The risk of debilitating falls (DF) in Manitobans living with cancer.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e17596-e17596
Author(s):  
Joel Roger Gingerich ◽  
Pascal Lambert ◽  
Malcolm Doupe ◽  
Marshall W. Pitz ◽  
Paul Joseph Daeninck

e17596 Background: Falls and fall-related injuries pose important patient safety challenges. We sought to measure if cancer patients are at increased risk of DF. Methods: This retrospective population-based study was conducted by linking the Manitoba Cancer Registry with health care use records from Manitoba, Canada. All community-dwelling patients who were diagnosed with cancer from 2005-08 were matched with up to three cancer-free controls. DF were defined as falls requiring hospitalization and were identified using ICD-9 and -10 billing codes. A competing risk model was used to compare DF between cancer and cancer-free cohorts and expressed as sub-hazard ratios (SHR). Comparisons across groups were adjusted for age, sex, medication use, region of residence, and the presence of co-morbidities. Results: 22,327 cancer patients were matched to 67,927 controls. The median age was 66.5 years, and the median length of follow-up was 1.98 years. The cumulative 1 and 3-year incidence of DF are shown in the Table. (The adjusted risk of DF was significantly decreased in cancer patients versus matched controls ≥ 80 years old; SHR = 0.82 (95% CI: 0.57 – 0.97, p = 0.03). The adjusted SHR for stages I, II, III and IV in those ≥ 80 were 0.83 (95% CI: 0.64 - 1.09, p 0.18), 0.69 (95% CI: 0.51 - 0.93, p = 0.02), 0.56 (95% CI: 0.38 - 0.83, p < 0.01), and 0.45 (95% CI: 0.31 - 0.66, p < 0.01), respectively. Conclusions: The risk of DF in cancer and non-cancer patients increases with age. When compared to matched controls, only cancer patients ≥ 80 with advanced stage cancers were at decreased risk of DF. This finding is likely due to the higher competing risk of death in cancer patients (i.e., of those ≥ 80, 40.2% with cancer versus 4.0% without cancer die within one year). [Table: see text]

2019 ◽  
Vol 35 (1) ◽  
pp. 34-41
Author(s):  
Yueh-Che Hsieh ◽  
Po-Yang Tsou ◽  
Yu-Hsun Wang ◽  
Christin Chih-Ting Chao ◽  
Wan-Chien Lee ◽  
...  

Objectives: Predictors for post-sepsis myocardial infarction (MI) and stroke are yet to be identified due to the competing risk of death. Methods: This study included all hospitalized patients with sepsis from National Health Insurance Research Database of Taiwan between 2000 and 2011. The primary outcome was the first occurrence of MI and stroke requiring hospitalization within 180 days following hospital discharge from the index sepsis episode. The association between predictors and post-sepsis MI and stroke were analyzed using cumulative incidence competing risk model that controlled for the competing risk of death. Results: Among 42 316 patients with sepsis, 1012 (2.4%) patients developed MI and stroke within 180 days of hospital discharge. The leading 5 predictors for post-sepsis MI and stroke are prior cerebrovascular diseases (hazard ratio [HR]: 2.02, 95% confidence interval [CI]: 1.74-2.32), intra-abdominal infection (HR: 1.94, 95% CI: 1.71-2.20), previous MI (HR: 1.81, 95% CI: 1.53-2.15), lower respiratory tract infection (HR: 1.62, 95% CI: 1.43-1.85), and septic encephalopathy (HR: 1.61, 95% CI: 1.26-2.06). Conclusions: Baseline comorbidities and sources of infection were associated with an increased risk of post-sepsis MI and stroke. The identified risk factors may help physicians select a group of patients with sepsis who may benefit from preventive measures, antiplatelet treatment, and other preventive measures for post-sepsis MI and stroke.


2012 ◽  
Vol 24 (7) ◽  
pp. 1058-1064 ◽  
Author(s):  
Natasa Gisev ◽  
Sirpa Hartikainen ◽  
Timothy F. Chen ◽  
Mikko Korhonen ◽  
J. Simon Bell

ABSTRACTBackground: Antipsychotics are associated with adverse events and mortality among older adults with dementia. The objective of this study was to evaluate the risk of death associated with antipsychotic use among community-dwelling older adults with a range of comorbidities.Methods: This was a population-based cohort study of all 2,224 residents of Leppävirta, Finland, aged ≥65 years on 1 January 2000. Records of all reimbursed drug purchases were extracted from the Finnish National Prescription Register and diagnostic data were obtained from the Special Reimbursement Register. All-cause mortality was evaluated over a nine-year follow-up period. Time-dependent Cox proportional hazard models were used to compute unadjusted and adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of mortality of antipsychotic use compared to non-use.Results: In total, 332 residents used antipsychotics between 2000 and 2008. The unadjusted HR for risk of death associated with antipsychotic use was 2.71 (95% CI = 2.3–3.2). After adjusting for baseline age, sex, antidepressant use, and diagnostic confounders, the HR was 2.07 (95% CI = 1.73–2.47). The adjusted HR was the highest among antipsychotic users with baseline respiratory disease (HR = 2.21, 95% CI = 1.30–3.76).Conclusions: The increased risk of death associated with antipsychotic use was similar across diagnostic categories, the highest being among those with baseline respiratory disease. However, the results should be interpreted with caution, as the overall sample size of antipsychotic users was small. As in other observational studies, residual confounding may account for the higher mortality observed among antipsychotic users. Further research is needed to confirm these findings.


2018 ◽  
Vol 10 (11) ◽  
pp. 317-326 ◽  
Author(s):  
Taylor Peak ◽  
Andrew Chapple ◽  
Grayson Coon ◽  
Ashok Hemal

Background: To utilize a semi-competing risk model to predict perioperative and oncologic outcomes after radical cystectomy and to compare the findings with the univariate Cox regression model. Methods: We reviewed the Institutional Review Board approved database of radical cystectomy of 316 patients who had undergone robot-assisted radical cystectomy (RARC) or open radical cystectomy between 2006 and 2016. Demographic data, perioperative outcomes, complications, metastasis, and survival were analyzed. The Bayesian variable selection method was utilized to obtain models for each hazard function in the semi-competing risks. Results: Of 316 patients treated, 48% and 18% experienced any or major complication respectively within 30 days. Intracorporeal RARC was associated with decreased metastasis risk. Extracorporeal RARC was associated with marginally decreased risks of overall complications or major complications. Patients with advanced cancer had an increased risk of metastasis, death after metastasis and death after complication. Positive nodes were associated with an increased risk of death without overall or major complications and increased risk of death after metastasis occurs. When a serious complication was taken into account there was no significant difference in mortality, irrespective of disease stage. Conclusions: A semi-competing risk model provides relatively more accurate information in comparison to Cox regression analysis in predicting risk factors for complications and metastasis in patients undergoing radical cystectomy.


2019 ◽  
Vol 65 (3) ◽  
pp. 321-329
Author(s):  
David Zaridze ◽  
Anush Mukeriya

Smoking not only increases the risk of the development of malignant tumors (MT), but affects the disease prognosis, mortality and survivability of cancer patients. The link between the smoking of cancer patients and increased risk of death by all diseases and oncological causes has been established. Mortality increases with the growth of the smoking intensity, i.e. the number of cigarettes, smoked per day. Smoking is associated with the worst general and oncological survivability. The statistically trend-line between the smoking intensity and survivability was observed: each additional unit of cigarette consumption (pack/year) leads to the Overall Survival Reduction by 1% (p = 0.002). The link between smoking and the risk of developing second primary tumors has been confirmed. Smoking increases the likelihood of side effects of the antitumor therapy both drug therapy and radiation therapy and reduces the treatment efficacy. The smoking cessation leads to a significant improvement in the prognosis of a cancer patient. Scientific data on the negative effect of smoking on the prognosis of cancer patients have a major clinical importance. The treatment program for cancer patients should include science-based methods for the smoking cessation. The latter is fundamentally important, taking into account that the smoking frequency among cancer patients is much higher than in the population.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 322-322
Author(s):  
B. Samhouri ◽  
R. Vassallo ◽  
S. Achenbach ◽  
V. Kronzer ◽  
J. M. Davis ◽  
...  

Background:Rheumatoid arthritis (RA) is a systemic inflammatory disease of the joints and other organs, including the lungs.1 Interstitial lung disease (ILD) is a lung injury pattern associated with significant symptom burden and poor outcomes in RA.2 Better understanding of its risk factors could help with disease prevention and treatment.Objectives:Using a population-based cohort, we sought to ascertain the incidence and risk factors of RA-associated ILD (RA-ILD) in recent years.Methods:The study included adult residents of Olmsted County, Minnesota with incident RA between 1999 and 2014 based on the 1987 ACR classification criteria.3 Study subjects were followed until death, migration, or 4/30/2019. ILD was defined by the presence of bilateral interstitial fibrotic changes (excluding biapical scarring) on chest computed tomography (CT). In the absence of chest CT imaging, a physician’s diagnosis of ILD in conjunction with chest X-ray findings suggestive of ILD and a restrictive pattern on pulmonary function testing (defined as a total lung capacity less than the lower limit of normal) was considered diagnostic of ILD. Evaluated risk factors included age, sex, calendar year, smoking status, body mass index (BMI) and presence/absence of rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPA). Cumulative incidence of ILD was adjusted for the competing risk of death. Cox models were used to assess the association between potential risk factors and the development of RA-ILD.Results:In Olmsted County, 645 residents were diagnosed with RA between 1999 and 2014. Seventy percent of patients were females, and 30% were males; median age at RA diagnosis was 55.3 [IQR 44.1-66.6] years, and most patients (89%) were white. Fifty-three percent of patients were never-smokers, and 64% had seropositive RA. Forty percent were obese (i.e., BMI ≥30 kg/m2); median BMI was 28.3 [IQR 24.3-33.0] kg/m2.In the cohort, ILD was identified in 73 patients. The ILD diagnosis predated RA diagnosis in 22 patients (3.4%) who were excluded from subsequent analyses. Final analyses included the remaining 623 patients with no ILD preceding, or at the time of RA diagnosis. Over a median follow-up interval of 10.2 [IQR 6.5-14.3] years, 51 patients developed ILD. Cumulative incidence of ILD, adjusted for the competing risk of death, was 4.3% at 5 years; 7.8% at 10 years; 9.4% at 15 years; and 12.3% at 20 years after RA diagnosis (Figure 1).Age, and history of smoking at RA diagnosis correlated with the incidence of ILD; adjusted hazard ratios (HRs) were 1.89 per 10-year increase in age (95% confidence interval 1.52-2.34) and 1.94 (95% confidence interval 1.10-3.42), respectively. On the other hand, sex (HR: 1.21; 95% CI: 0.68-2.17), BMI (HR: 0.99; 95% CI: 0.95-1.04), obesity (HR: 0.89; 95% CI: 0.50-1.58), and seropositivity (HR: 1.15; 95% CI: 0.65-2.03) did not demonstrate significant associations with ILD.Conclusion:This study provides a contemporary estimate of the occurrence of ILD in a well-characterized population-based cohort of patients with RA. Our findings of a lack of association between sex, obesity and seropositivity with ILD may indicate a change in established risk factors for ILD and warrant further investigation.References:[1]Shaw M, Collins BF, Ho LA, Raghu G. Rheumatoid arthritis-associated lung disease. Eur Respir Rev. 2015;24(135):1-16. doi:10.1183/09059180.00008014[2]Bongartz T, Nannini C, Medina-Velasquez YF, et al. Incidence and mortality of interstitial lung disease in rheumatoid arthritis - A population-based study. Arthritis Rheum. 2010;62(6):1583-1591. doi:10.1002/art.27405[3]Aletaha D, Neogi T, Silman AJ, et al. 2010 Rheumatoid arthritis classification criteria: An American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62(9):2569-2581. doi:10.1002/art.27584Figure 1.Cumulative incidence of ILD in patients diagnosed with RA between 1999 and 2014, adjusted for the competing risk of death. Abbreviations. ILD: interstitial lung disease; RA: rheumatoid arthritis.Disclosure of Interests:Bilal Samhouri: None declared, Robert Vassallo Grant/research support from: Research grants from Pfizer, Sun Pharmaceuticals and Bristol Myers Squibb, Sara Achenbach: None declared, Vanessa Kronzer: None declared, John M Davis III Grant/research support from: Research grant from Pfizer., Elena Myasoedova: None declared, Cynthia S. Crowson: None declared


Gerontology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Lee Butcher ◽  
Jose Antonio Carnicero ◽  
Karine Pérès ◽  
Marco Colpo ◽  
David Gomez Cabrero ◽  
...  

<b><i>Introduction:</i></b> The evidence that blood levels of the soluble receptor for advanced glycation end products (sRAGE) predict mortality in people with cardiovascular diseases (CVD) is inconsistent. To clarify this matter, we investigated if frailty status influences this association. <b><i>Methods:</i></b> We analysed data of 1,016 individuals (median age, 75 years) from 3 population-based European cohorts, enrolled in the FRAILOMIC project. Participants were stratified by history of CVD and frailty status. Mortality was recorded during 8 years of follow-up. <b><i>Results:</i></b> In adjusted Cox regression models, baseline serum sRAGE was positively associated with an increased risk of mortality in participants with CVD (HR 1.64, 95% CI 1.09–2.49, <i>p</i> = 0.019) but not in non-CVD. Within the CVD group, the risk of death was markedly enhanced in the frail subgroup (CVD-F, HR 1.97, 95% CI 1.18–3.29, <i>p</i> = 0.009), compared to the non-frail subgroup (CVD-NF, HR 1.50, 95% CI 0.71–3.15, <i>p</i> = 0.287). Kaplan-Meier analysis showed that the median survival time of CVD-F with high sRAGE (&#x3e;1,554 pg/mL) was 2.9 years shorter than that of CVD-F with low sRAGE, whereas no survival difference was seen for CVD-NF. Area under the ROC curve analysis demonstrated that for CVD-F, addition of sRAGE to the prediction model increased its prognostic value. <b><i>Conclusions:</i></b> Frailty status influences the relationship between sRAGE and mortality in older adults with CVD. sRAGE could be used as a prognostic marker of mortality for these individuals, particularly if they are also frail.


Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012973
Author(s):  
Sokratis Charisis ◽  
Eva Ntanasi ◽  
Mary Yannakoulia ◽  
Costas A Anastasiou ◽  
Mary H Kosmidis ◽  
...  

Background and objectives:Aging is characterized by a functional shift of the immune system towards a proinflammatory phenotype. This derangement has been associated with cognitive decline and has been implicated in the pathogenesis of dementia. Diet can modulate systemic inflammation; thus, it may be a valuable tool to counteract the associated risks for cognitive impairment and dementia. The present study aimed to explore the associations between the inflammatory potential of diet, assessed using an easily applicable, population-based, biomarker-validated diet inflammatory index (DII), and the risk for dementia in community-dwelling older adults.Methods:Individuals from the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD) were included in the present cohort study. Participants were recruited through random population sampling, and were followed for a mean of 3.05 (SD=0.85) years. Dementia diagnosis was based on standard clinical criteria. Those with baseline dementia and/or missing cognitive follow-up data were excluded from the analyses. The inflammatory potential of diet was assessed through a DII score which considers literature-derived associations of 45 food parameters with levels of pro- and anti-inflammatory cytokines in the blood; higher values indicated a more pro-inflammatory diet. Consumption frequencies were derived from a detailed food frequency questionnaire, and were standardized to representative dietary intake normative data from 11 different countries. Analysis of dementia incidence as a function of baseline DII scores was performed by Cox proportional hazards models.Results:Analyses included 1059 individuals (mean age=73.1 years; 40.3% males; mean education=8.2 years), 62 of whom developed incident dementia. Each additional unit of DII was associated with a 21% increase in the risk for dementia incidence [HR=1.21 (1.03 – 1.42); p=0.023]. Compared to participants in the lowest DII tertile, participants in the highest one (maximal pro-inflammatory diet potential) were 3 [(1.2 – 7.3); p=0.014] times more likely to develop incident dementia. The test for trend was also significant, indicating a potential dose-response relationship (p=0.014).Conclusions:In the present study, higher DII scores (indicating greater pro-inflammatory diet potential) were associated with an increased risk for incident dementia. These findings might avail the development of primary dementia preventive strategies through tailored and precise dietary interventions.


BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Atul Batra ◽  
Dropen Sheka ◽  
Shiying Kong ◽  
Winson Y. Cheung

Abstract Background Baseline cardiovascular disease (CVD) can impact the patterns of treatment and hence the outcomes of patients with lung cancer. This study aimed to characterize treatment trends and survival outcomes of patients with pre-existing CVD prior to their diagnosis of lung cancer. Methods We conducted a retrospective, population-based cohort study of patients with lung cancer diagnosed from 2004 to 2015 in a large Canadian province. Multivariable logistic regression and Cox regression models were constructed to determine the associations between CVD and treatment patterns, and its impact on overall (OS) and cancer-specific survival (CSS), respectively. A competing risk multistate model was developed to determine the excess mortality risk of patients with pre-existing CVD. Results A total of 20,689 patients with lung cancer were eligible for the current analysis. Men comprised 55%, and the median age at diagnosis was 70 years. One-third had at least one CVD, with the most common being congestive heart failure in 15% of patients. Pre-existing CVD was associated with a lower likelihood of receiving chemotherapy (odds ratio [OR], 0.53; 95% confidence interval [CI], 0.48–0.58; P < .0001), radiotherapy (OR, 0.76; 95% CI, 0.7–0.82; P < .0001), and surgery (OR, 0.56; 95% CI, 0.44–0.7; P < .0001). Adjusting for measured confounders, the presence of pre-existing CVD predicted for inferior OS (hazard ratio [HR], 1.1; 95% CI, 1.1–1.2; P < .0001) and CSS (HR, 1.1; 95% CI, 1.1–1.1; P < .0001). However, in the competing risk multistate model that adjusted for baseline characteristics, prior CVD was associated with increased risk of non-cancer related death (HR, 1.48; 95% CI, 1.33–1.64; P < 0.0001) but not cancer related death (HR, 0.98; 95% CI, 0.94–1.03; P = 0.460). Conclusions Patients with lung cancer and pre-existing CVD are less likely to receive any modality of cancer treatment and are at a higher risk of non-cancer related deaths. As effective therapies such as immuno-oncology drugs are introduced, early cardio-oncology consultation may optimize management of lung cancer.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4670-4670
Author(s):  
Tine Bichel Lauritsen ◽  
Lene Sofie Granfeldt Oestgaard ◽  
Kirsten Groenbaek ◽  
Susanne Oksbjerg Dalton ◽  
Jan M. Norgaard

Abstract Background: Five-year overall survival for patients with myelodysplastic syndromes (MDS) is around 30%. Adverse prognostic factors include advancing age, higher blast cell percentage, poor risk cytogenetics, two or more cytopenias, high burden of comorbidity, and transfusion-dependency. The impact of socioeconomic position on clinical outcomes in MDS patients is however unclear. In this nationwide population-based cohort-study, we therefore examined the associations between the individual-level socioeconomic markers education level, cohabitation status, and income, and the risk of progression to acute myeloid leukemia (AML), and all-cause mortality among MDS patients. Methods: Using the Danish Myelodysplastic Syndromes Database, we identified all patients with incident MDS diagnosed between January 1st 2010 and December 31th 2018. The database holds valid and detailed patient- and disease-characteristics on all Danish MDS patients diagnosed since 2010. We linked the study-population with individual-level information on education, cohabitation status, income, comorbidity, progression to AML, and vital status retrieved from high-quality Danish population-based registries. We computed absolute risks of progression to AML and all-cause mortality using the cumulative incidence (risk) function accounting for death as competing risk when AML was the outcome. Also, 1-year, 3-year, and 5-year relative risks (RRs) of progression to AML and death were computed using the pseudovalue approach. All results were given crude and adjusted for age, sex, socioeconomic position (SEP), comorbidity and subtype of MDS according to the "International Prognostic Scoring System" (IPSS) and with 95% confidence intervals (CIs). Results: The final cohort comprised 2233 MDS patients (median age 75 years, 63% males). Median follow-up time was 1.7 years. The 1-year risks of progression to AML was similar across education levels (long education (&gt;13 years): 5%, medium education (9-12 years): 6%, short education (&lt;9 years): 6%. In adjusted models, there were no associations between education, income or cohabitation status and risk of progression to AML (Table 1). Still, patients with a short education had higher 1-year all-cause mortality (33%) compared to those with medium (22%) and longer education (21%) (Figure 1). In adjusted models the risk of death one year from diagnosis was higher in patients with short vs. longer education [RR=1.26 (95% CI: 1.03-1.55)], in patients with lower vs. higher income [RR=1.43 (95% CI: 1.17-1.75)], and among patients who were living alone compared to those who lived with someone [RR=1.19 (1.02-1.39)]. The increased risk of death among patients with short education, low income, and those who lived alone persisted after 3-year and 5-years of follow-up (Table 1). Conclusion: In a real world setting, shorter education, living alone, and lower income were not associated with increased risk of progression to AML but with inferior survival in Danish MDS patients. These results suggest that in spite of "free and equal access" to healthcare and cancer treatment in Denmark, short education, living alone, and low income are adverse prognostic factors for patients with MDS. Further analyses are ongoing to get insight into the mechanisms driving these socioeconomic disparities in MDS patients. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Author(s):  
Kongying Lin ◽  
Qizhen Huang ◽  
Zongren Ding ◽  
Yongyi Zeng ◽  
Jingfeng Liu

Abstract Objectives This study was conducted to estimate the probability of cancer-specific survival (CSS) of HCC and establish a competing risk nomogram for predicting the CSS of HCC using a large population-based cohort. Methods Patients diagnosed with HCC between 2004 and 2015 were identified from the Surveillance Epidemiology and End Results Program. The CSS and overall survival (OS) were the endpoints of the study. A competing risk nomogram for predicting CSS was built with Fine and Gray’s competing risk model, and the nomogram for predicting OS was constructed with Cox proportional hazard regression models. The predictive performance of the model was tested in terms of discrimination and calibration. Results A total of 34,957 patients were included in the study and randomly divided into a training set and validation set at a ratio of 9:1. Multivariate analysis identified age, race, sex, surgical therapy, chemotherapy, radiotherapy, tumour diameter, and tumour staging as independent predictive factors of CSS. Additionally, marital status was identified as an independent predictive factor of OS. Using these factors, corresponding nomograms were constructed for CSS and OS. In the validation set, the concordance-index of the two nomogram models reached 0.810 and 0.750, respectively. Calibration curves revealed good consistency between the prediction of models and observed outcome. Furthermore, cumulative incidence function analysis and Kaplan-Meier analysis divided patients into four distinct risk subgroups, supporting the predictive performance of the models. Conclusions In this population-based analysis, we developed and validated nomograms for individualized prediction of CSS and OS in patients with HCC.


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