Influence of fluid balance on the prognosis of patients with sepsis

Abstract Background Early and timely fluid treatment or resuscitation are the basic measures for the active treatment of sepsis. Our aim is to further explore the relationship between fluid balance and prognosis in patients with sepsis on a daily basis for 5 days. Methods Sepsis patients in eICU Collaborative Research Database were divided into the negative balance group (NB/−) and the positive balance group (PB/+) according to daily fluid balance. The primary outcome was in-hospital mortality. Survival differences between the groups were analyzed by using Cox regression. Then dose-response relationship between fluid balance and in-hospital mortality was studied using restricted cubic splines (RCSs). Furthermore, patients with fluid balance data for the previous three consecutive days were selected and divided into eight groups (“+/+/+”, “+/+/−”, “+/ −/−”, “+/ −/+”, “−/ −/−”, “−/ −/+”, “−/+/+”, and “−/+/−”). Kaplan–Meier curves and Cox regression were used to show the survival difference between groups. Results Our study, which included 19,557 patients in a multicenter database, showed that positive fluid balances on days 1, 2, and 3 after sepsis diagnosis were associated with poor prognosis with the HRs of 1.29 (1.20,1.40), 1.13 (1.01,1.27), and 1.25 (1.08,1.44), respectively, while the fluid balance on days 4 and 5 had no effect on the primary outcome. Then RCSs showed an overall trend that the risk of in-hospital mortality on days 1, 2, and 3 increased with increasing fluid balance. For three consecutive days of fluid balance, we studied 9205 patients and Kaplan–Meier curves revealed survival differences among patients in the eight groups. The cox model demonstrated that compared with the “+/+/+” group, the “+/ −/−”, “−/ −/−”, “−/ −/+”, “−/+/+”, and “−/+/−” groups had a lower risk of in-hospital mortality, with HRs of 0.65 (0.45,0.93), 0.72 (0.60,0.86), 0.63 (0.43,0.93), 0.69 (0.48,0.98), and 0.63 (0.42,0.96), respectively. Conclusions In patients with sepsis, positive fluid balance on days 1, 2, and 3 was associated with adverse outcomes. For patients with fluid balance for three consecutive days, the “+/−/−”, “−/ −/−”, “−/−/+”, “−/+/+”, and “−/+/−” groups were less likely to die in hospital than the “+/+/+” group.

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Urea-to-Albumin Ratio and In-Hospital Mortality in Severe Pneumonia Patients

Canadian Journal of Infectious Diseases and Medical Microbiology ◽

10.1155/2021/5105870 ◽

2021 ◽

Vol 2021 ◽

pp. 1-7

Author(s):

Yu Tian ◽

Yihao Li ◽

Zixin Jiang ◽

Jieru Chen

Keyword(s):

Hospital Mortality ◽

Primary Outcome ◽

Cox Model ◽

Survival Rates ◽

Severe Pneumonia ◽

Mortality Rates ◽

Apache Ii Score ◽

Albumin Ratio ◽

Kaplan Meier ◽

Subgroup Analyses

Objective. The urea-to-albumin ratio (UAR), as a new marker of the systemic inflammatory response, is associated with the mortality in pneumonia patients. However, the association between the UAR and in-hospital mortality in severe pneumonia (SP) has received little attention. Methods. In this single-center retrospective cohort study, 212 SP patients in intensive care unit (ICU) from June 1, 2016, to June 1st, 2020, with baseline UAR were enrolled. The primary outcome was in-hospital mortality. The association of UAR with in-hospital mortality was assessed using a multivariable-adjusted Cox model. Results. Of 212 patients, the median age was 73.0 (61.0, 82.8) years, 70.8% of patients were male, and the APACHE II score was 20.0 (16.0, 26.0). During the hospital period, 101 (47.6%) patients died. In-hospital mortality rates for the lower and higher UAR were 16 (27.6%) and 85 (55.2%), respectively P < 0.001 . Kaplan–Meier analysis revealed that survival rates were significantly different between the two groups (log rank = 13.71, P < 0.001 ). After adjusted for confounding factors, the higher UAR group was significantly associated with a hazard ratio (HR) for in-hospital mortality of 2.234 (95% confidence interval: 1.146–4.356, P = 0.018 ). Besides, this pattern persisted in subgroup analyses considering sex (HR = 9.380; 95% CI: 2.248–39.138; P = 0.002 ). Conclusions. Higher UAR levels at the commencement of admission to ICU may be independently associated with increased in-hospital mortality in SP patients.

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High Mean Platelet Volume Associates with In-Hospital Mortality in Severe Pneumonia Patients

Mediators of Inflammation ◽

10.1155/2020/8720535 ◽

2020 ◽

Vol 2020 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Jieru Chen ◽

Yihao Li ◽

Yingsi Zeng ◽

Yu Tian ◽

Yueqiang Wen ◽

...

Keyword(s):

Hospital Mortality ◽

Mean Platelet Volume ◽

Cox Regression ◽

Cox Model ◽

Predictive Ability ◽

Severe Pneumonia ◽

Platelet Volume ◽

Kaplan Meier ◽

Increased Risk ◽

The Relationship

Background. Although mean platelet volume (MPV) appears to be associated with poor outcome of pneumonia, the relationship between MPV and in-hospital mortality is unclear in severe pneumonia (SP) patients. Methods. In this retrospective cohort study, 115 SP patients from June 1st, 2016, to September 29th, 2019, were included and divided into two groups. The primary outcome was in-hospital mortality. The receiver operating characteristic (ROC) curve was performed to assess the predictive ability for in-hospital mortality. Kaplan-Meier cumulative incidence curves were applied to observe the incidence of mortality. Multivariable Cox regression analyses were used to evaluate the hazard ratios (HRs). Besides, a formal test for interaction was investigated to analyze the relationship between MPV and sex. Results. During the course of hospitalization, 63 cases of mortality were recorded. ROC analysis suggested that MPV had a modest power for predicting in-hospital mortality (AUC=0.723, 95% CI: 0.628-0.818, P<0.001). Yet the cutoff value of MPV was 10.5 (sensitivity=73.02%; specificity=73.08%). Compared to the low-MPV group, the high-MPV group had significantly increased in-hospital mortality (log-rank test=13.501, P<0.001), while the adjusted Cox model indicated that the high-MPV group was associated with an elevated risk of in-hospital mortality (HR: 2.267, 95% CI: 1.166-4.406, P=0.016). Moreover, analyses of in-hospital mortality suggested a significant interaction between optimal MPV level and sex (P=0.011). In a multivariate Cox model which included females only, a high MPV level was associated with increased risk of in-hospital mortality (HR: 11.387, 95% CI: 1.767-73.380, P=0.011). Conclusion. High MPV level is an independent risk factor for in-hospital mortality in patients with SP.

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Down-regulation of miR-219-5p increase the risk of cancer-related mortality in patients with prostate cancer

Postgraduate Medical Journal ◽

10.1136/postgradmedj-2021-139981 ◽

2021 ◽

pp. postgradmedj-2021-139981

Author(s):

Shimin Tang ◽

Hao Jiang ◽

Zhijun Cao ◽

Qiang Zhou

Keyword(s):

Prostate Cancer ◽

Prediction Model ◽

Cancer Patients ◽

Cox Regression ◽

Cox Model ◽

Risk Of Death ◽

Kaplan Meier ◽

Risk Of Progression ◽

Patient Prognosis ◽

Risk Of Cancer

IntroductionProstate cancer is a common malignancy in men that is difficult to treat and carries a high risk of death. miR-219-5p is expressed in reduced amounts in many malignancies. However, the prognostic value of miR-219-5p for patients with prostate cancer remains unclear.MethodsWe retrospectively analysed data from 213 prostate cancer patients from 10 June 2012 to 9 May 2015. Overall survival was assessed by Kaplan-Meier analysis and Cox regression models. Besides, a prediction model was constructed, and calibration curves evaluated the model’s accuracy.ResultsOf the 213 patients, a total of 72 (33.8%) died and the median survival time was 60.0 months. We found by multifactorial analysis that miR-219-5p deficiency increased the risk of death by nearly fourfold (HR: 3.86, 95% CI): 2.01 to 7.44, p<0.001) and the risk of progression by twofold (HR: 2.79, 95% CI: 1.68 to 4.64, p<0.001). To quantify each covariate’s weight on prognosis, we screened variables by cox model to construct a predictive model. The Nomogram showed excellent accuracy in estimating death’s risk, with a corrected C-index of 0.778.ConclusionsmiR-219-5p can be used as a biomarker to predict death risk in prostate cancer patients. The mortality risk prediction model constructed based on miR-219-5p has good consistency and validity in assessing patient prognosis.

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Predictors of three-month mortality among hospitalized older adults in Togo

10.21203/rs.3.rs-38973/v2 ◽

2020 ◽

Author(s):

Fifonsi Adjidossi GBEASOR-KOMLANVI ◽

Martin Kouame TCHANKONI ◽

Akila Wimima BAKOUBAYI ◽

Matthieu Yaovi LOKOSSOU ◽

Arnold SADIO ◽

...

Keyword(s):

Older Adults ◽

Hospital Mortality ◽

Cox Regression ◽

Sub Saharan Africa ◽

Mortality Data ◽

Kaplan Meier ◽

All Cause Mortality ◽

Hospitalized Older Adults ◽

Sub Saharan

Abstract Background: Assessing hospital mortality and its predictors is important as some of these can be prevented through appropriate interventions. Few studies have reported hospital mortality data among older adults in sub-Saharan Africa. The objective of this study was to assess the mortality and associated factors among hospitalized older adults in Togo.Methods: We conducted a prospective cohort study from February 2018 to September 2019 among patients ≥50 years admitted in medical and surgical services of six hospitals in Togo. Data were recorded during hospitalization and through telephone follow-up survey within 90 days after admission. The main outcome was all-cause mortality at 3 months. Survival curves were estimated using the Kaplan-Meier method and Cox regression analyses were performed to assess predictors of mortality.Results: The median age of the 650 older adults included in the study period was 61 years, IQR: [55-70] and at least one comorbidity was identified in 59.7% of them. The all-cause mortality rate of 17.2% (95%CI: 14.4-20.4) and the majority of death (93.7%) occurred in hospital. Overall survival rate was 85.5% and 82.8% after 30 and 90 days of follow-up, respectively. Factors associated with 3-month mortality were the hospital level in the health pyramid, hospitalization service, length of stay, functional impairment, depression and malignant diseases.Conclusion: Togolese health system needs to adjust its response to an aging population in order to provide the most effective care.

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Pediatric Patients with Adrenal Neuroblastoma: A SEER Analysis, 2004–2013

The American Surgeon ◽

10.1177/000313482008600232 ◽

2020 ◽

Vol 86 (2) ◽

pp. 127-133

Author(s):

Shengxiang Chen ◽

Wenfeng Tang ◽

Randong Yang ◽

Xiaoxiao Hu ◽

Zhongrong Li

Keyword(s):

Overall Survival ◽

Pediatric Patients ◽

Cox Regression ◽

Demographic Data ◽

Survival Rates ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Survival Difference ◽

Tumor Management ◽

End Results

Adrenal neuroblastoma (NB) is a relatively common malignancy in children. The Surveillance, Epidemiology, and End Results database was used to present demographic data and a survival analysis with the aim of making tumor management better. The Surveillance, Epidemiology, and End Results database was used to search pediatric patients (age £16 years) with NB from 2004 to 2013. The Kaplan-Meier method was used to calculate the overall survival. And, we used Cox regression analysis to determine hazard ratios for prognostic variables. Independent prognostic factors were selected into the nomogram to predict individual's three-, five-, and seven-year overall survival. The study included a total of 1870 pediatric patients with NB in our cohort. Overall, three-, five-, and seven-year survival rates for adrenal NB were 0.777, 0.701, and 0.665, respectively, whereas the rates for nonadrenal NB were 0.891, 0.859, and 0.832, respectively. The multivariate analysis identified age >1 year, no complete resection (CR)/CR, radiation, and regional/distant metastasis as independent predictors of mortality for adrenal NB. Concordance index of the nomogram was 0.665 (95% confidence interval, 0.627–0.703). Pediatric patients with adrenal NB have significantly worse survival than those with nonadrenal NB. Adrenal NB with age <1 year, treated with surgery, no radiation, and localized tumor leads to a better survival. There was no survival difference for patients to receive CR and no CR.

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The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients

Molecules ◽

10.3390/molecules25235725 ◽

2020 ◽

Vol 25 (23) ◽

pp. 5725 ◽

Cited By ~ 2

Author(s):

Alessandro G. Fois ◽

Panagiotis Paliogiannis ◽

Valentina Scano ◽

Stefania Cau ◽

Sergio Babudieri ◽

...

Keyword(s):

Hospital Mortality ◽

Systemic Inflammation ◽

Cox Regression ◽

Rapid Onset ◽

Cox Regression Analysis ◽

Lymphocyte Ratio ◽

Kaplan Meier ◽

Group Methods ◽

Aggregate Index ◽

Inflammatory State

Background. The rapid onset of a systemic pro-inflammatory state followed by acute respiratory distress syndrome is the leading cause of mortality in patients with COVID-19. We performed a retrospective observational study to explore the capacity of different complete blood cell count (CBC)-derived inflammation indexes to predict in-hospital mortality in this group. Methods. The neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), platelet to lymphocyte ratio (PLR), mean platelet volume to platelet ratio (MPR), neutrophil to lymphocyte × platelet ratio (NLPR), monocyte to lymphocyte ratio (MLR), systemic inflammation response index (SIRI), systemic inflammation index (SII), and the aggregate index of systemic inflammation (AISI) were calculated on hospital admission in 119 patients with laboratory confirmed COVID-19. Results. Non-survivors had significantly higher AISI, dNLR, NLPR, NLR, SII, and SIRI values when compared to survivors. Similarly, Kaplan–Meier survival curves showed significantly lower survival in patients with higher AISI, dNLR, MLR, NLPR, NLR, SII, and SIRI. However, after adjusting for confounders, only the SII remained significantly associated with survival (HR = 1.0001; 95% CI, 1.0000–1.0001, p = 0.029) in multivariate Cox regression analysis. Conclusions. The SII on admission independently predicts in-hospital mortality in COVID-19 patients and may assist with early risk stratification in this group.

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Surgery and Actinomycin Improve Survival in Malignant Rhabdoid Tumor

Sarcoma ◽

10.1155/2013/315170 ◽

2013 ◽

Vol 2013 ◽

pp. 1-8 ◽

Cited By ~ 13

Author(s):

Ryan Horazdovsky ◽

J. Carlos Manivel ◽

Edward Y. Cheng

Keyword(s):

Prognostic Factors ◽

Cox Regression ◽

Meta Analysis ◽

Surgical Excision ◽

Rhabdoid Tumor ◽

Older Age ◽

Malignant Rhabdoid Tumor ◽

Kaplan Meier ◽

Improvement In Survival ◽

Survival Differences

Purpose. Malignant rhabdoid tumor (MRT) is an uncommon tumor that rarely occurs outside of renal and central nervous system (CNS) sites. Data from the literature were compiled to determine prognostic factors, including both demographic and treatment variables of malignant rhabdoid tumor, focusing on those tumors arising in extra-renal, extra-CNS (ER/EC MRT) sites. Patients and Methods. A systematic review and meta-analysis was performed by extracting demographic, treatment, and survival follow up on 167 cases of primary ER/EC MRT identified in the literature.Results. No survival differences were observed between those treated with or without radiation, or with or without chemotherapy. A Cox regression of overall survival revealed several independent prognostic factors. Surgical excision had a 74% (P= 0.0003) improvement in survival. Actinomycin had a 73% (P= 0.093) improvement in survival. Older age was associated with improved survival. The four-year survival, by Kaplan-Meier estimates, comparing patients less than two years old versus older than two at diagnosis was 11% versus 35%, respectively (P= 0.0001, Log-Rank).Conclusion. ER/EC MRT is a rare, soft-tissue tumor with a poor prognosis most commonly occurring in children. Surgical resection, treatment with actinomycin, and older age at diagnosis are all associated with improved survival.

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Early Experience With Neutralizing Monoclonal Antibody Therapy For COVID-19

10.1101/2021.04.09.21255219 ◽

2021 ◽

Author(s):

Mark Jarrett ◽

Warren B. Licht ◽

Kevin Bock ◽

Zenobia Brown ◽

Jamie S. Hirsch ◽

...

Keyword(s):

Monoclonal Antibody ◽

High Risk ◽

Hospital Mortality ◽

Primary Outcome ◽

Cox Model ◽

Adult Patients ◽

Infusion Therapy ◽

Probability Weighting ◽

Inverse Probability ◽

Neutralizing Monoclonal Antibody

ABSTRACTImportanceNeutralizing monoclonal antibody (MAB) therapies may benefit patients with mild to moderate COVID-19 at high risk for progressing to severe COVID-19 and/or hospitalization. Studies documenting approaches to deliver MAB infusions as well as demonstrating their efficacy are lacking.ObjectiveWe describe our experience and patient outcomes of almost 3,000 patients who received MAB infusion therapy at Northwell Health, a large integrated health care system in New York.Design, Setting, and ParticipantsThis is a descriptive study of adult patients who received MAB therapy between November 20, 2020, to January 31, 2021, and a retrospective cohort survival analysis comparing patients who received MAB therapy prior to admission versus those who did not. A multivariable Cox model with inverse probability weighting according to the propensity score including covariates (sociodemographic, comorbidities, and presenting vital signs) was used.Main outcomes and measuresThe primary outcome was in-hospital mortality; additional evaluations included ED utilization and hospitalization within 28 days of a positive COVID-19 test for patients who received MAB therapy.ResultsDuring the study period, 2818 adult patients received MAB infusion. Following therapy and within 28 days of COVID-19 test, 123 patients (4.4%) presented to the ED and were released and 145 patients (5.1%) were hospitalized. These 145 patients were compared with 200 controls who were eligible for but did not receive MAB therapy, and were hospitalized. In the MAB group, 16 (11%) patients met the primary outcome of in-hospital mortality, versus 21 (10.5%) in the control group. In an unadjusted Cox model, the hazard ratio (HR) for time to in-hospital mortality for the MAB group was 1.38 (95% confidence interval [95% CI] 0.696-2.719). Models adjusting for demographics (HR 1.1, 95% CI 0.53-2.23), demographics and Charlson Comorbidity Index (CCI) (HR 1.22, 95% CI 0.573-2.59), and with inverse probability weighting according to propensity scores (HR 1.19, 95% CI 0.619-2.29) did not demonstrate significance. The hospitalization rate was 4.4% for patients who received MAB therapy within 0-4 days, 5% within 5-7 days, and 6.1% within ≥8 days of symptom onset (p-value = 0.15).Conclusions and relevanceEstablishing the capability to provide neutralizing MAB infusion therapy requires significant planning and coordination. While this therapy may be an important treatment option for early mild to moderate COVID-19 in high-risk patients, further investigations are needed to define the optimal timing of MAB treatment in order to reduce hospitalization and mortality.

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The Neutrophil-to-lymphocyte Ratio at the Time of Admission: A New Prognostic Indicator for Hospital Mortality of Trauma Patients

Iranian Journal of Allergy Asthma and Immunology ◽

10.18502/ijaai.v20i1.5411 ◽

2021 ◽

Author(s):

Hamed Fouladseresht ◽

Shahram Bolandparvaz ◽

Hamid Reza Abbasi ◽

Hossein Abdolrahimzadeh Fard ◽

Shahram Paydar

Keyword(s):

Survival Analysis ◽

Hospital Mortality ◽

Regression Models ◽

Cox Regression ◽

Prognostic Indicator ◽

Neutrophil To Lymphocyte Ratio ◽

Trauma Patients ◽

Lymphocyte Ratio ◽

Kaplan Meier ◽

Time Of Admission

The elevated neutrophil-to-lymphocyte ratio (NLR) is associated with poor clinical outcomes, especially in pro-inflammatory states such as surgical injuries and severe hemorrhages. Therefore, it was hypothesized whether NLR value at the time of admission could be a prognostic indicator of hospital mortality in trauma patients. This retrospective cohort study was conducted on 865 trauma patients referred to Rajaee Hospital between April 2016 and July 2019. The NLR value was calculated at the time of admission, and receiver operating characteristics (ROC) curve analysis was used to determine the cut-off point value of admission NLR related to hospital mortality of trauma patients. Furthermore, Kaplan-Meier survival analysis and Cox regression models have been applied to determine the effectiveness and prognostic potential of the admission NLR in the hospital mortality of trauma patients. The median age of the trauma patients was 32 years with an interquartile range (IQR) of 23 to 48 years, and most of them were male (83.9%). Also, trauma patients had a median injury severity score (ISS) of 9 (IQR=4-16) and a median Glasgow coma scale (GCS) of 14 (IQR=9-15). The cut-off value for admission NLR was 5.27 (area under the curve: 0.642, 95%CI: 0.559-0.726, p=0.001). In Kaplan-Meier survival analysis, the admission NLR>5.27 was an indicator of hospital mortality in trauma patients (p=0.001). Multivariate Cox regression models demonstrated that trauma patients with an admission NLR>5.27 had a 2.33-fold risk of hospital mortality (hazard ratio=2.33, 95%CI: 1.02-5.38, p=0.041). Furthermore, the admission NLR>5.27 was associated with a higher risk of hospital mortality in trauma patients with age≥65 years, systolic blood pressure≤90 mmHg, blood potassium>4.5 mmol/L, blood sodium>144 mEq/L, blood potential hydrogen (pH)≤7.28, GCS≤8, ISS>24 and blood base excess≤-6.1 mEq/L. The NLR value greater than 5.27 at the time of admission was associated with poorer outcomes, and it can be considered an independent prognostic indicator of hospital mortality in trauma patients.

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Malnutrition Affects Cholesterol Paradox in Coronary Artery Disease: a 41,229 Chinese Cohort Study

10.21203/rs.3.rs-266119/v1 ◽

2021 ◽

Author(s):

Bo Wang ◽

Jin Liu ◽

Shiqun Chen ◽

Ming Ying ◽

Guanzhong Chen ◽

...

Keyword(s):

Cox Regression ◽

Cox Model ◽

Cox Regression Analysis ◽

Coronary Syndrome ◽

Kaplan Meier ◽

All Cause Mortality ◽

Chinese Cohort ◽

Artery Disease

Abstract Background: Several studies found that baseline low LDL-C concentration was associated with poor prognosis in patients with acute coronary syndrome (ACS), which was called “cholesterol paradox”. Low LDL-C concentration may reflect underlying malnutrition, which was strongly associated with increased mortality. We objected to investigate the cholesterol paradox in patients with CAD and the effects of malnutrition.Method: A total of 41,229 CAD patients admitted to Guangdong Provincial People's Hospital in China were included in this study from January 2007 to December 2018, and divided into two groups (LDL-C < 1.8 mmol/L, n=4,863; LDL-C ≥ 1.8 mmol/L, n = 36,366). We used Kaplan-Meier method and Cox regression analyses to assess the association between LDL-C levels and long-term all-cause mortality and the effect of malnutrition. Result: In this real-world cohort (mean age 62.94 years; 74.94% male), there were 5257 incidents of all-cause death during a median follow-up of 5.20 years [Inter-quartile range (IQR): 3.05-7.78 years]. Kaplan–Meier analysis showed that low LDL-C levels were associated with worse prognosis. After adjusting for baseline confounders (e.g., age, sex and comorbidities, etc.), multivariate Cox regression analysis revealed that low LDL-C level (<1.8mmol/L) was not significantly associated with all-cause mortality (adjusted HR, 1.04; 95% CI, 0.96-1.24). After adjustment of nutritional status, risk of all-cause mortality of patients with low LDL-C level decreased (adjusted HR, 0.90; 95% CI, 0.83-0.98). In the final multivariate Cox model, low LDL-C level was related to better prognosis (adjusted HR, 0.91; 95% CI, 0.84-0.99).Conclusion: Our results demonstrate that the cholesterol paradox persisted in CAD patients, but disappeared after accounting for the effects of malnutrition.

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