Socioeconomic Factors Associated with Poor Prognosis in Patients with Alcoholic Liver Cirrhosis

Abstract Background: Alcohol liver cirrhosis is a life-threatening condition, especially if alcohol cessation is not accomplished. Past studies have shown that alcohol abuse is closely linked to low socioeconomic status and social marginalization. Public assistance (PA), or Seikatsu-hogo, a Japanese public assistance ensuring medical care to low-income population, was employed as a proxy for social marginalization. This study aims to investigate the prognostic effect of being a PA recipient on overall mortality in patients with alcoholic cirrhosis.Methods: Patients diagnosed as alcoholic liver cirrhosis in a community hospital between 2006 to 2017 were included in this retrospective cohort study. Baseline demographics and mortality data were extracted from electronic health records. Cirrhosis severity at baseline was measured by mean model for end-stage liver disease (MELD) score and Albumin-Bilirubin (ALBI) score. Primary outcome was survival probability obtained by the Kapan Meier method and Cox proportional hazards regression. Results: 244 participants were included, among which 62 were PA recipients. Baseline cirrhosis severity score was not different between the two groups. Incidence proportion for overall mortality was 48.4% and 31.9% for PA recipients and non-PA recipients, respectively (p=0.002). In cox regression model, adjusted for age, ALBI score and HCV infection, hazard ratio for PA reception was1.57 (95% CI: 0.97-2.5, p=0.06). Conclusions: Being a PA recipient may be a poor prognostic factor of mortality in patients with alcoholic liver cirrhosis.

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Obesity and accumulation of subcutaneous adipose tissue are poor prognostic factors in patients with alcoholic liver cirrhosis

PLoS ONE ◽

10.1371/journal.pone.0242582 ◽

2020 ◽

Vol 15 (11) ◽

pp. e0242582

Author(s):

Akira Sakamaki ◽

Kunihiko Yokoyama ◽

Kyutaro Koyama ◽

Shinichi Morita ◽

Hiroyuki Abe ◽

...

Keyword(s):

Adipose Tissue ◽

Liver Cirrhosis ◽

Subcutaneous Adipose Tissue ◽

Poor Prognosis ◽

Cox Regression ◽

Total Bilirubin Level ◽

Alcoholic Liver Cirrhosis ◽

Poor Prognostic Factor ◽

Cox Regression Analysis ◽

Subcutaneous Adipose

In alcoholic liver cirrhosis (LC) patients, obesity has become a problem that progresses into liver dysfunction. Herein, we investigated the relationship between the prognosis of steatohepatitis and body weight, along with fat accumulation in patients with alcoholic LC. We conducted a single-center retrospective study, enrolled 104 alcoholic LC patients without hepatocellular carcinoma (HCC) based on histological and clinical evidence, and investigated factors related to poor prognosis using multivariate Cox regression and cluster analyses. Cox regression analysis revealed three independent relevant factors: subcutaneous adipose tissue (SAT) index (median 34.8 cm2/m2, P = 0.009, hazard ratio [HR] 1.017, 95% confidence interval [CI] 1.004–1.030), total bilirubin level (median 1.7 mg/dL, P = 0.003, HR 1.129, 95% CI 1.042–1.223), and prothrombin time value (median 64%, P = 0.007, HR 0.967, 95% CI 0.943–0.991). In the cluster analysis, we categorized the patients into three groups: no adipose tissue accumulation (NAT group), SAT prior accumulation (SAT group), and visceral adipose tissue prior accumulation (VAT group). The results of the three groups revealed that the SAT group displayed a significantly poor prognosis of the Kaplan–Meier curve (67.1 vs 21.2 vs 65.3, P<0.001) of a 5-year survival rate. Propensity score matching analysis of the SAT and VAT groups was performed to adjust the patient’s background, but no significant differences were found between them; however, the prognosis was poorer (21.2 vs 66.3, P<0.001), and hemostatic factors were still at a lower level in the SAT group. These findings suggest that SAT accumulation type of obesity is a poor prognostic factor in alcoholic LC patients without HCC, and the hemorrhagic tendency might worsen the poor prognosis in such cases.

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The Association between Homocysteinemia and Mortality in Pre-dialysis CKD patients: A Propensity-Score Matched Analysis Using NHANES-National Death Index Link

10.21203/rs.3.rs-948936/v1 ◽

2021 ◽

Author(s):

Je Hun Song ◽

Hyuk Huh ◽

Eunjin Bae ◽

Jeonghwan Lee ◽

Jung Pyo Lee ◽

...

Keyword(s):

Risk Factor ◽

Propensity Score ◽

Proportional Hazards ◽

Cox Regression ◽

Cox Proportional Hazards ◽

Mortality Data ◽

Protein Energy Wasting ◽

Cox Regression Analysis ◽

Cox Proportional Hazards Models ◽

All Cause Mortality

Abstract Background: Hyperhomocysteinemia (HHcy) is considered a risk factor for cardiovascular disease (CVD) including chronic kidney disease (CKD). In this study, we investigated the association between serum homocysteine (Hcy) level and mortality according to the presence of CKD.Methods: Our study included data of 9,895 participants from the 1996–2016 National Health and Nutrition Examination Surveys (NHANES). Moreover, linked mortality data were included and classified into four groups according to the Hcy level. Multivariable-adjusted Cox proportional hazards models using propensity-score were used to examine dose-response associations between Hcy level and mortality.Results: Of 9,895 participants, 1032 (21.2%) participants were diagnosed with CKD. In a multivariate Cox regression analysis including all participants, Hcy level was associated with all-cause mortality, compared with the 1st quartile in Model 3 (2nd quartile: hazard ratio (HR) 1.751, 95% confidence interval (CI) 1.348-2.274, p<0.001; 3rd quartile: HR 2.220, 95% CI 1.726-2.855, p<0.001; 4th quartile: HR 3.776, 95% CI 2.952-4.830, p<0.001). In the non-CKD group, there was a significant association with all-cause mortality; however, this finding was not observed in the CKD group. The observed pattern was similar after propensity score matching. In the non-CKD group, overall mortality increased in proportion to Hcy concentration (2nd quartile: HR 2.195, 95% CI 1.299-3.709, p = 0.003; 3rd quartile: HR 2.607, 95% CI 1.570-4.332, p<0.001; 4th quartile: HR 3.720, 95% CI 2.254-6.139, p<0.001). However, the risk of all-cause mortality according to the quartile of Hcy level did not increase in the CKD groupConclusion: This study found a correlation between the Hcy level and mortality rate only in the non-CKD group. This altered risk factor patterns may be attributed to protein-energy wasting or chronic inflammation status that is accompanied by CKD.

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Abstract 131: Cognitive Impairment Predicts Mortality in Patients with Heart Failure

Circulation Cardiovascular Quality and Outcomes ◽

10.1161/circoutcomes.9.suppl_2.131 ◽

2016 ◽

Vol 9 (suppl_2) ◽

Author(s):

Howard Lan ◽

Lee Ann Hawkins ◽

Helme Silvet

Keyword(s):

Heart Failure ◽

Cognitive Impairment ◽

Proportional Hazards ◽

Cox Regression ◽

Cox Proportional Hazards ◽

Mortality Data ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Study Population

Introduction: In our previously published study, we evaluated a Veteran cohort of 250 outpatients with heart failure (HF) and found 58% (144 of 250) incidence of previously undiagnosed cognitive impairment (CI). Previous studies have suggested that HF patients with CI have worse clinical outcomes including higher mortality but this has not been studied in the Veteran population. Methods: Current study was designed to prospectively follow this cohort of 250 patients. Cognitive function was previously evaluated in all patients at baseline using the St. Luis University Mental Status (SLUMS) exam. The primary outcome for this follow-up study was all-cause mortality. Data analysis including Cox regression analysis and Kaplan-Meier curves were generated using SPSS. Results: The study population was predominantly Caucasian (72%, 179 of 250) and male (99%, 247 of 250) with mean age of 69 ± 10 years. Mean follow up was 31 ± 11 months. During follow up, 26% (64 of 250) of patients died. Univariate and multivariate Cox proportional hazards regression analyses were performed and shown in Table 1. Using the SLUMS score, subjects were stratified into three groups: no CI (42%, 106 of 250), mild CI (42%, 104 of 250), and severe CI (16%, 40 of 250). Kaplan-Meier survival curves were generated to compare the three CI groups in Figure 1. Conclusion: Current study demonstrates that CI is an independent risk factor for mortality in outpatient HF patients. This is an important finding because CI is commonly unrecognized in this vulnerable population. Routine CI screening could help to identify those who are at greater risk for worse outcomes. Future studies are needed to derive possible interventions to improve outcomes in these patients.

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Abstract 01: Supplemental Nutrition Assistance Program (SNAP) Participants Exhibit Higher Rates of Cardiometabolic Mortality Compared to SNAP Eligible Non-participants and SNAP Ineligible Americans

Circulation ◽

10.1161/circ.133.suppl_1.01 ◽

2016 ◽

Vol 133 (suppl_1) ◽

Author(s):

Zach Conrad ◽

Colin Rehm ◽

Dariush Mozaffarian

Keyword(s):

Health Disparities ◽

Low Income ◽

Proportional Hazards ◽

Cox Proportional Hazards ◽

Supplemental Nutrition Assistance Program ◽

Mortality Data ◽

Supplemental Nutrition ◽

Assistance Program ◽

Cox Proportional Hazards Models ◽

Nutrition Assistance

Introduction: The Supplemental Nutrition Assistance Program (SNAP) is the largest food assistance program for low-income Americans. Investigating mortality in this population is crucial to determining what further efforts are needed to reduce health disparities. The National Center for Health Statistics (NCHS) does not provide mortality data by SNAP participation status, so diet-related mortality according to SNAP eligibility and participation is not well established. Objective: To examine cardiometabolic mortality among SNAP participants, SNAP eligible non-participants, and the SNAP ineligible population. Methods: We used data from the National Health Interview Survey for 499,741 US adults age≥25y from 2000-2009 to assess SNAP eligibility and participation. These data were merged with the NCHS Linked Mortality file (2000-2009) to create a nationally representative cohort. Participants were followed until death or through Dec 31, 2011. Survey-weighted Cox-proportional hazards models were used to estimate hazard ratios of cause-specific mortality by SNAP eligibility and participation. Results: Over a mean of 6.8 y of follow-up (maximum 11.9 y), we observed 7408 CHD deaths, 2185 stroke deaths and 1376 diabetes deaths. For all outcomes, in particular diabetes, SNAP participants had highest risk, followed by SNAP eligible non-participants, and then SNAP-ineligible individuals (Figure, panel A). Considerable differences in cause-specific risk of mortality were observed between race/ethnicities among SNAP participants, SNAP eligible non-participants, and the SNAP ineligible population (Figure, panel B). Conclusion: Major health disparities exist between SNAP participants, SNAP eligible non-participants, and SNAP ineligible Americans, as well as by race/ethnicity. Ways to improve health outcomes of SNAP participants, including potential revisions to SNAP programming, are urgently needed to reduce these inequities.

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Distinctive role of income in the all-cause mortality among working age migrants and the settled population in Finland: A follow-up study from 2001 to 2014

Scandinavian Journal of Public Health ◽

10.1177/1403494817726620 ◽

2017 ◽

Vol 46 (2) ◽

pp. 214-220 ◽

Cited By ~ 1

Author(s):

Kishan Patel ◽

Anne Kouvonen ◽

Aki Koskinen ◽

Lauri Kokkinen ◽

Michael Donnelly ◽

...

Keyword(s):

Mortality Risk ◽

Low Income ◽

Income Level ◽

Cox Proportional Hazards ◽

High Income ◽

Mortality Data ◽

Majority Population ◽

All Cause Mortality ◽

Working Age ◽

Migrant Groups

Background: Although income level may play a significant part in mortality among migrants, previous research has not focused on the relationship between income, migration and mortality risk. The aim of this register study was to compare all-cause mortality by income level between different migrant groups and the majority settled population of Finland. Methods: A random sample was drawn of 1,058,391 working age people (age range 18–64 years; 50.4% men) living in Finland in 2000 and linked to mortality data from 2001 to 2014. The data were obtained from Statistics Finland. Cox proportional hazards models were used to investigate the association between region of origin and all-cause mortality in low- and high-income groups. Results: The risk for all-cause mortality was significantly lower among migrants than among the settled majority population (hazards ratio (HR) 0.57; 95% confidence interval (CI) 0.53–0.62). After adjustment for age, sex, marital status, employment status and personal income, the risk of mortality was significantly reduced for low-income migrants compared with the settled majority population with a low income level (HR 0.46; 95% CI 0.42–0.50) and for high-income migrants compared with the high-income settled majority (HR 0.81; 95% CI 0.69–0.95). Results comparing individual high-income migrant groups and the settled population were not significant. Low-income migrants from Africa, the Middle East and Asia had the lowest mortality risk of any migrant group studied (HR 0.32; 95% CI 0.27–0.39). Conclusions: Particularly low-income migrants seem to display a survival advantage compared with the corresponding income group in the settled majority population. Downward social mobility, differences in health-related lifestyles and the healthy migrant effect may explain this phenomenon.

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