Factors Associated with Mortality in Ontario Standardbred Racing: 2003–2015

Factors associated with mortality in standardbred racehorses were assessed through a retrospective annualized cohort study of all-cause mortality from 2003–2015 (n = 978) (identified in the Ontario Racehorse Death Registry). Race and qualifying data for official work-events were also gathered (1,778,330 work-events, 125,200 horse years). Multivariable logistic regression analysis revealed sex, age, and indices of workload and intensity and their interactions to be strongly associated with mortality. Track class, race versus qualifying performance, and work-event outcome (finish position, scratched, or failed to finish) also influenced mortality odds, which increased as performance slowed. Intense competition at higher performance levels and qualifying races at lower levels carried particularly high odds. Though occurring frequently, musculoskeletal injury was less frequent than all other presenting problems combined. Industry structure contributes to mortality through interaction between horse characteristics and the competition environment. This substrate may be amenable to management to minimize liability, but incident-specific triggers may represent chance factors and be relatively difficult to identify or control. Differentiating between substrate and trigger when studying specific clinical problems may provide greater clarity and yield in identifying underlying causes. Mortality may reflect a continuum of circumstances, cumulative impacts of which might be identified before a fatal event occurs.

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Frailty status among older critically ill patients with severe acute kidney injury

Critical Care ◽

10.1186/s13054-021-03510-y ◽

2021 ◽

Vol 25 (1) ◽

Author(s):

William Beaubien-Souligny ◽

Alan Yang ◽

Gerald Lebovic ◽

Ron Wald ◽

Sean M. Bagshaw

Keyword(s):

Acute Kidney Injury ◽

Critically Ill ◽

Critically Ill Patients ◽

Multivariable Analysis ◽

Kidney Injury ◽

Multivariable Logistic Regression Analysis ◽

Clinical Frailty Scale ◽

Factors Associated ◽

Frailty Status ◽

Physiological Variables

Abstract Background Frailty status among critically ill patients with acute kidney injury (AKI) is not well described despite its importance for prognostication and informed decision-making on life-sustaining therapies. In this study, we aim to describe the epidemiology of frailty in a cohort of older critically ill patients with severe AKI, the outcomes of patients with pre-existing frailty before AKI and the factors associated with a worsening frailty status among survivors. Methods This was a secondary analysis of a prospective multicentre observational study that enrolled older (age > 65 years) critically ill patients with AKI. The clinical frailty scale (CFS) score was captured at baseline, at 6 months and at 12 months among survivors. Frailty was defined as a CFS score of ≥ 5. Demographic, clinical and physiological variables associated with frailty as baseline were described. Multivariable Cox proportional hazard models were constructed to describe the association between frailty and 90-day mortality. Demographic and clinical factors associated with worsening frailty status at 6 months and 12 months were described using multivariable logistic regression analysis and multistate models. Results Among the 462 patients in our cohort, median (IQR) baseline CFS score was 4 (3–5), with 141 (31%) patients considered frail. Pre-existing frailty was associated with greater hazard of 90-day mortality (59% (n = 83) for frail vs. 31% (n = 100) for non-frail; adjusted hazards ratio [HR] 1.49; 95% CI 1.11–2.01, p = 0.008). At 6 months, 68 patients (28% of survivors) were frail. Of these, 57% (n = 39) were not classified as frail at baseline. Between 6 and 12 months of follow-up, 9 (4% of survivors) patients transitioned from a frail to a not frail status while 10 (4% of survivors) patients became frail and 11 (5% of survivors) patients died. In multivariable analysis, age was independently associated with worsening CFS score from baseline to 6 months (adjusted odds ratio [OR] 1.08; 95% CI 1.03–1.13, p = 0.003). Conclusions Pre-existing frailty is an independent risk factor for mortality among older critically ill patients with severe AKI. A substantial proportion of survivors experience declining function and worsened frailty status within one year.

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Mortality risk prediction in lupus patients complicated with invasive infection in the emergency department: LUPHAS score

Therapeutic Advances in Musculoskeletal Disease ◽

10.1177/1759720x19885559 ◽

2019 ◽

Vol 11 ◽

pp. 1759720X1988555 ◽

Cited By ~ 1

Author(s):

Wanlong Wu ◽

Jun Ma ◽

Yuhong Zhou ◽

Chao Tang ◽

Feng Zhao ◽

...

Keyword(s):

Emergency Department ◽

Prediction Model ◽

Risk Score ◽

Roc Curve ◽

Curve Analysis ◽

Multivariable Logistic Regression Analysis ◽

Invasive Infection ◽

Roc Curve Analysis ◽

All Cause Mortality ◽

Qsofa Score

Background: Infection remains a major cause of morbidity and mortality in patients with systemic lupus erythematosus (SLE). This study aimed to establish a clinical prediction model for the 3-month all-cause mortality of invasive infection events in patients with SLE in the emergency department. Methods: SLE patients complicated with invasive infection admitted into the emergency department were included in this study. Patient’s demographic, clinical, and laboratory characteristics on admission were retrospectively collected as baseline data and compared between the deceased and the survivors. Independent predictors were identified by multivariable logistic regression analysis. A prediction model for all-cause mortality was established and evaluated by receiver operating characteristic (ROC) curve analysis. Results: A total of 130 eligible patients were collected with a cumulative 38.5% 3-month mortality. Lymphocyte count <800/ul, urea >7.6mmol/l, maximum prednisone dose in the past ⩾60 mg/d, quick Sequential Organ Failure Assessment (qSOFA) score, and age at baseline were independent predictors for all-cause mortality (LUPHAS). In contrast, a history of hydroxychloroquine use was protective. In a combined, odds ratio-weighted LUPHAS scoring system (score 3–22), patients were categorized to three groups: low-risk (score 3–9), medium-risk (score 10–15), and high-risk (score 16–22), with mortalities of 4.9% (2/41), 45.9% (28/61), and 78.3% (18/23) respectively. ROC curve analysis indicated that a LUPHAS score could effectively predict all-cause mortality [area under the curve (AUC) = 0.86, CI 95% 0.79–0.92]. In addition, LUPHAS score performed better than the qSOFA score alone (AUC = 0.69, CI 95% 0.59–0.78), or CURB-65 score (AUC = 0.69, CI 95% 0.59–0.80) in the subgroup of lung infections ( n = 108). Conclusions: Based on a large emergency cohort of lupus patients complicated with invasive infection, the LUPHAS score was established to predict the short-term all-cause mortality, which could be a promising applicable tool for risk stratification in clinical practice.

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Factors Associated with Unsuccessful Treatment of Tuberculosis in Arsi-Robe Hospital, Arsi Zone, Ethiopia: A Retrospective Study

10.21203/rs.3.rs-151177/v1 ◽

2021 ◽

Author(s):

Addisu Assefa ◽

Ararsa Girma ◽

Helmut Kloos

Keyword(s):

Treatment Outcome ◽

Retrospective Study ◽

Rural Areas ◽

Urban Areas ◽

Treatment Success ◽

Hiv Positive ◽

Multivariable Logistic Regression Analysis ◽

Eastern Ethiopia ◽

Factors Associated ◽

Unsuccessful Treatment

Abstract Background: Tuberculosis remains a major global health problem and ranks along with the human immunodeficiency virus (HIV) as a leading cause of mortality worldwide. The aim of this study was to investigate the treatment outcome of tuberculosis, and factors associated with treatment outcome of tuberculosis in TB patients enrolled in Arsi-Robe Hospital, Oromia regional state, South eastern Ethiopia between January 2013 to December 2017. Methods: An Institutional-based retrospective study was conducted in Arsi-Robe Hospital from 2013 to 2017 in study patients who had all forms of TB in DOTS clinic. The predictors of treatment outcomes were analyzed through bivariate and multivariable logistic regression analysis and a P-value < 0.05 were considered statistically significant. Results: Out of the 257 registered TB patients, most of them were males (57.9%), from rural areas (62.6%) and in age of 15-24 category (39.3%). PTB-, PTB+ and EPTB were recorded in 48.2%, 32% and 19.8% of the patients, respectively. Among all cases, 8.6% had TB-HIV co-infection. Among all TB cases, 84.0% had successful treatment outcome. TB patients from urban areas (AOR: 3.34, 95% CI: 1.338.38, P = 0.01), with failure treatment (AOR: 6.66, 95% CI = 1.12- 39.57; P = 0.037) and HIV positive (AOR: 4.92, 95% CI = 1.38-17.51; P = 0.014) had higher odd of unsuccessful treatment outcome of tuberculosis. However, TB patients with PTB+ (AOR: 0.1470, 95% CI = 0.031-0.687; P = 0.015) and EPTB (AOR: 0.194, 95% CI = 0.054-0.688; P = 0.011) had significantly lesser odd of unsuccessful treatment outcome. Conclusions: Being urban resident, treatment failure and HIV positive considerably challenge the treatment outcome of tuberculosis, but being PTB+ and EPTB were associated with higher treatment success rate of TB. Continuous follow-up of patients with unsuccessful treatment outcome of tuberculosis with strengthened implementation of the DOTs strategies are suggested. Trial Registered: retrospectively registered

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Behavioral Factors Associated with Medication Nonadherence in Patients with Hypertension

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18189614 ◽

2021 ◽

Vol 18 (18) ◽

pp. 9614

Author(s):

Shu-Mei Chang ◽

I-Cheng Lu ◽

Yi-Chun Chen ◽

Chin-Feng Hsuan ◽

Yin-Jin Lin ◽

...

Keyword(s):

Protective Factor ◽

Multivariable Logistic Regression Analysis ◽

Behavioral Factors ◽

Medication Nonadherence ◽

Hypertensive Patients ◽

Factors Associated ◽

Diet Supplements ◽

Increased Risk ◽

Medication Dose ◽

Male Sex

Medication nonadherence is associated with an increased risk of complications in hypertensive patients. We investigated behavioral factors associated with medication nonadherence in hypertensive patients in southern Taiwan. Using questionnaires, we collected data regarding clinicodemographic characteristics and nonadherence behaviors from 238 hypertensive patients. We assessed the self-reported prevalence of specific behaviors of medication nonadherence and investigated factors associated with each behavior using multivariable logistic regression analysis. The most common behavior of medication nonadherence was forgetting to take medication (28.6%), followed by discontinuing medication (9.2%) and reducing the medication dose (8.8%). Age ≥ 65 years (adjusted odds ratio [aOR] = 0.32, 95% confidence interval [CI] = 0.15–0.69) and male sex (aOR = 2.61, CI = 1.31–5.19) were associated with forgetting to take medication. The presence of comorbidities (diabetes, kidney disease, or both) and insomnia (aOR = 3.97, 95% CI = 1.30–12.1) was associated with reducing the medication dose. The use of diet supplements was associated with discontinuing the medication (aOR = 4.82, 95% CI = 1.50–15.5). Compliance with a low oil/sugar/sodium diet was a protective factor against discontinuing medication (aOR = 0.14; 95% CI = 0.03–0.75). The most pervasive behavior associated with medication nonadherence among hypertensive patients was forgetting to take medication. Age <65 years, male sex, comorbidities, insomnia, noncompliance with diet, and the use of dietary supplements were specifically associated with medication nonadherence.

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Novel Approach to Cardiovascular Outcome Prediction in Haemodialysis Patients

American Journal of Nephrology ◽

10.1159/000444924 ◽

2016 ◽

Vol 43 (3) ◽

pp. 143-152 ◽

Cited By ~ 8

Author(s):

Diana Chiu ◽

Nik Abidin ◽

Laura Johnstone ◽

Michelle Chong ◽

Vaidehi Kataria ◽

...

Keyword(s):

Arterial Stiffness ◽

Cardiac Death ◽

Cox Regression ◽

Global Longitudinal Strain ◽

Left Ventricular ◽

Survival Models ◽

Cardiac Events ◽

Combined Model ◽

Factors Associated ◽

All Cause Mortality

Background: Cardiovascular mortality is high in haemodialysis (HD) patients. Arterial stiffness and global longitudinal strain (GLS) are important non-atheromatous cardiovascular risk predictors. No study has encompassed both parameters in a combined model for prediction of outcomes in HD patients. This is important because left ventricular (LV) dysfunction can result from fibrotic remodelling secondary to increased arterial stiffness. Methods: Two hundred and nineteen HD patients had pulse wave velocity (PWV) and echocardiography (including GLS) assessments. Patients were followed-up until death, transplantation or November 16, 2015, whichever happened first. Pearson's correlation coefficient was used to determine factors associated with PWV and GLS. A multivariable Cox regression model investigated factors associated with all-cause, cardiac death and events. Results: One hundred and ninety eight HD patients had full datasets (median age 64.2, 68.7% males) with a mean LV ejection fraction (LVEF) of 61.7 ± 10.1% and GLS -13.5 ± 3.3%; 51% had LV hypertrophy. Forty eight deaths (15 cardiac) and 44 major cardiac events occurred during a median follow-up of 27.6 (25th-75th percentile, 17.3-32.7) months. In separate survival models, PWV and GLS were independently associated with all-cause mortality; however, in a combined model, LV mass indexed to height2.7 (LVMI/HT2.7; adjusted hazard ratio (HR) 1.02, 95% CI 1.00-1.04) and PWV (adjusted HR 1.23, 95% CI 1.03-1.47) were significant. PWV was neither associated with cardiac death nor associated with related cardiac events. However, GLS was associated with cardiac death (adjusted HR 1.24, 95% CI 1.00-1.54) and cardiac events (adjusted HR 1.13, 95% CI 1.03-1.25). Conclusions: PWV and LVMI/HT2.7 were superior to GLS in prediction of all-cause mortality. However, GLS was associated with cardiac death and events even when accounting for LVEF and LVMI/HT2.7.

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Abstract 13030: Causes of Cardiovascular and Non-cardiovascular Mortality in the Ischemia Trial

Circulation ◽

10.1161/circ.142.suppl_3.13030 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Mandeep S Sidhu ◽

Karen P Alexander ◽

Zhen Huang ◽

Sean M O’Brien ◽

Bernard R Chaitman ◽

...

Keyword(s):

Management Strategies ◽

Multivariable Analysis ◽

International Study ◽

Factors Associated ◽

Clinical Events ◽

All Cause Mortality ◽

History Of ◽

Multivariable Analyses ◽

Clinical Events Committee

Background: In the ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) trial, all-cause mortality was similar in patients with stable ischemic heart disease (SIHD) randomized to invasive (INV) and conservative (CON) management strategies. This analysis details specific causes of cardiovascular (CV) and non-CV mortality by treatment group. Methods: In ISCHEMIA, 289 deaths occurred after a median follow-up of 3.2 years; 145 (5.6%) in INV and 144 (5.6%) in CON (HR 1.05, CI 0.83-1.32). Deaths were adjudicated by an independent Clinical Events Committee as CV, non-CV with or without a CV contributor or undetermined. The protocol defined CV death as deaths from CV causes, non-CV causes with CV contributor, and cause undetermined; non-CV death was defined as death from non-CV causes without a CV contributor. Multivariable analyses were used to identify factors associated with cause-specific death. Results: CV death was similar between groups [INV 92 (3.6%), CON 111 (4.3%); HR 0.87 (CI 0.66, 1.15)], but INV had more non-CV death [INV 53 (2.0%), CON 33 (1.3%); HR 1.63 (CI 1.06, 2.52)]; fewer undetermined deaths [INV 12 (0.5%) and CON 26 (1.0%); HR 0.48 (0.24, 0.95)] and more malignancy deaths [INV 41 (1.6%), CON 20 (0.8%); HR 2.11 (1.24, 3.61)]. In multivariable analysis, risk factors associated with CV death were age [HR 1.42 (CI 1.19-1.70) per 10-year increase], diabetes [HR 1.39 (CI 1.03-1.87)], history of heart failure [HR 1.96 (CI 1.33-2.91)], and eGFR [HR 1.18 (CI 1.11-1.26) per 5-ml/min decrease below 80ml/min]. Factors associated with non-CV death were age [HR 2.31 (CI 1.75-3.03) per 10-year increase] and randomization to INV [HR 1.76 (CI 1.13-2.75)]. Conclusions: In ISCHEMIA, all-cause mortality was similar for the INV and CON strategies. Excess non-CV deaths in INV with a higher number of deaths from malignancy but a higher number of undetermined deaths in CON requires further evaluation.

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Prehospital factors associated with death on hospital arrival after traffic crash in Japan: a national observational study

BMJ Open ◽

10.1136/bmjopen-2018-025350 ◽

2019 ◽

Vol 9 (1) ◽

pp. e025350

Author(s):

Yusuke Katayama ◽

Tetsuhisa Kitamura ◽

Kosuke Kiyohara ◽

Junya Sado ◽

Tomoya Hirose ◽

...

Keyword(s):

Logistic Regression ◽

Rural Area ◽

Multivariable Logistic Regression Analysis ◽

Night Time ◽

Hospital Arrival ◽

Traffic Crash ◽

Factors Associated ◽

Back Seat ◽

Multivariable Logistic Regression ◽

Male Sex

ObjectiveAlthough it is important to assess prehospital factors associated with traffic crash fatalities to decrease them as a matter of public health, such factors have not been fully revealed.MethodsUsing data from the Japanese Trauma Data Bank, a large hospital-based trauma registry in Japan, we retrospectively analysed traffic crash patients transported to participating facilities that treated patients with severe trauma from 2004 to 2015. This study defined registered emergency patients whose systolic blood pressure was 0 mm Hg or heart rate was 0 bpm at hospital arrival as being in prehospital cardiopulmonary arrest (CPA). Prehospital factors associated with prehospital CPA due to traffic crash were assessed with multivariable logistic regression analysis.ResultsIn total, 66 243 patients were eligible for analysis. Of them, 3390 (5.1%) patients were in CPA at hospital arrival. A multivariable logistic regression model showed the following factors to be significantly associated with prehospital CPA: ages 60–74 years (adjusted OR (AOR) 1.256, 95% CI 1.142 to 1.382) and ≥75 years (AOR 1.487, 95% CI 1.336 to 1.654), male sex (AOR 1.234, 95% CI 1.139 to 1.338), night-time (AOR 1.575, 95% CI 1.458 to 1.702), weekend including holiday (AOR 1.078, 95% CI 1.001 to 1.161), rural area (AOR 1.181, 95% CI 1.097 to 1.271), back seat passenger (AOR 1.227, 95% CI 0.985 to 1.528) and pedestrian (AOR 1.754, 95% CI 1.580 to 1.947) as types of patients.ConclusionIn this population, factors associated with prehospital CPA due to a traffic crash were elderly people, male sex, night-time, weekend/holiday, back seat passenger, pedestrian and rural area. These fundamental data may be of help in reducing and preventing traffic crash deaths.

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Determinants of the Continuum of Maternal Healthcare Services in Northwest Ethiopia: Findings from the Primary Health Care Project

Journal of Pregnancy ◽

10.1155/2020/4318197 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Asmamaw Atnafu ◽

Adane Kebede ◽

Bisrat Misganaw ◽

Destaw Fetene Teshome ◽

Gashaw Andargie Biks ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Service Delivery ◽

Health Facility ◽

Logistic Regression Analysis ◽

Healthcare Services ◽

Multivariable Logistic Regression Analysis ◽

Maternal Healthcare ◽

Factors Associated ◽

The Continuum

Background. The maternity continuum of care is the continuity of maternal healthcare services that a woman uses, which includes antenatal care (ANC 4+), skill birth attendant (SBA), and postnatal care (PNC) within 48 hours of delivery. It is one of the essential strategies for reducing maternal and newborn mortality. This study aimed to assess the factors associated with the completion of a continuum of maternal healthcare services among mothers who gave birth in the past five years. Methods. A community-based cross-sectional study was conducted from May 01 to June 29, 2019, among 565 randomly selected mothers who gave birth in five years before the study in primary healthcare project implementation districts of north Gondar zone, Amhara National Regional State, Ethiopia. Bivariable and multivariable logistic regression analysis were computed, and in the multivariable logistic regression analysis, adjusted odds ratio (AOR) with 95% confidence interval (CI) and a p value of less than 0.05 were used to identify the associated factors with completion of the continuum of maternal healthcare services. Results. The study revealed that the overall completion of the continuum of maternal healthcare services was 21.60% (95% CI: 18.20, 24.90). Women who were able to read and write (AOR: 2.70, 95% CI: 1.22, 6.04), using car/motorcycle as a means of transportation to get the health facility (AOR: 5.59, 95% CI: 2.29, 9.50), travel time less than an hour to get the health facility (AOR: 4.98, 95% CI: 2.97, 8.38), being satisfied with the service delivery (AOR: 1.89, 95% CI: 1.15, 3.11), and getting health education on maternal healthcare services in the last 6 months (AOR: 2.77, 95% CI: 1.52, 5.05) were factors associated with the completion of the continuum of maternal healthcare services. Conclusions. The completion of the continuum of maternal healthcare services was relatively low, indicating that women were not getting the likely health benefit from the present health services. Therefore, interventions should focus on increasing women’s awareness, improving the availability of services at nearby health facilities, and improving service delivery by considering women’s preferences and needs to increase their satisfaction are essential to increase the completion of maternal healthcare services.

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