scholarly journals Disentangling the contribution of hospitals and municipalities for understanding patient level differences in one-year mortality risk after hip-fracture: A cross-classified multilevel analysis in Sweden

PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0234041
Author(s):  
Pia Kjær Kristensen ◽  
Raquel Perez-Vicente ◽  
George Leckie ◽  
Søren Paaske Johnsen ◽  
Juan Merlo
Keyword(s):  
Hip Fracture ◽  
Multilevel Analysis ◽  
Mortality Risk ◽  
Patient Level ◽  
One Year

scholarly journals Mortality in older adults following a fragility fracture: real-world retrospective matched-cohort study in Ontario

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jacques P. Brown ◽  
Jonathan D. Adachi ◽  
Emil Schemitsch ◽  
Jean-Eric Tarride ◽  
Vivien Brown ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hip Fracture ◽  
Fragility Fracture ◽  
Mortality Risk ◽  
Real World ◽  
First Year ◽  
Matched Cohort ◽  
Matched Cohort Study ◽  
Fracture Cohort ◽  
One Year

Abstract Background Recent studies are lacking reports on mortality after non-hip fractures in adults aged > 65. Methods This retrospective, matched-cohort study used de-identified health services data from the publicly funded healthcare system in Ontario, Canada, contained in the ICES Data Repository. Patients aged 66 years and older with an index fragility fracture occurring at any osteoporotic site between 2011 and 2015 were identified from acute hospital admissions, emergency and ambulatory care using International Classification of Diseases (ICD)-10 codes and data were analyzed until 2017. Thus, follow-up ranged from 2 years to 6 years. Patients were excluded if they presented with an index fracture occurring at a non-osteoporotic fracture site, their index fracture was associated with a trauma code, or they experienced a previous fracture within 5 years prior to their index fracture. This fracture cohort was matched 1:1 to controls within a non-fracture cohort by date, sex, age, geography and comorbidities. All-cause mortality risk was assessed. Results The survival probability for up to 6 years post-fracture was significantly reduced for the fracture cohort vs matched non-fracture controls (p < 0.0001; n = 101,773 per cohort), with the sharpest decline occurring within the first-year post-fracture. Crude relative risk of mortality (95% confidence interval) within 1-year post-fracture was 2.47 (2.38–2.56) in women and 3.22 (3.06–3.40) in men. In the fracture vs non-fracture cohort, the absolute mortality risk within one year after a fragility fracture occurring at any site was 12.5% vs 5.1% in women and 19.5% vs 6.0% in men. The absolute mortality risk within one year after a fragility fracture occurring at a non-hip vs hip site was 9.4% vs 21.5% in women and 14.4% vs 32.3% in men. Conclusions In this real-world cohort aged > 65 years, a fragility fracture occurring at any site was associated with reduced survival for up to 6 years post-fracture. The greatest reduction in survival occurred within the first-year post-fracture, where mortality risk more than doubled and deaths were observed in 1 in 11 women and 1 in 7 men following a non-hip fracture and in 1 in 5 women and 1 in 3 men following a hip fracture.

Mortality after proximal hip fracture in the Singapore population

2005 ◽  
Vol 15 (3) ◽  
pp. 166-170 ◽  
Author(s):  
K.H. Lin ◽  
Y.W. Lim ◽  
Y.J. Wu ◽  
K.S. Lam
Keyword(s):  
Hip Fracture ◽  
Mortality Risk ◽  
Cox Regression ◽  
Regional Hospital ◽  
Age Group ◽  
Risk Of Death ◽  
The Past ◽  
The Mean ◽  
One Year

The aims were to prospectively assess the mortality risk following proximal hip fractures, identify factors predictive of increased mortality and to investigate the time trends in mortality with comparison to previous studies. Prospectively collected data from 68 consecutive patients who had been admitted to a regional hospital from May 2001 to September 2001 were reviewed. The mean age of the patients was 79.3 years old (range, 55–98) and 72.1% females. Patients were followed prospectively to determine the mortality risk associated with hip fracture over a two-year follow-up period. The acute in-hospital mortality rate at six months, one year and two years was 5.9% (4/68), 14.7% (10/68), 20.6% (14/68) and 25% (17/68) respectively. One-year and two-year mortality for those patients who were 80 or older was significantly higher than for other patients and the number of co-morbid illnesses also had significant effect. Cox regression was performed to determine the significant predictors for survival time. It was noted that patients 80 years or older were at higher risk of death compared with those less than 80 years as well as those with higher number of co-morbid illnesses. Our mortality rates have not declined in the past 10 years when compared with previous local studies. We conclude that for this group of patients studied, their mortality at one year and two years could be predicted by their age group and their number of co-morbid illnesses.

Hip Fracture Confers Significantly Greater Mortality Risk in Older Adults Relative to Other Lower Extremity Fractures (Preprint)

2021 ◽  
Author(s):  
Andrea Dimet ◽  
George Golovko ◽  
Stanley Watowich
Keyword(s):  
Older Adults ◽  
Hip Fracture ◽  
Propensity Score ◽  
Lower Extremity ◽  
Elderly Patients ◽  
Propensity Score Matching ◽  
Mortality Risk ◽  
Mortality Rates ◽  
One Year ◽  
Fracture Types

BACKGROUND Hip fracture in older adults is tied to increased mortality risk. Deconvolution of the mortality risk specific to hip fracture from that of various other fracture types has not been performed in recent hip fracture studies, but is critical to determining current unmet needs for therapeutic intervention. OBJECTIVE This study examined whether hip fracture increases the one-year post-fracture mortality rate relative to several other fracture types and determined if dementia or type 2 diabetes (T2D) exacerbates post-fracture mortality risk. METHODS TriNetX Diamond Network data were used to identify elderly patients that suffered a single fracture event of the hip, the upper humerus, or several regions near and distal to the hip between 2010-2019. Propensity-score matching, Kaplan-Meier, and hazard ratio analyses were performed for all fracture groupings relative to hip fracture. One-year post-fracture mortality rates in elderly populations with dementia or T2D were established. RESULTS One-year mortality rates following hip fracture consistently exceeded all other lower extremity fracture groupings as well as the upper humerus. Survival probabilities were dramatically lower in the hip fracture groups even after propensity score-matching cohorts for variety of broad categories of characteristics. Dementia in younger elderly cohorts acted synergistically with hip fracture to exacerbate one-year mortality risk. T2D did not exacerbate one-year mortality risk beyond mere additive effects. CONCLUSIONS Elderly patients post-hip fracture have a significantly decreased survival probability. Greatly increased one-year mortality rates following hip fracture may arise from differences in bone quality, bone density, trauma, concomitant fractures, post-fracture treatments or diagnoses, restoration of pre-fracture mobility, or a combination thereof. The synergistic effect of dementia may suggest detrimental mechanistic or behavioral combinations between these two comorbidities Renewed efforts should focus on modulating the mechanisms behind this heightened mortality risk, with particular attention to mobility and comorbid dementia.

Hip Fracture Increased 1-Year Mortality Risk

2011 ◽  
Vol 41 (17) ◽  
pp. 2
Author(s):  
MARY ANN MOON
Keyword(s):  
Hip Fracture ◽  
Mortality Risk

How mortality risk estimated by MAGGIC-HF, SHFM and BCN-Bio HF scores is modified after 12-month management in a multidisciplinary HF Clinic

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P Codina ◽  
M De Antonio ◽  
E Santiago-Vacas ◽  
M Domingo ◽  
E Zamora ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Risk Estimation ◽  
Risk Scores ◽  
Paired Data ◽  
Web Based ◽  
Risk Of Death ◽  
Estimated Risk ◽  
Contemporary Management ◽  
One Year ◽  
Missing Variables

Abstract Background Heart failure (HF) contemporary management has significantly improved over the past two decades leading to better survival. How application of the contemporary HF management guidelines affects the risk of death estimated by available web-based risk scores is not elucidated. Objective To assess changes in mortality risk prediction after a after a 12-month management period in a multidisciplinary HF Clinic. Methods Out of 1,689 consecutive patients with HF admitted at our ambulatory HF Clinic from May 2006 to November 2018, those who completed one year follow-up were considered for the study. Patients without NTproBNP measurement or with more than 3 missing variables for risk estimation were excluded. Three contemporary web-based HF risk scores were evaluated: MAGGIC-HF, Seattle HF Model (SHFM) and the Barcelona Bio-HF Calculator containing NTproBNP (BCN Bio-HF). Risk of all-cause death at one year and at 3 years were calculated at baseline and re-evaluated after 12-month management in a multidsisciplinary HF Clinic. Wilcoxon paired data test was used to compare changes in mortality risk estimation over time and test equality of matched pairs for comparing estimated change among tools. 442 patients used to derive the Barcelona Bio-HF Calculator were excluded for discrimination purposes. Results 1,157 patients were included (age 65.7±12.7 years, 70.4% men). A significant reduction in mortality risk estimation was observed with the three HF risk scores evaluated at 12-months (Table). The BCN Bio-HF model showed significantly different changes in risk estimation, fact that indeed was partnered with numerically better discrimination. AUC at 1 and 3 years, respectively, were: BCN Bio-HF (0.773 and 0.775), MAGGIC HF (0.686 and 0.748) and SHFM (0.773 and 0.739). Conclusions The three web-based risk scores evaluated showed a significant reduction in mortality risk estimation after 12 month management in a multidisciplinary HF Clinic. The BCN Bio-HF score showed higher reduction in estimated risk, together with better discrimination, likely because it incorporates contemporary treatment and use of biomarkers. Funding Acknowledgement Type of funding source: None

scholarly journals Four or Twelve Months' Follow-Up in the Evaluation of Functional Outcome after Hip Fracture Surgery?

2005 ◽  
Vol 94 (1) ◽  
pp. 59-66 ◽  
Author(s):  
T. Heikkinen ◽  
P. Jalovaara
Keyword(s):  
Hip Fracture ◽  
Repeated Measures ◽  
The Elderly ◽  
Important Variable ◽  
Walking Ability ◽  
Hip Fracture Surgery ◽  
Age Related ◽  
Walking Aids ◽  
One Year

Background and Aims: As a rule, follow-up for at least one year is recommended for fracture studies. This is considered the shortest reliable interval. Still, in the case of hip fractures of the elderly, shorter follow-up might be more practical, since the life expectancy of these patients is often short. The aim of this study was to see if a short four months follow-up period would be acceptable in hip fracture surveys. Material and Methods: Information on 196 consecutive non-pathological hip fracture patients aged 50 years or over (mean 79 years) was collected using a standardised hip fracture audit concentrating on functional measurements at admission and at four and twelve months' follow-ups. Results: 167 patients were alive at four months and 152 and at one year. The patients who died between four and twelve months had poorer functional capacity in the four-month evaluation than those who survived one year. The analysis of repeated measures, including only the patients alive at the last follow-up, showed that residential status, use of walking aids and 6 out of 10 and ADL variables (bathing, toileting, shopping, household activities, doing laundry, banking) did not change significantly. Walking ability and the rest 4 ADL variables (dressing, eating, food preparation, use of transportation) improved and pain decreased. Conclusions: Due to high mortality and age-related deterioration of functioning, no steady state i.e. “final result” is ever reached after hip fracture in the elderly. Four-month follow-up is justified as the shortest possible period, because the socioeconomically most important variable, i.e. place of living, and most of the ADL functions do not change significantly after that.

Archival Big Data and the Spanish Flu in Copenhagen

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kim Abildgren
Keyword(s):  
Big Data ◽  
Birth Cohort ◽  
Mortality Risk ◽  
Early Life ◽  
Birth Cohorts ◽  
Content Type ◽  
Individual Level ◽  
Early Life Exposure ◽  
Spanish Flu ◽  
One Year

Purpose The Spanish Flu 1918–1920 saw a high degree of excess mortality among young and healthy adults. The purpose of this paper is a further exploration of the hypothesis that high mortality risk during The Spanish Flu in Copenhagen was associated with early life exposure to The Russian Flu 1889–1892. Design/methodology/approach Based on 37,000 individual-level death records in a new unique database from The Copenhagen City Archives combined with approximate cohort-specific population totals interpolated from official censuses of population, the author compiles monthly time series on all-cause mortality rates 1916–1922 in Copenhagen by gender and one-year birth cohorts. The author then analyses birth cohort effects on mortality risk during The Spanish Flu using regression analysis. Findings The author finds support for hypotheses relating early life exposure to The Russian Flu to mortality risk during The Spanish Flu. Some indications of possible gender heterogeneity during the first wave of The Spanish Flu – not found in previous studies – should be a topic for future research based on data from other countries. Originality/value Due to lack of individual-level death records with exact dates of birth and death, previous studies on The Spanish Flu in Denmark and many other countries have relied on data with lower birth cohort resolutions than the one-year birth cohorts used in this study. The analysis in this paper illustrates how archival Big Data can be used to gain new insights in studies on historical pandemics.

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