scholarly journals Incidence and demographic risk factors for leptospirosis in dogs in the UK

2021 ◽  
Author(s):  
Collette Taylor ◽  
Dan G. O'Neill ◽  
Brian Catchpole ◽  
Dave C. Brodbelt
Keyword(s):  
Risk Factors ◽  
Demographic Risk ◽  
The Uk ◽  
Demographic Risk Factors

scholarly journals Frequency, breed predisposition and demographic risk factors for overweight status in dogs in the UK

2021 ◽  
Author(s):  
C. Pegram ◽  
E. Raffan ◽  
E. White ◽  
A. H. Ashworth ◽  
D. C. Brodbelt ◽  
...  
Keyword(s):  
Risk Factors ◽  
Overweight Status ◽  
Demographic Risk ◽  
The Uk ◽  
Demographic Risk Factors

scholarly journals Prevalence of commonly diagnosed disorders in UK dogs under primary veterinary care: results and applications

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Dan G. O’Neill ◽  
Hannah James ◽  
Dave C. Brodbelt ◽  
David B. Church ◽  
Camilla Pegram
Keyword(s):  
Risk Factors ◽  
Skin Disorder ◽  
Otitis Externa ◽  
Disease Prevalence ◽  
General Level ◽  
Demographic Information ◽  
Diagnostic Certainty ◽  
Demographic Risk ◽  
The Uk ◽  
Demographic Risk Factors

Abstract Background Although dogs are a commonly owned companion animal in the UK, the species experiences many health problems that are predictable from demographic information. This study aimed to use anonymised veterinary clinical data from the VetCompass™ Programme to report the frequency of common disorders of dogs under primary veterinary care in the UK during 2016 and to explore effects associated with age, sex and neuter status. Results From an available population of 905,543 dogs under veterinary care at 886 veterinary clinics during 2016, the current study included a random sample of 22,333 (2.47 %) dogs from 784 clinics. Prevalence for each disorder was calculated at the most refined level of diagnostic certainty (precise-level precision) and after grouping to a more general level of diagnostic precision (grouped-level precision). The most prevalent precise-level precision disorders recorded were periodontal disease (prevalence 12.52 %, 95 % CI: 12.09–12.97), otitis externa (7.30 %, 95 % CI: 6.97–7.65) and obesity (7.07 %, 95 % CI: 6.74–7.42). The most prevalent grouped-level disorders were dental disorder (14.10 %, 95 % CI: 13.64–14.56), skin disorder (12.58 %, 95 % CI: 12.15–13.02) and enteropathy (10.43 %, 95 % CI: 10.04–10.84). Associations were identified for many common disorders with age, sex and neuter. Conclusions The overall findings can assist veterinarians and owners to prioritise preventive care and to understand demographic risk factors in order to facilitate earlier diagnosis of common disorders in dogs. The information on associations with age, sex and neuter status provides additional contextual background to the complexity of disorder occurrence and supports targeted health controls for demographic subsets of dogs.

Clinical and Demographic Risk Factors for COVID-19 during Delivery Hospitalizations in New York City

2021 ◽  
Author(s):  
Desmond Sutton ◽  
Timothy Wen ◽  
Anna P. Staniczenko ◽  
Yongmei Huang ◽  
Maria Andrikopoulou ◽  
...  
Keyword(s):  
Risk Factors ◽  
New York ◽  
New York City ◽  
Logistic Regression ◽  
York City ◽  
Demographic Data ◽  
Outcome Data ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
Zip Code

Objective This study was aimed to review 4 weeks of universal novel coronavirus disease 2019 (COVID-19) screening among delivery hospitalizations, at two hospitals in March and April 2020 in New York City, to compare outcomes between patients based on COVID-19 status and to determine whether demographic risk factors and symptoms predicted screening positive for COVID-19. Study Design This retrospective cohort study evaluated all patients admitted for delivery from March 22 to April 18, 2020, at two New York City hospitals. Obstetrical and neonatal outcomes were collected. The relationship between COVID-19 and demographic, clinical, and maternal and neonatal outcome data was evaluated. Demographic data included the number of COVID-19 cases ascertained by ZIP code of residence. Adjusted logistic regression models were performed to determine predictability of demographic risk factors for COVID-19. Results Of 454 women delivered, 79 (17%) had COVID-19. Of those, 27.9% (n = 22) had symptoms such as cough (13.9%), fever (10.1%), chest pain (5.1%), and myalgia (5.1%). While women with COVID-19 were more likely to live in the ZIP codes quartile with the most cases (47 vs. 41%) and less likely to live in the ZIP code quartile with the fewest cases (6 vs. 14%), these comparisons were not statistically significant (p = 0.18). Women with COVID-19 were less likely to have a vaginal delivery (55.2 vs. 51.9%, p = 0.04) and had a significantly longer postpartum length of stay with cesarean (2.00 vs. 2.67days, p < 0.01). COVID-19 was associated with higher risk for diagnoses of chorioamnionitis and pneumonia and fevers without a focal diagnosis. In adjusted analyses, including demographic factors, logistic regression demonstrated a c-statistic of 0.71 (95% confidence interval [CI]: 0.69, 0.80). Conclusion COVID-19 symptoms were present in a minority of COVID-19-positive women admitted for delivery. Significant differences in obstetrical outcomes were found. While demographic risk factors demonstrated acceptable discrimination, risk prediction does not capture a significant portion of COVID-19-positive patients. Key Points

scholarly journals Iron deficiency in Massachusetts communities: Socioeconomic and demographic risk factors among children.

1996 ◽  
Vol 86 (4) ◽  
pp. 544-550 ◽  
Author(s):  
J D Sargent ◽  
T A Stukel ◽  
M A Dalton ◽  
J L Freeman ◽  
M J Brown
Keyword(s):  
Risk Factors ◽  
Iron Deficiency ◽  
Demographic Risk ◽  
Demographic Risk Factors

scholarly journals Demographic risk factors for mid-urethral sling failure. Do they really matter?

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207185 ◽  
Author(s):  
Wojciech Majkusiak ◽  
Andrzej Pomian ◽  
Edyta Horosz ◽  
Aneta Zwierzchowska ◽  
Paweł Tomasik ◽  
...  
Keyword(s):  
Risk Factors ◽  
Demographic Risk ◽  
Demographic Risk Factors
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