A Study of Risk Factors Associated With Diadetes Using A Multiple Logistic Regression Modelling

2019 ◽  
Vol 67 (5) ◽  
pp. 95-98
Author(s):  
Anthony K. Odior ◽  
Felix Elugwu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Multiple Logistic Regression ◽  
Factors Associated ◽  
Regression Modelling ◽  
Logistic Regression Modelling

scholarly journals Proportion and risk factors for death by euthanasia in dogs in the UK

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Camilla Pegram ◽  
Carol Gray ◽  
Rowena M. A. Packer ◽  
Ysabelle Richards ◽  
David B. Church ◽  
...  
Keyword(s):  
Risk Factors ◽  
Poor Quality ◽  
Clinical Factors ◽  
Sampling Frame ◽  
Additional Risk ◽  
Factors Associated ◽  
Regression Modelling ◽  
The Uk ◽  
Logistic Regression Modelling

AbstractThe loss of a pet can be particularly distressing for owners, whether the method of death is euthanasia or is unassisted. Using primary-care clinical data, this study aimed to report the demographic and clinical factors associated with euthanasia, relative to unassisted death, in dogs. Method of death (euthanasia or unassisted) and clinical cause of death were extracted from a random sample of 29,865 dogs within the VetCompass Programme from a sampling frame of 905,544 dogs under UK veterinary care in 2016. Multivariable logistic regression modelling was used to evaluate associations between risk factors and method of death. Of the confirmed deaths, 26,676 (89.3%) were euthanased and 2,487 (8.3%) died unassisted. After accounting for confounding factors, 6 grouped-level disorders had higher odds in euthanased dogs (than dogs that died unassisted), using neoplasia as the baseline. The disorders with greatest odds included: poor quality of life (OR 16.28), undesirable behaviour (OR 11.36) and spinal cord disorder (OR 6.00). Breed, larger bodyweight and increasing age were additional risk factors for euthanasia. The results highlight that a large majority of owners will face euthanasia decisions and these findings can support veterinarians and owners to better prepare for such an eventuality.

scholarly journals Incidence and Risk Factors for Prolonged Opioid Use after Arthroscopic Meniscal Surgery: An Analysis of 107,717 Cases

2020 ◽  
Vol 8 (7_suppl6) ◽  
pp. 2325967120S0046
Author(s):  
Jacqueline Baron ◽  
Alan Shamrock ◽  
Trevor Gulbrandsen ◽  
Brian Wolf ◽  
Kyle Duchman ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Chronic Obstructive Pulmonary Disease ◽  
Logistic Regression ◽  
Chronic Obstructive ◽  
Multiple Logistic Regression ◽  
Opioid Use ◽  
Obstructive Pulmonary Disease ◽  
Factors Associated ◽  
Meniscal Surgery

Objectives: The current opioid epidemic in the United States is a significant cause of increasing morbidity and mortality. The purpose of this study was to determine rate of opioid use before and after arthroscopic meniscal surgery, and assess patient factors associated with prolonged opioid use following primary arthroscopic meniscal surgery. Methods: Patients undergoing primary arthroscopic meniscal surgery procedures from 2007-2016 were retrospectively accessed from the Humana Inc. administrative claims database. Patients were categorized as patients who filled opioid prescriptions within 3 months (OU), within 1 month (A-OU), between 1 to 3 months (C-OU), and never filled opioid prescriptions (N-OU) before surgery. Rates of opioid use were evaluated preoperatively and longitudinally tracked for OU and N-OU cohorts. Prolonged opioid use was defined as continued opioid prescription filling at ≥3 months after surgery. Multiple logistic regression analysis was used to control for various patient characteristics and identify factors associated with opioid use at 12 months after surgery, with significance defined as P<0.05 Results: There were 107,717 patients (54% female) that underwent arthroscopic meniscal surgery during the study period, of which 46.1% (n=49,630) were N-OU. One year after surgery, opioid fill rate was significantly higher in the OU group compared to the N-OU group with a relative risk of 6.98 (21.1% vs 3.02%; 95% CI: 6.61-7.36; p<0.0001). Multiple logistic regression model identified C-OU (OR:10.23, 95% CI: 9.74-10.76, p<0.0001) as the strongest predictor of opioid use at 12 months postoperatively. Furthermore, patients with acute preoperative opioid use (p<0.0001), preoperative diagnosis of diabetes mellitus (p<0.0001), hypertension (p<0.0001), chronic obstructive pulmonary disease (p<0.0001), anxiety or depression (p<0.0001), alcohol abuse (p= 0.0019), and tobacco use (p=0.0345) had a significantly increased odds of opioid use at 12 months postoperatively. However, males (p<0.0001) and patients <40 years (p<0.0001) had a significantly decreased odds of opioid use 12 months postoperatively. Conclusion: Preoperative opioid use is a significant risk factor for opioid use at 12 months following surgery. Diabetes mellitus, hypertension, chronic obstructive pulmonary disease, smoking status, and psychiatric diagnosis were independent risk factors for opioid use 1-year following surgery.

Temporal and farm-management-associated variation in faecal-pat prevalence ofCampylobacter fetusin sheep and cattle

2013 ◽  
Vol 142 (6) ◽  
pp. 1196-1204 ◽  
Author(s):  
J. S. DUNCAN ◽  
A. J. H. LEATHERBARROW ◽  
N. P. FRENCH ◽  
D. H. GROVE-WHITE
Keyword(s):  
Logistic Regression ◽  
Farm Management ◽  
Multiple Logistic Regression ◽  
Seasonal Periodicity ◽  
Culture Techniques ◽  
Regression Modelling ◽  
Increased Risk ◽  
Geographical Regions ◽  
Logistic Regression Modelling ◽  
Cattle And Sheep

SUMMARYThe faecal-pat prevalence (as estimated by culture) ofCampylobacter fetusfrom cattle and sheep on 19 farms in rural Lancashire was investigated using standardCampylobacterculture techniques and PCR during a 2-year longitudinal study.C. fetuswas isolated from 9·48% [95% confidence interval (CI) 8·48–10·48] of cattle faecal pats and 7·29% (95% CI 6·21–9·62) of sheep faecal pats. There was evidence of significant differences in shedding prevalence between geographical regions; cows in geographical zone 3 had an increased risk of sheddingC. fetuscompared to cows in geographical zones 1 and 2 (OR 6·64, 95% CI 1·67–26·5,P = 0·007), as did cows at pasture (OR 1·66, 95% CI 1·01–2·73,P = 0·046) compared to when housed. Multiple logistic regression modelling demonstrated underlying seasonal periodicity in both species.

scholarly journals Fatores de Risco Associados à Recusa de Notas de Transferência e Vales Cirurgia: O Caso da Região Centro em Portugal

2022 ◽  
Vol 35 (13) ◽  
Author(s):  
Salomé Cruz ◽  
Carlota Quintal ◽  
Patrícia Antunes
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
General Surgery ◽  
Waiting Times ◽  
Positive Association ◽  
Waiting List ◽  
Multiple Logistic Regression ◽  
Third Trimester ◽  
Factors Associated ◽  
The Third

Introduction: In Portugal, the rate of refusals regarding transfer between hospitals through surgery vouchers is high, which makes it difficult to meet maximum waiting times for elective surgeries. The objectives of this study are to examine how many vouchers were issued and refused between the third quarter of 2016 and the fourth quarter of 2019 and the risk factors associated with their refusal, in Central PortugalMaterial and Methods: Data was obtained in the database of cancelled vouchers and the waiting list for surgery on the 31st December 2019. Multiple logistic regression was used to investigate risk factors.Results: The number of issued vouchers increased after 2018 and the rate of refusals has been above 55% since the 3rd quarter of 2018. Refusal was more likely for individuals aged 55 years or above (OR = 1.136; CI = 1.041 – 1.240; OR = 1.095; CI = 1.005 – 1.194; OR = 1.098; CI = 1.002 – 1.203, for the age bands 55 - 64, 65 - 74 and 75 - 84, respectively), for inpatient surgery when compared to ambulatory (OR = 2.498; CI = 2.343 – 2.663) and for Orthopaedics when compared to General Surgery (OR = 1.123; CI = 1.037 – 1.217). The odds of refusal also varied across hospitals (for example OR = 3.853; CI = 3.610 – 4.113; OR = 3.600; CI = 3.171 – 4.087; OR = 2.751; CI =3.383 – 3.175 e OR = 1.337; CI = 1.092 – 1.637, for hospitals identified as HO_2, HO_7, HO_4 and HO_6, respectively).Conclusion: In this study, we have confirmed that the number of issued surgery vouchers increased after the administrative reduction of maximum waiting times in 2018 and that the rate of transfer refusals has been increasing since 2016 and has remained above 55% from the third trimester of 2018 onwards. Some of the factors for which we obtained a positive association with refusal are age, inpatient surgery (compared to ambulatory) and Orthopaedics (compared to General Surgery).

scholarly journals 447 - Risk factors associated with sleep disturbance in a general elderly Japanese population: The Arao Cohort Study

2020 ◽  
Vol 32 (S1) ◽  
pp. 167-167
Author(s):  
Kazuki Honda ◽  
Tomohisa Ishikawa ◽  
Ryuji Fukuhara ◽  
Seiji Yuki ◽  
Yusuke Miyagawa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cohort Study ◽  
Sleep Disturbance ◽  
Logistic Regression Analysis ◽  
Barthel Index ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Factors Associated

[Background]Sleep disturbance is a common symptom in elderly people. However, the associated risk factors have not been completely clarified. We examined possible risk factors associated with sleep disturbance in a community-based Japanese cohort study.[Methods]1521 community-dwelling individuals aged 65 years or older were selected from a consecutive series at a cohort study from 2016 to 2018 in Arao city, where located at south part of Japan. In this survey, the clinical valuables were collected as follows: age, sex, occupational status, education, lifestyle information, medical history, EuroQoL(EQ)-5D (a score of health-related quality of life [QOL]), Barthel index (a score of performance in activities of daily living), a score of Geriatric Depression Scale (GDS) and a score of Mini-Mental State Examination (MMSE). Sleep disturbance was assessed by the Pittsburgh Sleep Quality Index (when the global score was 6 or over, sleep disturbance was determined to be present). Multiple logistic regression analysis was used to examine the association between clinical valuables and sleep disturbance. This research was supported by AMED (Japan Agency for Medical Research and Development) under Grant Number JP18dk0207025h0003 and has been approved by the research ethics committee of Kumamoto University. Informed consent was obtained from all participants and their family members.[Results]Multiple logistic regression analysis revealed that Parkinson disease (Odds ratio[OR]=5.59), living alone (OR=1.93), liver disease (OR=1.89), hyperlipidemia (OR=1.36), higher score of GDS (OR=1.14), lower scores of both EQ-5D index (OR=1.11) and Barthel index (OR=1.03) were significantly associated as risk factors with sleep disturbance. Unexpectedly, lower score of MMSE was not a significant risk factor.[Conclusion]These results suggest that several physical illnesses, solitude, depressive symptoms and lower QOL, but not cognitive impairment, might be crucial risk factors associated with sleep disturbance in elderly population.

Euthanasia in Dogs Under Primary Veterinary Care in the UK: Frequency and Risk Factors

2021 ◽  
Author(s):  
Camilla Pegram ◽  
Carol Gray ◽  
Rowena M. A. Packer ◽  
Ysabelle Richards ◽  
David B. Church ◽  
...  
Keyword(s):  
Risk Factors ◽  
Poor Quality ◽  
Clinical Factors ◽  
Sampling Frame ◽  
Additional Risk ◽  
Factors Associated ◽  
Regression Modelling ◽  
The Uk ◽  
Logistic Regression Modelling

Abstract The loss of a pet can be particularly distressing for owners, whether the method of death is euthanasia or is unassisted. Using primary-care clinical data, this study aimed to report the demographic and clinical factors associated with euthanasia, relative to unassisted death, in dogs. Method of death (euthanasia or unassisted) and clinical cause of death were extracted from a random sample of 29,865 dogs within the VetCompass Programme from a sampling frame of 905,544 dogs under UK veterinary care in 2016. Multivariable logistic regression modelling was used to evaluate associations between risk factors and method of death. Of the confirmed deaths, 26,676 (89.3%) were euthanased and 2,487 (8.3%) died unassisted. After accounting for confounding factors, 6 grouped-level disorders had higher odds in euthanased dogs (than dogs that died unassisted), using neoplasia as the baseline. The disorders with greatest odds included: poor quality of life (OR 16.28), undesirable behaviour (OR 11.36) and spinal cord disorder (OR 6.00). Breed, larger bodyweight and increasing age were additional risk factors for euthanasia. The results highlight that a large majority of owners will face euthanasia decisions and these findings can support veterinarians and owners to better prepare for such an eventuality.

scholarly journals Efficiency of slaughterhouse surveillance for the detection of bovine tuberculosis in cattle in Northern Ireland

2016 ◽  
Vol 145 (5) ◽  
pp. 995-1005 ◽  
Author(s):  
A. V. PASCUAL-LINAZA ◽  
A. W. GORDON ◽  
L. A. STRINGER ◽  
F. D. MENZIES
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Northern Ireland ◽  
Bovine Tuberculosis ◽  
Post Mortem ◽  
Univariable Analysis ◽  
Eradication Programme ◽  
Risk Status ◽  
Regression Modelling ◽  
Logistic Regression Modelling

SUMMARYPost-mortem examination continues to play an important surveillance role in the bovine tuberculosis (bTB) eradication programme in Northern Ireland. It is estimated that 18–28% of new bTB herd breakdowns are disclosed by the detection of bTB lesions in animals routinely slaughtered. The purpose of this study was to compare the performance of different slaughterhouses in Northern Ireland in detecting bTB-lesioned animals at routine slaughter (LRS) and to apply the findings to maximize the sensitivity of bTB slaughterhouse surveillance. Univariate statistical analysis on cattle slaughtered in Northern Ireland during 2011–2013 revealed that the risk of LRS disclosure varied between slaughterhouses, ranging from 0·08% to 0·54%. Furthermore, the risk of confirmation of these LRS as bTB varied between slaughterhouses, ranging from 57·9% to 72·4%. Logistic regression modelling of selected risk factors found that the risk of LRS disclosure increased with age, and was higher in purchased animals, during winter months, in animals coming from high bTB incidence areas and in animals slaughtered from herds with a bTB restriction in the last 2–3 years. Adjusting for these selected factors, the risk of LRS disclosure and bTB confirmation changed very little from the univariable analysis, suggesting that differences in disclosure risks between slaughterhouses were likely to be due to factors related to the slaughterhouses, rather than to the risk status of the animals presented. Examination of procedures within these slaughterhouses is recommended to identify ways that could increase the sensitivity of their bTB surveillance.

scholarly journals TeamMate: A Longitudinal Study of New Zealand Working Farm Dogs. III. Factors Affecting the Risk of Dogs Being Lost from the Workforce

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1602
Author(s):  
Katja E. Isaksen ◽  
Lori Linney ◽  
Helen Williamson ◽  
Elizabeth J. Norman ◽  
Nick J. Cave ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Acute Injury ◽  
Age Group ◽  
Factors Affecting ◽  
Regression Modelling ◽  
Physical Examinations ◽  
Livestock Farmers ◽  
Logistic Regression Modelling ◽  
Improve Health

Working farm dogs are essential to many livestock farmers. Little is known about factors that influence dogs’ risk of being lost from work. This paper explores risk factors for farm dogs being lost through death, euthanasia and retirement. All enrolled dogs were working and a minimum of 18 months old. Five data collection rounds were performed over four years. Data about dogs were collected from owners and dogs were given physical examinations by veterinarians. Dogs that were lost from work were counted and owner-reported reasons for loss were recorded. Multivariable logistic regression modelling was used to investigate risk factors for loss. Of 589 dogs, 81 were lost from work. Of these, 59 dogs died or were euthanized and 22 were retired. Farm dogs tended to reach advanced ages, with 38% being 10 years or older when last examined. Acute injury or illness was the most commonly owner-reported reason for loss. Age group (p < 0.0001) and lameness (p = 0.04, OR = 1.8) significantly affected dogs’ risk of being lost. These results expand our knowledge about factors that affect health, welfare and work in farm dogs. Further investigation into reasons for lameness may help improve health and welfare in working farm dogs.

scholarly journals Multidrug-resistant enteric pathogens in older children and adults with diarrhea in Bangladesh: epidemiology and risk factors

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Stephanie C. Garbern ◽  
Tzu-Chun Chu ◽  
Monique Gainey ◽  
Samika S. Kanekar ◽  
Sabiha Nasrin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Acute Diarrhea ◽  
Antibiotic Use ◽  
Multidrug Resistant ◽  
Enteric Pathogens ◽  
Multiple Logistic Regression ◽  
Older Children ◽  
Factors Associated ◽  
Culture Positive

Abstract Background Antimicrobial resistance (AMR) is a global public health threat and is increasingly prevalent among enteric pathogens in low- and middle-income countries (LMICs). However, the burden of multidrug-resistant organisms (MDROs) in older children, adults, and elderly patients with acute diarrhea in LMICs is poorly understood. This study’s aim was to characterize the prevalence of MDR enteric pathogens isolated from patients with acute diarrhea in Dhaka, Bangladesh, and assess a wide range of risk factors associated with MDR. Methods This study was a secondary analysis of data collected from children over 5 years, adults, and elderly patients with acute diarrhea at the International Centre for Diarrhoeal Disease Research, Bangladesh Dhaka Hospital between March 2019 and March 2020. Clinical, historical, socio-environmental information, and a stool sample for culture and antimicrobial susceptibility testing were collected from each patient. Univariate statistics and multiple logistic regression were used to assess the prevalence of MDR among enteric pathogens and the association between independent variables and presence of MRDOs among culture-positive patients. Results A total of 1198 patients had pathogens isolated by stool culture with antimicrobial susceptibility results. Among culture-positive patients, the prevalence of MDR was 54.3%. The prevalence of MDR was highest in Aeromonas spp. (81.5%), followed by Campylobacter spp. (72.1%), Vibrio cholerae (28.1%), Shigella spp. (26.2%), and Salmonella spp. (5.2%). Factors associated with having MDRO in multiple logistic regression included longer transport time to hospital (>90 min), greater stool frequency, prior antibiotic use prior to hospital presentation, and non-flush toilet use. However, pseudo-R2 was low 0.086, indicating that other unmeasured variables need to be considered to build a more robust predictive model of MDR. Conclusions MDR enteric pathogens were common in this study population with clinical, historical, and socio-environmental risk factors associated with MDROs. These findings may help guide clinical decision-making regarding antibiotic use and selection in patients at greatest risk of complications due to MDROs. Further prospective research is urgently needed to determine what additional factors place patients at greatest risk of MDRO, and the best strategies to mitigate the spread of MDR in enteric pathogens.

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