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  1. 87121
    “…This analysis focused on pediatric (<18 years) patients who experienced AdV viremia ≥1,000 copies/mL within 6 months of HCT. Multivariate Cox Proportional Hazard models, controlling for factors including immune reconstitution, were used to examine the relationship between AdV viral load dynamics (Figure 1) and all-cause mortality in the 6 months after first AdV viremia ≥1,000 copies/mL. …”
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    1732. Adenovirus Load Dynamics Are Consistently Correlated With Risk of Mortality in Pediatric Allogeneic Hematopoietic Cell Transplant Recipients: Findings From the Landmark AdVance Study
  2. 87122
    “…Our primary outcome was time to first hospitalization, using Cox proportional hazards models. RESULTS: The analytic sample included 26,300 residents in 412 NHs randomized to offer aTIV and 26,474 in 410 NHs randomized to TIV. …”
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    996. A Cluster-Randomized Trial of Adjuvanted Trivalent Influenza Vaccine vs. Standard Dose in US Nursing Homes
  3. 87123
    “…Outcomes were etiology-based characteristics, annual IR per 100,000 person-years at risk (95% confidence intervals [CIs]), mortality at 0 to 7-, and 0 to 90 days (95% CIs) and hazard rates (HR) at 0 to 7, 8 to 90 days (95% CIs). Poisson and Cox regression models were used for analyses. RESULTS: Among 1,553 shock patients: 423 (27.2%) had SS, 363 (23.4%) NS, 217 (14.0%) CS, 479 (30.8%) HS, 14 (0.9%) OS, and 57 (3.7%) OC. …”
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    Etiology of Shock in the Emergency Department: A 12-Year Population-Based Cohort Study
  4. 87124
    “…MAIN OUTCOMES AND MEASURES: Ischemic stroke, heart failure hospitalization, and all-cause mortality among the AF, AFL, and matched control cohorts were analyzed using Cox proportional hazards regression. RESULTS: This study comprised 188 811 patients in the AF cohort (mean [SD] age, 73.8 [13.4] years; 104 703 [55.5%] male), 6121 patients in the AFL cohort (mean [SD] age, 67.7 [15.8] years; 3735 [61.0%] male), and 24 484 patients in the matched control cohort (mean [SD] age, 67.3 [15.6] years; 14 940 [61.0%] male). …”
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    Comparison of Clinical Outcomes Among Patients With Atrial Fibrillation or Atrial Flutter Stratified by CHA(2)DS(2)-VASc Score
  5. 87125
    “…We modelled time to zero joints in the discovery cohort using a multivariate Cox proportional hazards model considering joint pattern, degree of localization, and ILAR subtype. …”
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    Patterns of joint involvement in juvenile idiopathic arthritis and prediction of disease course: A prospective study with multilayer non-negative matrix factorization
  6. 87126
    por Postuma, Ronald B, Iranzo, Alex, Hu, Michele, Högl, Birgit, Boeve, Bradley F, Manni, Raffaele, Oertel, Wolfgang H, Arnulf, Isabelle, Ferini-Strambi, Luigi, Puligheddu, Monica, Antelmi, Elena, Cochen De Cock, Valerie, Arnaldi, Dario, Mollenhauer, Brit, Videnovic, Aleksandar, Sonka, Karel, Jung, Ki-Young, Kunz, Dieter, Dauvilliers, Yves, Provini, Federica, Lewis, Simon J, Buskova, Jitka, Pavlova, Milena, Heidbreder, Anna, Montplaisir, Jacques Y, Santamaria, Joan, Barber, Thomas R, Stefani, Ambra, St.Louis, Erik K, Terzaghi, Michele, Janzen, Annette, Leu-Semenescu, Smandra, Plazzi, Guiseppe, Nobili, Flavio, Sixel-Doering, Friederike, Dusek, Petr, Bes, Frederik, Cortelli, Pietro, Ehgoetz Martens, Kaylena, Gagnon, Jean-Francois, Gaig, Carles, Zucconi, Marco, Trenkwalder, Claudia, Gan-Or, Ziv, Lo, Christine, Rolinski, Michal, Mahlknecht, Philip, Holzknecht, Evi, Boeve, Angel R, Teigen, Luke N, Toscano, Gianpaolo, Mayer, Geert, Morbelli, Silvia, Dawson, Benjamin, Pelletier, Amelie
    Publicado 2019
    “…Predictors of phenoconversion were assessed with Cox proportional hazards analysis, adjusting for age, sex, and centre. …”
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    Risk and predictors of dementia and parkinsonism in idiopathic REM sleep behaviour disorder: a multicentre study
  7. 87127
    “…MAIN OUTCOME MEASURES: Association of estimated 24 hour urinary sodium and potassium excretion (surrogates for intake) with all cause mortality and major cardiovascular events, using multivariable Cox regression. A six category variable for joint sodium and potassium was generated: sodium excretion (low (<3 g/day), moderate (3-5 g/day), and high (>5 g/day) sodium intakes) by potassium excretion (greater/equal or less than median 2.1 g/day). …”
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    Joint association of urinary sodium and potassium excretion with cardiovascular events and mortality: prospective cohort study
  8. 87128
    “…For a total of 8 drug products, the following groups were compared using a cohort study design: (1) patients switching from brand-name products to AGs versus generics, and patients initiating treatment with AGs versus generics, where AG use proxied brand-name use, addressing negative perception bias, and (2) patients initiating generic versus brand-name products (bias-prone direct comparison) and patients initiating AG versus brand-name products (negative control). Using Cox proportional hazards regression after 1:1 propensity-score matching, we compared a composite cardiovascular endpoint (for amlodipine, amlodipine-benazepril, and quinapril), non-vertebral fracture (for alendronate and calcitonin), psychiatric hospitalization rate (for sertraline and escitalopram), and insulin initiation (for glipizide) between the groups. …”
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    Comparative effectiveness of generic and brand-name medication use: A database study of US health insurance claims
  9. 87129
    “…A risk model to predict mortality within 12 months was derived from the training set using backwards elimination Cox regression. The model was given the acronym BARC based on putative prognostic factors including body mass index and blood results (B), age (A), respiratory variables (airflow obstruction, exacerbations, smoking) (R) and comorbidities (C). …”
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    Predicting COPD 1-year mortality using prognostic predictors routinely measured in primary care
  10. 87130
    por Yang, Jae Jeong, Yu, Danxia, Wen, Wanqing, Saito, Eiko, Rahman, Shafiur, Shu, Xiao-Ou, Chen, Yu, Gupta, Prakash C., Gu, Dongfeng, Tsugane, Shoichiro, Xiang, Yong-Bing, Gao, Yu-Tang, Yuan, Jian-Min, Tamakoshi, Akiko, Irie, Fujiko, Sadakane, Atsuko, Tomata, Yasutake, Kanemura, Seiki, Tsuji, Ichiro, Matsuo, Keitaro, Nagata, Chisato, Chen, Chien-Jen, Koh, Woon-Puay, Shin, Myung-Hee, Park, Sue K., Wu, Pei-Ei, Qiao, You-Lin, Pednekar, Mangesh S., He, Jiang, Sawada, Norie, Li, Hong-Lan, Gao, Jing, Cai, Hui, Wang, Renwei, Sairenchi, Toshimi, Grant, Eric, Sugawara, Yumi, Zhang, Shu, Ito, Hidemi, Wada, Keiko, Shen, Chen-Yang, Pan, Wen-Harn, Ahn, Yoon-Ok, You, San-Lin, Fan, Jin-Hu, Yoo, Keun-Young, Ashan, Habibul, Chia, Kee Seng, Boffetta, Paolo, Inoue, Manami, Kang, Daehee, Potter, John D., Zheng, Wei
    Publicado 2019
    “…Cohort-specific hazard ratios and 95% confidence intervals for all-cause and cause-specific mortality were estimated using Cox regression models and then pooled using random-effects meta-analysis. …”
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    Association of Diabetes With All-Cause and Cause-Specific Mortality in Asia: A Pooled Analysis of More Than 1 Million Participants
  11. 87131
    “…Survival analysis showed that overall survival was significantly different for APRI greater than 1.5 vs 1.5 or lower (mean survival time, 3.6 vs 5.4 years; log-rank P < .001) and Fib4 greater than 4.0 vs 4.0 or lower (mean survival time, 4.1 vs 5.3 years; log rank P = .01). Adjusted Cox proportional hazards regression analysis revealed that elevated APRI was significantly associated with worse survival (hazard ratio [HR], 1.13; 95% CI, 1.03-1.23) but Fib4 values were not (HR, 1.04; 95% CI, 0.99-1.09). …”
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    Association Between Noninvasive Fibrosis Markers and Postoperative Mortality After Hepatectomy for Hepatocellular Carcinoma
  12. 87132
    “…The high pain cluster of the average pain trajectory significantly predicted prolonged pain (hazard ratio [HR], 0.63; 95% CI, 0.50-0.80; P < .001) and delayed opioid cessation (HR, 0.52; 95% CI, 0.41-0.67; P < .001) but was not a predictor of time to recovery in Cox proportional hazards regression (HR, 0.89; 95% CI, 0.69-1.14; P = .89). …”
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    Factors Associated With Acute Pain Estimation, Postoperative Pain Resolution, Opioid Cessation, and Recovery: Secondary Analysis of a Randomized Clinical Trial
  13. 87133
    “…It followed them for about 10 years (until Jan 1, 2017), monitoring cardiovascular disease (including ischaemic stroke, intracerebral haemorrhage, and myocardial infarction) by linkage with morbidity and mortality registries and electronic hospital records. 161 498 participants were genotyped for two variants that alter alcohol metabolism, ALDH2-rs671 and ADH1B-rs1229984. Adjusted Cox regression was used to obtain the relative risks associating disease incidence with self-reported drinking patterns (conventional epidemiology) or with genotype-predicted mean male alcohol intake (genetic epidemiology—ie, Mendelian randomisation), with stratification by study area to control for variation between areas in disease rates and in genotype-predicted intake. …”
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    Conventional and genetic evidence on alcohol and vascular disease aetiology: a prospective study of 500 000 men and women in China
  14. 87134
    “…The factors associated with eGFR decline or CKD were identified by mixed linear regression and Cox regression, respectively. RESULTS: Three thousand, one hundred and thirty-eight patients (72% women) were followed for a median (IQR) of 4.5(2.2–6.9) years. …”
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    Chronic kidney disease and HIV in the era of antiretroviral treatment: findings from a 10-year cohort study in a west African setting
  15. 87135
    “…We described characteristics of nonstarters (those who provided less than four complete responses to the first seven EMA surveys) and analyzed structural correlates of days to first weeklong or more EMA survey noncompletion using multivariable Cox proportional hazards regression. Qualitative interviews were used to evaluate the acceptability of EMA surveys. …”
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    Social Inequity and Structural Barriers to Completion of Ecological Momentary Assessments for Young Men Who Have Sex With Men and Trans Women Living With HIV in San Francisco
  16. 87136
    “…The study used Kaplan-Meier survival tables and Cox proportional hazards regression analysis to estimate the onset of hypertension and diabetes among patients with no indication of disease at baseline. …”
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    Association of Social and Behavioral Risk Factors With Earlier Onset of Adult Hypertension and Diabetes
  17. 87137
    “…We used inverse probability weights to incorporate sampling outcomes into Aalen–Johansen and Cox proportional hazards regression to estimate retention and viremia. …”
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    Retention and viral suppression in a cohort of HIV patients on antiretroviral therapy in Zambia: Regionally representative estimates using a multistage-sampling-based approach
  18. 87138
    “…The risk of eGFR decline ≥ 10 mL/min/1.73 m(2) was compared between cohorts using Kaplan-Meier analysis and adjusted Cox proportional hazards models. Adjusting parameters included demographic (age, sex, race, region, and index year) and clinical (eGFR, heart failure, hypertension, diabetes, and medication use) characteristics at baseline. …”
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    MON-524 Risk of Decline in Estimated Glomerular Filtration Rate (eGFR) in Patients with Chronic Hypoparathyroidism (HypoPT)
  19. 87139
    “…For statistical analysis, Mann–Whitney U test, Fisher exact test, logistic regression, Kaplan–Meier and Cox regression analyses were used. RESULTS: In AML cohort of 239 patients, high IL2RA mRNA expression independently predicted shorter relapse free survival (RFS, p < 0.001) and overall survival (OS, p < 0.001) irrespective of age, cytogenetics, FLT3-ITD or c-KIT D816V mutational status. …”
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    High IL2RA mRNA expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemia
  20. 87140
    “…During median (interquartile range [IQR]) follow-up of 8.2 (7.7–8.8) years, 379 (6%) subjects died. In multivariable Cox regression analyses, lower levels of TSAT (hazard ratio [HR] per 1 standard deviation [SD], 0.84; 95% confidence interval [CI], 0.75–0.95; P = 0.004) and higher levels of sTfR (HR, 1.15; 95% CI 1.03–1.28; P = 0.01), EPO (HR, 1.17; 95% CI 1.05–1.29; P = 0.004), and FGF23 (HR, 1.20; 95% CI 1.10–1.32; P < 0.001) were each significantly associated with an increased risk of death, independent of potential confounders. …”
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    Iron deficiency, elevated erythropoietin, fibroblast growth factor 23, and mortality in the general population of the Netherlands: A cohort study
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