Hypochloremia is associated with increased risk of all-cause mortality in patients in the coronary care unit: A cohort study

Objective Serum chloride disorders have been gaining increased attention. We aimed to assess the impact of serum chloride on all-cause mortality in critically ill patients in coronary care units (CCUs). Methods We extracted clinical data from the Multiparameter Intelligent Monitoring in Intensive Care III database. We used data for the first CCU admission of each patient; baseline data were extracted within 24 hours after CCU admission. Statistical methods included the Lowess smoothing technique, Cox proportional hazards model, and subgroup analyses. Results A total 5616 patients who met the inclusion criteria were included. We observed a U-shaped relationship between admission chloride levels and 30-day all-cause mortality. In multivariate analysis adjusted for age, ethnicity, and sex, both hyper- and hypochloremia were significant predictors of risk of 30-day, 90-day, and 365-day all-cause mortality. After adjusting additional clinical characteristics, hypochloremia remained a significant predictor of risk of 30-day all-cause mortality (hazard ratio, 1.47; 95% confidence interval, 1.19–1.83). For 90-day and 365-day all-cause mortality, similar significant robust associations were found. Conclusions We observed a U-shaped relationship between admission chloride levels and 30-day all-cause mortality among patients in the CCU. Hypochloremia was associated with increased risk of all-cause mortality in these patients.

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Underweight rather than adiposity is an important predictor of death in rural Chinese adults: a cohort study

Journal of Epidemiology & Community Health ◽

10.1136/jech-2020-214821 ◽

2021 ◽

pp. jech-2020-214821

Author(s):

Yun Chen ◽

Na Wang ◽

Xiaolian Dong ◽

Xuecai Wang ◽

Jianfu Zhu ◽

...

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

Normal Weight ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Important Predictor ◽

Hazards Model ◽

Increased Risk ◽

All Cause Mortality ◽

A Prospective Study

BackgroundTo assess the associations of body mass index (BMI) with all-cause and cause-specific mortalities among rural Chinese.MethodsA prospective study of 28 895 individuals was conducted from 2006 to 2014 in rural Deqing, China. Height and weight were measured. The association of BMI with mortality was assessed by using Cox proportional hazards model and restricted cubic spline regression.ResultsThere were a total of 2062 deaths during an average follow-up of 7 years. As compared with those with BMI of 22.0–24.9 kg/m2, an increased risk of all-cause mortality was found for both underweight men (BMI <18.5 kg/m2) (adjusted HR (aHR): 1.45, 95% CI: 1.18 to 1.79) and low normal weight men (BMI of 18.5–21.9 kg/m2) (aHR: 1.20, 95% CI: 1.03 to 1.38). A J-shaped association was observed between BMI and all-cause mortality in men. Underweight also had an increased risk of cardiovascular disease and cancer mortalities in men. The association of underweight with all-cause mortality was more pronounced in ever smokers and older men (60+ years). The results remained after excluding participants who were followed up less than 1 year.ConclusionThe present study suggests that underweight is an important predictor of mortality, especially for elderly men in the rural community of China.

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Anticoagulants and Antiplatelets in COVID-19: Impact on Survival and Thromboembolism Development

10.1101/2021.07.03.21254541 ◽

2021 ◽

Author(s):

Thomas Salmon ◽

Mitchell Titley ◽

Zaid Noori ◽

Mark Crosby ◽

Rajiv Sankaranarayanan

Keyword(s):

Significant Relationship ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Increased Risk ◽

Confounding Variables ◽

Impact On Survival ◽

The Impact

Background Higher rates of venous and arterial thromboembolism have been noted in coronavirus disease-2019 (COVID-19). There has been limited research on the impact of anticoagulant and antiplatelet choice in COVID-19. Methods This was a single-centre retrospective cohort study of 933 patients with COVID-19 infection presenting between 01/02/2020 and 31/05/2020. Survival time at 90 days post-diagnosis and thromboembolism development were the measured outcomes. Results Of 933 total patients, mean age was 68 years and 54.4% were male. 297 (31.8%) did not survive at 90 days. A Cox proportional hazards model analysis found no statistically significant relationship between anticoagulant or antiplatelet choice and survival (p<0.05). 57 (6.3%) developed thromboembolism. Antiplatelet choice was not shown to have a statistically significant relationship with thromboembolism development. Warfarin and direct oral anticoagulant (DOAC) use did not have a statistically significant impact on thromboembolism development (p<0.05). Therapeutic low-molecular-weight heparin (LMWH) use was associated with increased thromboembolism risk (Odds ratio = 14.327, 95% CI 1.904 - 107.811, p = 0.010). Conclusions Antiplatelet choice was shown to have no impact on survival or thromboembolism development in COVID-19. Anticoagulant choice did not impact survival or thromboembolism development, aside from LMWH. Therapeutic LMWH use was associated with increased risk of thromboembolism. However, it should be noted that the sample size for patients using therapeutic LMWH was small (n=4), and there may be confounding variables affecting both LMWH use and thromboembolism development. These findings should be repeated with a larger sample of patients using therapeutic LMWH with additional adjustment for cofounding variables.

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Elevated plasma growth and differentiation factor 15 predicts incident anemia in older adults aged 60 years and older

The Journals of Gerontology Series A ◽

10.1093/gerona/glaa324 ◽

2020 ◽

Author(s):

Yuko Yamaguchi ◽

Marta Zampino ◽

Toshiko Tanaka ◽

Stefania Bandinelli ◽

Yusuke Osawa ◽

...

Keyword(s):

Older Adults ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Differentiation Factor ◽

Hazards Model ◽

Increased Risk ◽

The Relationship

Abstract Background Anemia is common in older adults and associated with greater morbidity and mortality. The causes of anemia in older adults have not been completely characterized. Although elevated circulating growth and differentiation factor 15 (GDF-15) has been associated with anemia in older adults, it is not known whether elevated GDF-15 predicts the development of anemia. Methods We examined the relationship between plasma GDF-15 concentrations at baseline in 708 non-anemic adults, aged 60 years and older, with incident anemia during 15 years of follow-up among participants in the Invecchiare in Chianti (InCHIANTI) Study. Results During follow-up, 179 (25.3%) participants developed anemia. The proportion of participants who developed anemia from the lowest to highest quartile of plasma GDF-15 was 12.9%, 20.1%, 21.2%, and 45.8%, respectively. Adults in the highest quartile of plasma GDF-15 had an increased risk of developing anemia (Hazards Ratio 1.15, 95% Confidence Interval 1.09, 1.21, P<.0001) compared to those in the lower three quartiles in a multivariable Cox proportional hazards model adjusting for age, sex, serum iron, soluble transferrin receptor, ferritin, vitamin B12, congestive heart failure, diabetes mellitus, and cancer. Conclusions Circulating GDF-15 is an independent predictor for the development of anemia in older adults.

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Associations of Endometriosis and Hormone Therapy With Risk of Hyperlipidemia

American Journal of Epidemiology ◽

10.1093/aje/kwaa173 ◽

2020 ◽

Author(s):

Cherry Yin-Yi Chang ◽

Chih-Hsin Muo ◽

Yi-Chun Yeh ◽

Chung-Yen Lu ◽

William Wu-Chou Lin ◽

...

Keyword(s):

Hormone Therapy ◽

Structural Model ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Marginal Structural Model ◽

Bilateral Oophorectomy ◽

Hazards Model ◽

Increased Risk

Abstract Using claims data from the universal health insurance program of Taiwan, we conducted a retrospective cohort study to investigate whether endometriosis and hormone therapy are associated with the risk of developing hyperlipidemia. We selected 9,155 women aged 20–55 years with endometriosis diagnosed during the period 2000–2013 and 212,641 women without endometriosis with a median follow-up time of 7 years. Among patients with endometriosis, 86% of cases were identified on the basis of diagnosis codes with an ultrasound claim, and 14% were defined by diagnostic laparoscopy or surgical treatments. In a Cox proportional hazards model, the adjusted hazard ratio was 1.30 (95% confidence interval (CI): 1.19, 1.41) for all women, 1.04 (95% CI: 0.81, 1.32) for women under 35 years of age, 1.17 (95% CI: 1.03, 1.32) for women aged 35–44 years, and 1.34 (95% CI: 1.18, 1.52) for women aged 45–54 years. Hysterectomy and/or bilateral oophorectomy accounted for 46.9% of the association between endometriosis and hyperlipidemia, and hormone therapy accounted for 21.6%. Among women with endometriosis, the marginal structural model approach adjusting for time-varying hysterectomy/bilateral oophorectomy showed no association between use of hormone medications and risk of hyperlipidemia. We concluded that women with endometriosis are at increased risk of hyperlipidemia; use of hormone therapy by these women was not independently associated with the development of hyperlipidemia.

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Between National Polarization and Local Ideology: The Impact of Partisan Competition on State Medicaid Expansion Decisions

Publius The Journal of Federalism ◽

10.1093/publius/pjz028 ◽

2019 ◽

Vol 50 (2) ◽

pp. 237-255 ◽

Cited By ~ 1

Author(s):

Joshua Meyer-Gutbrod

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

Electoral Competition ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Party Competition ◽

Medicaid Expansion ◽

Hazards Model ◽

Partisan Competition ◽

The Impact

Abstract The U.S. Supreme Court’s decision to grant states the authority to reject Medicaid expansion under the Affordable Care Act without penalty threatened the implementation of this polarized health policy. While many Republican-controlled states followed their national allies and rejected Medicaid expansion, others engaged in bipartisan implementation. Why were some Republican states willing to reject the national partisan agenda and cooperate with Democrats in Washington? I focus on the role of electoral competition within states. I conclude that although electoral competition has been shown to encourage partisan polarization within the states, the combination of intergovernmental implementation and Medicaid expansion’s association with public welfare reverses this dynamic. I employ a Cox proportional-hazards model to examine the impact of state partisan ideology and competition on the likelihood of state Medicaid expansion. I find that strong inter-party competition mitigates the impact of more extreme partisan ideologies, encouraging potentially bipartisan negotiation with the federal administration.

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Arthritis Increases the Risk for Fractures — Results from the Women’s Health Initiative

The Journal of Rheumatology ◽

10.3899/jrheum.101196 ◽

2011 ◽

Vol 38 (8) ◽

pp. 1680-1688 ◽

Cited By ~ 58

Author(s):

NICOLE C. WRIGHT ◽

BRIAN T. WALITT ◽

CHARLES B. EATON ◽

ZHAO CHEN ◽

Keyword(s):

Hip Fracture ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Spinal Fractures ◽

Fracture Prevention ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Increased Risk ◽

Clinical Fractures

Objective.To examine the relationship between arthritis and fracture.Methods.Women were classified into 3 self-reported groups at baseline: no arthritis (n = 83,295), osteoarthritis (OA; n = 63,402), and rheumatoid arthritis (RA; n = 960). Incident fractures were self-reported throughout followup. Age-adjusted fracture rates by arthritis category were generated, and the Cox proportional hazards model was used to test the association between arthritis and fracture.Results.After an average of 7.80 years, 24,137 total fractures were reported including 2559 self-reported clinical spinal fractures and 1698 adjudicated hip fractures. For each fracture type, age-adjusted fracture rates were highest in the RA group and lowest in the nonarthritic group. After adjustment for several covariates, report of arthritis was associated with increased risk for spine, hip, and any clinical fractures. Compared to the nonarthritis group, the risk of sustaining any clinical fracture in the OA group was HR 1.09 (95% CI 1.05, 1.13; p < 0.001) and HR 1.49 (95% CI 1.26, 1.75; p < 0.001) in the RA group. The risk of sustaining a hip fracture was not statistically increased in the OA group (HR 1.11; 95% CI 0.98, 1.25; p = 0.122) compared to the nonarthritis group; however, the risk of hip fracture increased significantly (HR 3.03; 95% CI 2.03, 4.51; p < 0.001) in the RA group compared to the nonarthritis group.Conclusion.The increase in fracture risk confirms the importance of fracture prevention in patients with RA and OA.

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Impact of the Changes in the Frequency of Social Participation on All-Cause Mortality in Japanese Older Adults: A Nationwide Longitudinal Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph19010270 ◽

2021 ◽

Vol 19 (1) ◽

pp. 270

Author(s):

Keiichi Shimatani ◽

Mayuko T. Komada ◽

Jun Sato

Keyword(s):

Older Adults ◽

Social Participation ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Risk Of Mortality ◽

All Cause Mortality ◽

Japanese Older Adults ◽

The Impact

Previous studies have shown that more frequent social participation was associated with a reduced risk of mortality. However, limited studies have explored the changes in the frequency of social participation in older adults. We investigated the impact of the changes in the frequency of social participation on all-cause mortality in Japanese older adults aged 60 years and older. The current study, conducted as a secondary analysis, was a retrospective cohort study using open available data. The participants were 2240 older adults (45.4% male and 54.6% female) sampled nationwide from Japan who responded to the interview survey. Changes in the frequency of social participation were categorized into four groups (none, initiated, decreased, and continued pattern) based on the responses in the baseline and last surveys. The Cox proportional-hazards model showed a decreased risk of all-cause mortality in decreased and continued patterns of social participation. Stratified analysis by sex showed a decreased risk of mortality in the continued pattern only among males. The results of the current study suggest that the initiation of social participation at an earlier phase of life transition, such as retirement, may be beneficial for individuals.

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Impact of Prior Cancer History on Outcomes in Thymoma

10.21203/rs.3.rs-41041/v2 ◽

2020 ◽

Author(s):

Shilong Wu ◽

Mengyang Liu ◽

Weixue Cui ◽

Guilin Peng ◽

Jianxing He

Keyword(s):

Overall Survival ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Cancer History ◽

Treatment Methods ◽

Hazards Model ◽

Kaplan Meier ◽

The Impact

Abstract Background Thymoma is an uncommon intrathoracic malignant tumor and has a long natural history. It is uncertain whether the survival of thymoma patient is affected by prior cancer history. Finding out the impact of a prior cancer history on thymoma survival has important implications for both decision making and research. Method The Surveillance, Epidemiology, and End Results (SEER) database was queried for thymoma patients diagnosed between 1975 and 2015. Kaplan-Meier methods and Cox proportional hazards model were used to analyze overall survival across a variety of stages, age, and treatment methods with a prior cancer history or not. Results A total of 3604 patients with thymoma were identified including 507 (14.1%) with a prior cancer history. The 10-year survival rate of patients with a prior cancer history (53.8%) was worse than those without a prior cancer history (40.32%, 95%CI 35.24-45.33, P < 0.0001). However, adjusted analyses showed that the impact of a prior cancer history was heterogenous across age and treatment methods. In subset analyses, prior cancer history was associated with worse survival among patients who were treated with chemoradiotherapy (HR: 2.80, 95% CI: 1.51-5.20, P = 0.001) and age ≤ 65 years (HR: 1.33, 95%CI: 1.02-1.73, P = 0.036). Conclusions Prior cancer history provides an inferior overall survival for patients with thymoma. But it does not worsen the survival in some subgroups and these thymoma patients should not be excluded from clinical trials.

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Survival of Captive Chimpanzees: Impact of Location and Transfers

10.1101/068858 ◽

2016 ◽

Author(s):

Michael S. Lauer

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

Premature Mortality ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Increased Risk ◽

Random Survival Forests ◽

Survival Forests

AbstractTo inform the retirement of NIH-owned chimpanzees, we analyzed the outcomes of 764 NIH-owned chimpanzees that were located at various points in time in at least one of 4 specific locations. All chimpanzees considered were alive and at least 10 years of age on January 1, 2005; transfers to a federal sanctuary began a few months later. During a median follow-up of just over 7 years, there were 314 deaths. In a Cox proportional hazards model that accounted for age, sex, and location (which was treated as a time-dependent covariate), age and sex were strong predictors of mortality, but location was only marginally predictive. Among 273 chimpanzees who were transferred to the federal sanctuary, we found no material increased risk in mortality in the first 30 days after arrival. During a median follow-up at the sanctuary of 3.5 years, age was strongly predictive of mortality, but other variables – sex, season of arrival, and ambient temperature on the day of arrival – were not predictive. We confirmed our regression findings using random survival forests. In summary, in a large cohort of captive chimpanzees, we find no evidence of materially important associations of location of residence or recent transfer with premature mortality.

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Glucocorticoid receptor (GR) expression in circulating tumor cells (CTCs) to prognosticate overall survival (OS) for metastatic castration-resistant prostate cancer (mCRPC) patients (pts) treated with androgen receptor signaling inhibitors (ARSi).

Journal of Clinical Oncology ◽

10.1200/jco.2017.35.6_suppl.194 ◽

2017 ◽

Vol 35 (6_suppl) ◽

pp. 194-194 ◽

Cited By ~ 1

Author(s):

David Wise ◽

James Kelvin ◽

Ryon Graf ◽

Nicole A. Schreiber ◽

Brigit McLaughlin ◽

...

Keyword(s):

Protein Expression ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Predictive Biomarker ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Castration Resistant Prostate Cancer ◽

Hazards Model ◽

Kaplan Meier ◽

The Impact

194 Background: Upregulation of GR protein expression in metastatic biopsies from pts with CRPC has previously been shown to correlate with resistance to enzalutamide and has been validated as a therapeutic target in pre-clinical studies. We sought to determine whether upregulated GR protein expression in CTCs from pts with progressing mCRPC predicted clinical outcomes following treatment with enzalutamide (E) or abiraterone (A). Methods: Pre-therapy blood samples from 54 pts with progressing mCRPC were subjected to CTC analysis using the Epic Sciences platform. Samples were examined to identify CK+ (CK+, CD45- cells, with intact nuclei, morph distinct) CTCs for GR protein expression. GR+ CTCs were defined as having expression greater than the 95th percentile of GR expression in the GR negative LNCAP cell line. Kaplan-Meier analysis was used to test the impact of GR+ CTCs on OS following treatment with A or E. A Cox proportional hazards model with CTC number and GR positivity was used in a multivariate analysis. Results: 37 out of 54 pts (69%) had detectable and viable CK+ CTCs. 28 out of 37 pts (76%) had CTCs with upregulated GR staining with a median of 6 GR+/CK+ cells/ml per patient (range 0.7 – 244 cells/ml). The OS of patients with GR+ CTCs treated with ARSi was significantly worse than that of patients without detectable GR+ CTCs (11.4 mo. vs NA, p < 0.01), an effect independent and additive to the presence of viable CTCs, a previously described prognostic biomarker (see Table). Conclusions: GR protein upregulation in CTCs can be detected in a significant percentage of pts with progressing mCRPC and the presence of GR+ CTCs predicts worse OS in response to ARSi. The data supports previously reported pre-clinical data proposing a pathogenic role for GR in mediating resistance to ARSi therapy. Detection of GR in patient CTCs may be a useful predictive biomarker to guide GR-directed therapies. [Table: see text]

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