A promising predictor of mortality— A cohort study (Preprint)

Hazards Model ◽

Clinical Biomarker ◽

Secondary Result

UNSTRUCTURED Severe inflammation leads to poor prognosis for intensive care unit hospitalized patients. The is a biomarker used to monitor inflammation and immune response, which can predict poor prognosis of various diseases. However, it is unclear whether NLR is associated with all-cause mortality in ICU patients. This study investigated the correlation between MLR and ICU results. Extract clinical data from Medical Information Mart for Intensive Care III (MIMIC-III) database, which contains health data of more than 50,000 patients. The main result was 30-day mortality, and the secondary result was 90-day mortality. Use the Cox proportional hazards model to reveal the association between MLR and results. Multivariable analyses were used to control for confounders. NLR is a promising clinical biomarker, which can be used as a available predictor of ICU mortality.

The Real-World status and risk factors for a poor prognosis in elderly patients with primary central nervous system malignant lymphomas: a multicenter retrospective cohort study of the Tohoku Brain Tumor Study Group

10.21203/rs.3.rs-291646/v1 ◽

2021 ◽

Author(s):

Kenichiro Asano ◽

Yoji Yamashita ◽

Takahiro Ono ◽

Manabu Natsumeda ◽

Takaaki Beppu ◽

...

Keyword(s):

Risk Factors ◽

Central Nervous System ◽

Nervous System ◽

Poor Prognosis ◽

Proportional Hazards ◽

Hazards Model ◽

Pre Treatment

Abstract Introduction The number of elderly patients with primary central nervous system malignant lymphoma(EL-PCNSL) has been increasing. However, due to their poor pre-treatment Karnofsky Performance Status(KPS) and many comorbidities, it is possible that sufficient treatment has not been performed. We therefore conducted a retrospective cohort study to evaluate risk factors associated with a poor prognosis of the Real-World status of EL-PCNSL in the Tohoku Brain Tumor Study Group. Methods Patients aged ≥ 71 years with PCNSL were enrolled from 8 centers. Univariate analysis was performed by the log-rank test. A Cox proportional hazards model was used for multivariate analysis. Results Three of total 142 cases received best supportive care(BSC) from the beginning. Treatment was given to 30 cases without a pathological diagnosis, 3 cases with a cerebrospinal fluid diagnosis, and 100 cases with CD20-positive DLBCL diagnosis. Total 133 cases(median age 76 years) were included. The median pre-treatment KPS was 50%. There were 117(88.0%) patients with 213 pre-treatment comorbidities(1.8 comorbidities per patient). PFS and OS were 16 months and 24 months, respectively. Risk factors associated with poor prognosis on Cox proportional hazards model were pre-treatment cardiovascular disease and central nervous system disease comorbidities, post-treatment pneumonia and other infections, and the absence of radiation or chemotherapy. Conclusions EL-PCNSL was actively treated and BSC was only a few. Pre-treatment comorbidities and post-treatment complications would influence the prognosis. Radiation and chemotherapy were found to be effective, but no conclusions could be drawn regarding the content of chemotherapy and whether additional radiation therapy should be used.

Survival analysis of elderly patients in Intensive Care Units

Revista Brasileira de Geriatria e Gerontologia ◽

10.1590/1981-22562017020.160131 ◽

2017 ◽

Vol 20 (2) ◽

pp. 197-205 ◽

Cited By ~ 2

Author(s):

Diego Bonfada ◽

Marquiony Marques dos Santos ◽

Kenio Costa Lima ◽

Anna Garcia-Altés

Keyword(s):

Intensive Care ◽

Elderly Patients ◽

Proportional Hazards ◽

Icu Patients ◽

Hazards Model ◽

Health Care Network ◽

The City

Abstract Objective: Conduct a survival analysis of elderly patients hospitalized in an intensive care unit (ICU), identifying the predictors of mortality among this age group. Methods: A retrospective cohort study was performed with data from the medical records of 457 elderly patients hospitalized in an ICU located in the city of Natal in Brazil. Survival functions were estimated using the Kaplan-Meier estimator, and the Log-rank test was used for comparisons. In addition, a multiple Cox proportional hazards model was constructed to identify the independent effects of the predictors of survival. Results: It was found that the survival of elderly ICU patients declined due to factors such as increased hospitalization time, advancing years, unmarried (including common-law-marriage) status, the presence of shock, pneumonia, septicaemia, fractures, a reduced state of consciousness, hospitalization for clinical reasons, being bedridden prior to hospitalization, fever, bradycardia, hypotension, cardiac arrest and the need for mechanical ventilation. The multiple Cox proportional hazards model revealed that variables such as shock, longevity, bradycardia, fractures, fever, hospitalization in the public healthcare system and admission for clinical reasons remained significant as predictors of reduced survival in intensive care units. Conclusions: The survival rates of elderly persons in an ICU in the city of Natal in Brazil were affected by demographic and clinical predictors, and those related to the type of hospitalization and the health care network. This shows that any initiative aimed at increasing the survival of elderly ICU patients must look at individual and social issues and factors related to the health care network.

Up-Regulation of Long Non-Coding RNA ZEB2-AS1 in Tissue is Correlated with Tumor Progression and Poor Prognosis in Non-Small Cell Lung Cancer

Journal of Biomaterials and Tissue Engineering ◽

10.1166/jbt.2020.2374 ◽

2020 ◽

Vol 10 (8) ◽

pp. 1149-1153

Author(s):

Jinchen Du ◽

Dong Chao ◽

Gawei Hu ◽

Yulian Ban ◽

Bin Zhang ◽

...

Keyword(s):

Tumor Progression ◽

Poor Prognosis ◽

Proportional Hazards ◽

Expression Level ◽

Normal Lung ◽

Hazards Model ◽

Nsclc Patients

Objective: ZEB2-AS1 has been suggested as an oncogene in some types of cancers, and it was also found to be up-regulated in NSCLC tissues compared with corresponding normal lung tissues. However, study on the clinical significance and prognostic value of ZEB2-AS1 in NSCLC is lacking. Patients and Methods: 129 NSCLC patients who underwent surgery between January 2013 to March 2018 were included in the present study. The Chi-square test was used to investigate the significance of tissue ZEB2-AS1 expression level as correlated with clinicopathologic features. The survival curves of the NSCLC patients were plotted and analyzed by Kaplan-Meier method and the survival rates were compared by the log-rank test. The Cox proportional hazards model was used for univariate and multivariate regression analyses. Results : ZEB2-AS1 level was significantly up-regulated in NSCLC tissues compared with matched adjacent lung tissues (P < 0 001). ZEB2-AS1 expression level was significantly correlated with tumor differentiation (P = 0 004), lymph node metastasis (P = 0 003), and TNM stage (P < 0 001). Both univariate and multivariate Cox proportional hazards model analysis showed that ZEB2-AS1 expression was independently associated with overall survival of patients with NSCLC (univariate analysis: HR = 2.117, 95% CI: 1.092–11.885, P = 0 019, multivariate analysis: HR = 1.925, 95% CI: 1.472–10.663, P = 0 036). Conclusions: Our study demonstrates that ZEB2-AS1 is up-regulated in NSCLC tissues and its up-regulation is correlated with tumor progression and poor prognosis in NSCLC.

Association between albumin infusion and outcomes in patients with acute kidney injury and septic shock

Scientific Reports ◽

10.1038/s41598-021-03122-0 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Chenglong Ge ◽

Qianyi Peng ◽

Wei Chen ◽

Wenchao Li ◽

Lina Zhang ◽

...

Keyword(s):

Septic Shock ◽

Acute Kidney Injury ◽

Medical Information ◽

Proportional Hazards ◽

Kidney Injury ◽

Albumin Infusion ◽

Hazards Model

AbstractSeptic shock with acute kidney injury (AKI) is common in critically ill patients. Our aim was to evaluate the association between albumin infusion and outcomes in patients with septic shock and AKI. Medical Information Mart for Intensive Care (MIMIC)-III was used to identify patients with septic shock and AKI. Propensity score matching (PSM) was employed to balance the baseline differences. Cox proportional hazards model, Wilcoxon rank-sum test, and logistic regression were utilized to determine the associations of albumin infusion with mortality, length of stay, and recovery of kidney function, respectively. A total of 2861 septic shock patients with AKI were studied, including 891 with albumin infusion, and 1970 without albumin infusion. After PSM, 749 pairs of patients were matched. Albumin infusion was associated with improved 28-day survival (HR 0.72; 95% CI 0.59–0.86; P = 0.002), but it was not difference in 90-day mortality between groups (HR 0.94; 95% CI 0.79–1.12; P = 0.474). Albumin infusion was not associated with the renal function recovery (HR 0.91; 95% CI 0.73–1.13; P = 0.393) in either population. Nevertheless, subgroup analysis showed that albumin infusion was distinctly associated with reduced 28-day mortality in patients with age > 60 years. The results need to be validated in more randomized controlled trials.

Association Between Base Excess and Mortality Among Patients in ICU With Acute Kidney Injury

Frontiers in Medicine ◽

10.3389/fmed.2021.779627 ◽

2021 ◽

Vol 8 ◽

Author(s):

Yi Cheng ◽

You Zhang ◽

Boxiang Tu ◽

Yingyi Qin ◽

Xin Cheng ◽

...

Keyword(s):

Acute Kidney Injury ◽

Intensive Care ◽

Medical Information ◽

Proportional Hazards ◽

Base Excess ◽

Kidney Injury ◽

Icu Patients

Objective: This study aimed to explore the association between base excess (BE) and the risk of 30-day mortality among patients with acute kidney injury (AKI) in the intensive care unit (ICU).Methods: This retrospective study included patients with AKI from the Medical Information Mart for Intensive Care (MIMIC)-IV database. We used a multivariate Cox proportional-hazards model to obtain the hazard ratio (HR) for the risk of 30-day mortality among patients with AKI. Furthermore, we utilized a Cox proportional-hazard model with restricted cubic splines (RCS) to explore the potential non-linear associations.Results: Among the 14,238 ICU patients with AKI, BE showed a U-shaped relationship with risk of 30-day mortality for patients with AKI, and higher or lower BE values could increase the risk. Compared with normal base excess (−3~3 mEq/L), patients in different groups (BE ≤ −9 mEq/L, −9 mEq/L < BE ≤ −3 mEq/L, 3 mEq/L < BE ≤ 9 mEq/L, and BE > 9 mEq/L) had different HRs for mortality: 1.57 (1.40, 1.76), 1.26 (1.14, 1.39), 0.97 (0.83, 1.12), 1.53 (1.17, 2.02), respectively. The RCS analyses also showed a U-shaped curve between BE and the 30-day mortality risk.Conclusion: Our results suggest that higher and lower BE in patients with AKI would increase the risk of 30-day mortality. BE measured at administration could be a critical prognostic indicator for ICU patients with AKI and provide guidance for clinicians.

Characteristics and Survival of Intensive Care Unit Patients with Coronavirus Disease in Osaka, Japan: A Retrospective Observational Study

Journal of Clinical Medicine ◽

10.3390/jcm10112477 ◽

2021 ◽

Vol 10 (11) ◽

pp. 2477

Author(s):

Ling Zha ◽

Tomotaka Sobue ◽

Taro Takeuchi ◽

Kenta Tanaka ◽

Yusuke Katayama ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Proportional Hazards ◽

Multivariable Model ◽

Icu Patients ◽

Hazards Model ◽

Osaka Prefecture

The epidemiological and clinical characteristics, treatments, and outcomes of patients with coronavirus disease 2019 (COVID-19) who are admitted to the intensive care unit (ICU) have not been adequately evaluated in Japan. We analyzed the registry data of 205 patients with COVID-19 admitted to the ICU between February and November 2020, in Osaka Prefecture, Japan. A Cox proportional hazards model was used to assess the association between epidemiological factors and mortality among ICU patients. Of the 205 ICU patients, 161 (78.5%) were men and 149 (72.7%) were older than 60 years. A total of 117 patients (57.1%) had comorbidities. The most common symptoms at diagnosis were mild (n = 131, 63.9%). A total of 187 patients (91.2%) received mechanical ventilation, and 32 patients (15.6%) required extracorporeal membrane oxygenation. Patients were followed up for a median of 25 days after ICU admission. A total of 147 patients (71.7%) were alive at discharge, and 58 patients (28.3%) died. The hazard ratio for mortality among patients aged >80 years was 6.02 (95% confidence interval: 2.10−17.25) in the multivariable model, which was higher than that among those aged ≤59 years. These results are useful for recognizing the clinical course of this infection in ICU patients.

Risk factors associated with major adverse cardiac and cerebrovascular events following percutaneous coronary intervention: a 10-year follow-up comparing random survival forest and Cox proportional-hazards model

BMC Cardiovascular Disorders ◽

10.1186/s12872-020-01834-1 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Maryam Farhadian ◽

Sahar Dehdar Karsidani ◽

Azadeh Mozayanimonfared ◽

Hossein Mahjub

Keyword(s):

Proportional Hazards ◽

Coronary Intervention ◽

Hazards Model ◽

Cerebrovascular Events ◽

Long Term Follow Up ◽

Stent Length

Abstract Background Due to the limited number of studies with long term follow-up of patients undergoing Percutaneous Coronary Intervention (PCI), we investigated the occurrence of Major Adverse Cardiac and Cerebrovascular Events (MACCE) during 10 years of follow-up after coronary angioplasty using Random Survival Forest (RSF) and Cox proportional hazards models. Methods The current retrospective cohort study was performed on 220 patients (69 women and 151 men) undergoing coronary angioplasty from March 2009 to March 2012 in Farchshian Medical Center in Hamadan city, Iran. Survival time (month) as the response variable was considered from the date of angioplasty to the main endpoint or the end of the follow-up period (September 2019). To identify the factors influencing the occurrence of MACCE, the performance of Cox and RSF models were investigated in terms of C index, Integrated Brier Score (IBS) and prediction error criteria. Results Ninety-six patients (43.7%) experienced MACCE by the end of the follow-up period, and the median survival time was estimated to be 98 months. Survival decreased from 99% during the first year to 39% at 10 years' follow-up. By applying the Cox model, the predictors were identified as follows: age (HR = 1.03, 95% CI 1.01–1.05), diabetes (HR = 2.17, 95% CI 1.29–3.66), smoking (HR = 2.41, 95% CI 1.46–3.98), and stent length (HR = 1.74, 95% CI 1.11–2.75). The predictive performance was slightly better by the RSF model (IBS of 0.124 vs. 0.135, C index of 0.648 vs. 0.626 and out-of-bag error rate of 0.352 vs. 0.374 for RSF). In addition to age, diabetes, smoking, and stent length, RSF also included coronary artery disease (acute or chronic) and hyperlipidemia as the most important variables. Conclusion Machine-learning prediction models such as RSF showed better performance than the Cox proportional hazards model for the prediction of MACCE during long-term follow-up after PCI.

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 ◽

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.

Dementia Adjudication Triggers Associated With Increased Mortality for Older Australians: Evidence From ASPREE

Innovation in Aging ◽

10.1093/geroni/igaa057.523 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 161-161

Author(s):

Jane Banaszak-Holl ◽

Xiaoping Lin ◽

Jing Xie ◽

Stephanie Ward ◽

Henry Brodaty ◽

...

Keyword(s):

Proportional Hazards ◽

The Elderly ◽

Service Planning ◽

Cognitive Test ◽

Risk Of Death ◽

Hazards Model ◽

Using Data

Abstract Research Aims: This study seeks to understand whether those with dementia experience higher risk of death, using data from the ASPREE (ASPirin in Reducing Events in the Elderly) clinical trial study. Methods: ASPREE was a primary intervention trial of low-dose aspirin among healthy older people. The Australian cohort included 16,703 dementia-free participants aged 70 years and over at enrolment. Participants were triggered for dementia adjudication if cognitive test results were poorer than expected, self-reporting dementia diagnosis or memory problems, or dementia medications were detected. Incidental dementia was adjudicated by an international adjudication committee using the Diagnostic and Statistical Manual for Mental Disorders (DSM-IV) criteria and results of a neuropsychological battery and functional measures with medical record substantiation. Statistical analyses used a cox proportional hazards model. Results: As previously reported, 1052 participants (5.5%) died during a median of 4.7 years of follow-up and 964 participants had a dementia trigger, of whom, 575 (60%) were adjucated as having dementia. Preliminary analyses has shown that the mortality rate was higher among participants with a dementia trigger, regardless of dementia adjudication outcome, than those without (15% vs 5%, Χ2 = 205, p <.001). Conclusion: This study will provide important analyses of differences in the hazard ratio for mortality and causes of death among people with and without cognitive impairment and has important implications on service planning.

Evaluation of Changes on World Stock Exchanges in Connection with the SARS-CoV-2 Pandemic. Survival Analysis Methods

Risks ◽

10.3390/risks9070121 ◽

2021 ◽

Vol 9 (7) ◽

pp. 121

Author(s):

Beata Bieszk-Stolorz ◽

Krzysztof Dmytrów

Keyword(s):

Survival Analysis ◽

Proportional Hazards ◽

Stock Exchange ◽

Stock Exchanges ◽

Analysis Methods ◽

Hazards Model ◽

Kaplan Meier

The aim of our research was to compare the intensity of decline and then increase in the value of basic stock indices during the SARS-CoV-2 coronavirus pandemic in 2020. The survival analysis methods used to assess the risk of decline and chance of rise of the indices were: Kaplan–Meier estimator, logit model, and the Cox proportional hazards model. We observed the highest intensity of decline in the European stock exchanges, followed by the American and Asian plus Australian ones (after the fourth and eighth week since the peak). The highest risk of decline was in America, then in Europe, followed by Asia and Australia. The lowest risk was in Africa. The intensity of increase was the highest in the fourth and eleventh week since the minimal value had been reached. The highest odds of increase were in the American stock exchanges, followed by the European and Asian (including Australia and Oceania), and the lowest in the African ones. The odds and intensity of increase in the stock exchange indices varied from continent to continent. The increase was faster than the initial decline.