis ◽  
Older Patients ◽  
Colonic Diverticulitis ◽  
Acute Colonic Diverticulitis

scholarly journals Risk Factors of Atrial Arrhythmia in Patients With Liver Cirrhosis: A Retrospective Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiya Lu ◽  
Zhijing Wang ◽  
Liu Yang ◽  
Changqing Yang ◽  
Meiyi Song
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Liver Cirrhosis ◽  
Retrospective Study ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Clinical Information ◽  
Atrial Arrhythmia

Background and Objectives: Liver cirrhosis is known to be associated with atrial arrhythmia. However, the risk factors for atrial arrhythmia in patients with liver cirrhosis remain unclear. This retrospective study aimed to investigate the risk factors for atrial arrhythmia in patients with liver cirrhosis.Methods: In the present study, we collected data from 135 patients with liver cirrhosis who were admitted to the Department of Gastroenterology at Shanghai Tongji Hospital. We examined the clinical information recorded, with the aim of identifying the risk factors for atrial arrhythmia in patients with liver cirrhosis. Multiple logistic regression analysis was used to screen for significant factors differentiating liver cirrhosis patients with atrial arrhythmia from those without atrial arrhythmia.Results: The data showed that there were seven significantly different factors that distinguished the group with atrial arrhythmia from the group without atrial arrhythmia. The seven factors were age, white blood cell count (WBC), albumin (ALB), serum Na+, B-type natriuretic peptide (BNP), ascites, and Child-Pugh score. The results of multivariate logistic regression analysis suggested that age (β = 0.094, OR = 1.098, 95% CI 1.039–1.161, P = 0.001) and ascites (β =1.354, OR = 3.874, 95% CI 1.202–12.483, P = 0.023) were significantly associated with atrial arrhythmia.Conclusion: In the present study, age and ascites were confirmed to be risk factors associated with atrial arrhythmia in patients with liver cirrhosis.

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.

scholarly journals Analyzing the Factors Contributing to Withdrawal from Insulin Therapy following Additional Administration of Alogliptin: Retrospective Study after Removing Glucotoxicity with Insulin

2015 ◽  
Vol 6 ◽  
pp. JCM.S27202
Author(s):  
Hiromi Hamamoto ◽  
Koji Nakanishi ◽  
Mitsuhiko Noda
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Retrospective Study ◽  
Insulin Therapy ◽  
Logistic Regression Analysis ◽  
Insulin Dose ◽  
Contributing Factors ◽  
Hba1c Levels

We attempted to examine whether withdrawal from insulin therapy is or is not possible with administration of additional alogliptin and identify the contributing factors. The subjects were 43 adult patients with type 2 diabetes undergoing insulin therapy after admission. After glucotoxicity was removed, 25 mg alogliptin was additionally administered. Insulin was reduced by 15.6 ± 13.0 units (mean ± SD), and 17 patients (39.5%) completely withdrew from insulin therapy. Several factors were compared between the two groups of patients: those who could withdraw from insulin therapy and those who could not. The former group showed lower HbA1c levels on admission, a lower insulin dose before adding alogliptin, lower injection frequencies, and longer treatment histories prior to admission. Logistic regression analysis showed that lower insulin dose contributed significantly to withdrawal. These results suggest that a lower insulin dose is the best predictor for withdrawal from insulin therapy after adding alogliptin.

Does Basic life Support in a Rural EMS System Influence the Outcome of Patients with Respiratory Distress?

1996 ◽  
Vol 11 (4) ◽  
pp. 285-290
Author(s):  
Lawrence H. Brown ◽  
N. Heramba Prasad ◽  
Theodore W. Whitley ◽  
Nicholas H. Benson ◽  
Adrian Corlette
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Respiratory Distress ◽  
Hospital Stay ◽  
Logistic Regression Analysis ◽  
Older Patients ◽  
Basic Life Support ◽  
Life Support ◽  
Length Of Hospital Stay ◽  
Emergency Medical

AbstractPurpose:The purpose of this study was to determine whether basic life support, prehospital emergency medical care in a rural area affects the hospital course of patients with respiratory distress.Methods:Medical records for patients admitted from the emergency department with a discharge diagnosis related to respiratory disease were reviewed. Data collected included: 1) mode of arrival; 2) initial symptom; 3) vital signs; 4) prehospital interventions applied; 5) hospital days; 6) discharge status; and 7) principal diagnosis. Multiple logistic regression analysis was used to predict length of hospital stay.Results:Charts for 603 patients were reviewed. Complete data for all variables included in the logistic regression analysis were available for 471 patients (78.1%). Because 55 patients died, only 416 (69.0%) were included in the multiple regression analysis conducted to predict length of hospital stay. Logistic regression analysis demonstrated that patients who arrived by ambulance and older patients were more likely to die; patients with higher systolic blood pressures were more likely to survive. Only patient age predicted length of hospital stay, with older patients having longer stays.Conclusions:Basic life support prehospital care in this rural emergency medical services system does not result in a lower mortality rate or a shorter hospital stay for a broad group of patients with respiratory distress who require hospital admission. Although this study is limited to a single population and a single emergency medical services system, it is one of only a few studies of outcome in basic life support systems.

scholarly journals Clinical Difference between Acute Appendicitis and Acute Right-Sided Colonic Diverticulitis

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Ji Ho Song ◽  
Yong Won Kim ◽  
Sanghun Lee ◽  
Han Ho Do ◽  
Jun Seok Seo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Acute Appendicitis ◽  
Logistic Regression Analysis ◽  
Past History ◽  
Colonic Diverticulitis ◽  
Laboratory Findings ◽  
Clinical Difference ◽  
Clinical Presentations ◽  
History Of

Background. Clinical presentations of acute appendicitis (AA) and acute right-sided colonic diverticulitis (ARCD) are similar. However, the usual treatment for each disease differs between surgical and conservative management. The aim of this study was to identify clinical differences between AA and ARCD. Method. We performed a single-center retrospective study on adult patients, with uncomplicated AA and ARCD confirmed by computed tomography, who visited an emergency department between March 2018 and August 2019. Clinical variables including past medical history, presented symptoms and signs, and laboratory findings were compared between the two groups. A logistic regression analysis was subsequently performed to differentiate ARCD from AA based on results of univariate analyses. Results. A total of 212 (79.1%) and 56 (20.9%) patients were enrolled in AA and ARSD groups, respectively. Logistic regression analysis revealed that a past history of diverticulitis [OR: 102.679 (95% CI: 9.964–1058.055), p<0.001] was associated with ARCD, while ketonuria [OR: 2.907 (95% CI: 1.091–7.745), p=0.033], anorexia [OR: 21.544 (95% CI: 3.905–118.868), p<0.001], and neutrophilia [OR: 3.406 (95% CI: 1.243–9.336), p=0.017] were associated with AA. Conclusion. Anorexia, neutrophilia, and ketonuria were predictors of AA while a history of diverticulitis was a predictor of ARCD.

scholarly journals Predicting Malignancy in Entirely Solid-appearing Adnexal Masses on Gray-Scale Ultrasound Based on Additional Ultrasound Findings, Clinical Complaints and Biochemical Parameters: A Retrospective Study

2013 ◽  
Vol 7 (1) ◽  
pp. 80-85
Author(s):  
Juan Luis Alcázar ◽  
Laura Pineda ◽  
Jesús Utrilla-Layna
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Retrospective Study ◽  
Logistic Regression Analysis ◽  
Biochemical Parameters ◽  
Malignant Tumors ◽  
Ca 125 ◽  
Gray Scale ◽  
Adnexal Masses ◽  
Ultrasound Findings

ABSTRACT Purpose To determine which clinical, biochemical and other sonographic parameters could be useful to predict malignancy in sonographically solid adnexal masses. Materials and methods Clinical, biochemical and other sonographic features from 227 women diagnosed as having an entirely solid adnexal mass on B-mode gray-scale ultrasound were reviewed for this retrospective study. All patients had undergone surgery and mass removal. Definitive histologic diagnosis was available in all cases. All parameters were compared to final histological diagnosis (benign or malignant) in univariate statistical analysis. Then a stepwise forward logistic regression analysis was performed to identify those features that independently predict malignancy. Results A total of 227 masses were analyzed. Patients’ mean age was 52.9 years (range: 15-84 years). A total of 150 masses were malignant and 77 were benign. In 52 cases carcinomatosis was observed on ultrasound scan and all theses cases were malignant. In the remaining 175 cases, univariate analysis showed statistical differences between benign and malignant tumors all parameters except tumor's volume. After logistic regression analysis tumor contour, acoustic shadowing, amount of color and CA 125 were identified as independent predictors of malignancy. Using a logistic model 94.4% of malignant tumors and 85.7% of benign tumors would be correctly identified. Conclusion The presence of carcinomatosis is invariably associated to malignancy. In absence of carcinomatosis, irregular tumor contour, absence of acoustic shadowing, moderate or abundant blood flow and a high CA 125 are associated to malignancy. How to cite this article Utrilla-Layna J, Olartecoechea B, Aubá M, Ruiz-Zambrana A, Pineda L, Alcázar JL. Predicting Malignancy in Entirely Solid-appearing Adnexal Masses on Gray-Scale Ultrasound Based on Additional Ultrasound Findings, Clinical Complaints and Biochemical Parameters: A Retrospective Study. Donald School J Ultrasound Obstet Gynecol 2013;7(1):80-85.

scholarly journals Efficacy And Renal Safety of Febuxostat In Management of Gout And Chronic Kidney Disease: A Retrospective Study

2021 ◽  
Author(s):  
Peiyu Zhang ◽  
Mo Chen ◽  
Jundi Wang ◽  
Shunjie Hu ◽  
Xiaoyong Lu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Retrospective Study ◽  
Kidney Disease ◽  
Logistic Regression Analysis ◽  
Serum Urate ◽  
Acute Arthritis ◽  
Renal Safety

Abstract Background: Elevated serum urate levels are associated with renal deterioration of chronic kidney disease (CKD). Whether urate-lowering treatment with febuxostat can improve renal function or attenuate the decline of the estimated glomerular filtration rate (eGFR) is controversial. The current study sought to explore efficacy and renal safety of febuxostat in gout patients with CKD and explore factors correlated with target serum urate (sUA).Methods: The current study was a single-center retrospective study comprising male gout patients with CKD. sUA, the rate of sUA < 360 µmol/L and renal safety were analyzed in subjects who had been treated with febuxostat for more than 44 weeks. Factors correlated with target sUA were explored by logistic regression analysis. Results: A total of 87 patients who had been diagnosed with gout and CKD met the inclusion criteria for the study. Twenty-five (28.73%) patients presented with stage 2 CKD, 58 (66.67%) were diagnosed with stage 3 CKD and 4 (4.60%) were diagnosed with stage 4 CKD. Analysis of sUA level showed a significant reduction at week 44~ (598.22 ± 95.11 µmol/L vs. 429.76 ± 123.45 μmol/L; P < 0.05), and the RAT increased to 34.50%. eGFR level of all patients was 52.37 ± 11.74 ml/min/1.73cm2 at baseline and 56.51 ± 15.01 ml/min/1.73cm2 at week 44~ (P < 0.05). The findings showed improvement of eGFR level in different stages of CKD, mainly in stage 3 CKD patients (P < 0.05). After stratification based on risk factors of hypertension, diabetic mellitus, hyperlipidemia and the usage of Non-Steroidal Anti-inflammatory Drugs (NSAIDs), the findings showed that eGFR levels of patients with ≤ 1 risk factors showed significant improvement (P < 0.05). Logistic regression analysis indicated that baseline sUA level and acute arthritis were correlated with the RAT in gout and CKD patients treated with febuxostat.Conclusions: In this retrospective study, febuxostat demonstrated effective and renal safety in gout patients with CKD. Baseline sUA level and acute arthritis may affect achieving of target sUA.

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