scholarly journals Examination of a Short-Term, Prognostic Predictive Method for Terminal Cancer Patients Using the Barthel Index

Reports ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 26
Author(s):  
Masahiro Okada ◽  
Kazuko Okazaki ◽  
Fumiyoshi Murakami ◽  
Shinya Okamoto ◽  
Hiroki Sugihara ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Barthel Index ◽  
Characteristic Curve ◽  
Prognostic Score ◽  
Prognostic Index ◽  
Glasgow Prognostic Score ◽  
Terminal Cancer ◽  
Short Term ◽  
Blood Tests ◽  
Terminal Cancer Patients

For the estimation of short-term prognosis in terminal cancer patients, it is important to establish a prognostic index that does not involve blood tests. We compared the prognostic ability of the Barthel Index (BI) with the Glasgow Prognostic Score (GPS). Ninety-seven inpatients with terminal cancer at Onomichi Municipal Hospital who died between 2018 and 2019 were retrospectively analyzed. The sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUROC) were compared between the BI and GPS. For predicting the 15 day prognosis, the BI showed higher specificity, accuracy, and AUROC than the GPS. For predicting the 30 day prognosis, the BI showed higher sensitivity, accuracy, and AUROC than the GPS. The BI can predict the 15 or 30 day prognosis in terminal cancer patients. As the BI does not require blood tests, it may be an option for prognostic prediction in terminal cancer patients.

Validation of the Objective Prognostic Score for Terminal Cancer Patients in a Tertiary Hospital

2016 ◽  
Vol 17 (2) ◽  
pp. 59-67 ◽  
Author(s):  
Hee Jin Park ◽  
Youn Seon Choi ◽  
Seon Mee Kim ◽  
Jung Eun Kim ◽  
Eun Hye Kim ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Prognostic Score ◽  
Tertiary Hospital ◽  
Terminal Cancer ◽  
Terminal Cancer Patients

P4551Prognostic utility of Palliative Prognostic Index for prediction of 30-day and 1-year outcome in patients with acute decompensated heart failure

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Sumi ◽  
N Umemoto ◽  
H Kajiura ◽  
S Inoue ◽  
Y Iio ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cancer Patients ◽  
Reference Model ◽  
Acute Decompensated Heart Failure ◽  
Prognostic Index ◽  
Decompensated Heart Failure ◽  
Left Ventricular Ejection ◽  
Terminal Cancer ◽  
Terminal Cancer Patients ◽  
Palliative Prognostic Index

Abstract Background The prognosis of heart failure remains poor similar to the terminal cancer patients, although recent progress in medical treatment. Palliative Prognostic Index (PPI) is a widely used prognostic index for terminal cancer patients (PPI includes: Palliative Performance Scale, oral intake, oedema, dyspnea at rest and delirium), suggesting the short-term prognostic marker of terminal cancer patients. Purpose The purpose of this study was to evaluate the impact of PPI on 30-day mortality, 1-year mortality and 1-year events (including all-cause mortality, readmission due to heart failure and new onset of cerebral infarction after hospital discharge) among acute decompensated heart failure (ADHF) patients. Method Study subjects comprised of consecutive 764 patients who admitted due to ADHF and followed up for 1-year. PPI were calculated at the time of hospital admission. Study subjects were divided into two groups based on the PPI: L-PPI (PPI<6) and H-PPI (6≤PPI). We calculated the C-index, net reclassification improvement (NRI) and the integrated discrimination improvement (IDI) to evaluate the improvement of prediction ability on 30-day mortality. Result H-PPI showed significantly higher 30-day mortality than L-PPI [7.9% vs 2.0%, log rank p<0.001, Hazard retio (HR): 1.26, 95% confidential interval(CI): 1.14–1.37, p<0.001], 1-year mortality [20.0% vs 12.7%, log rank p=0.022, HR 1.15, 95% CI 1.09–1.21, p<0.001]and 1-year events [45.5% vs 31.1%, log rank p<0.001, HR 1.13, 95% CI 1.09–1.17, p<0.001]. Multivariate cox proportional hazard models adjusted with several covariates revealed that PPI was an independent predictor of 30-day mortality (HR: 1.23, 95% CI: 1.10–1.36, p<0.001), 1-year mortality (HR: 1.10, 95% CI: 1.04–1.16, p<0.001) and 1-year events (HR: 1.11, 95% CI: 1.07–1.15, p<0.001), respectively. A reference model for prediction of 30-day mortality was determined including left ventricular ejection fraction and serum albumin concentration by multivariable logistic regression analysis. (P<0.05) (C-index: 0.720) Adding PPI to the reference model (C-index: 0.773) significantly improved both NRI (0.458, p=0.038) and IDI (0.046, p=0.007), respectively. Conclusion We suggest that assessment of PPI showed good prognostic ability for 30-day and 1-year outcome, while PPI provided additional prognostic information in patients with ADHF.

The Relationship between Components of the Barthel Index and Mortality of Terminal Cancer Patients

2019 ◽  
Vol 45 (11) ◽  
pp. 605-609
Author(s):  
Masahiro Okada ◽  
Kazuko Okazaki ◽  
Fumiyoshi Murakami ◽  
Shinya Okamoto ◽  
Hiroki Sugihara ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Barthel Index ◽  
Terminal Cancer ◽  
Terminal Cancer Patients ◽  
The Relationship

scholarly journals Presepsin and platelet to lymphocyte ratio predict the progression of septic subclinical acute kidney injury to septic acute kidney injury and the prognosis of subclinical septic acute kidney injury patients: a pilot study

2021 ◽  
Author(s):  
Yuichiro Shimoyama ◽  
Osamu Umegaki ◽  
Noriko Kadono ◽  
Toshiaki Minami
Keyword(s):  
Acute Kidney Injury ◽  
Characteristic Curve ◽  
Prognostic Score ◽  
Prognostic Index ◽  
Glasgow Prognostic Score ◽  
Kidney Injury ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Icu Admission ◽  
Septic Acute Kidney Injury

Abstract This study aimed to determine whether presepsin can predict the progression of septic subclinical acute kidney injury (AKI) to septic AKI among intensive care unit (ICU) patients. Presepsin values were measured immediately after ICU admission (baseline) and on Days 2, 3, and 5 after ICU admission. Glasgow Prognostic Score, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio (PLR), Prognostic Index, and Prognostic Nutritional Index were measured at baseline. Presepsin values and these indices were compared between septic AKI and septic subclinical AKI patients. There were 38 septic AKI patients and 21 septic subclinical AKI patients. Receiver operating characteristic curve analyses revealed the following cut-off values for AKI (relative to subclinical AKI): 708.0 (pg/ml) for presepsin on Day 1 (AUC, 0.69; sensitivity, 82%; specificity, 52%), 1283.0 (pg/ml) for presepsin on Day 2 (AUC, 0.69; sensitivity, 55%; specificity, 80%), and 368.66 for PLR (AUC, 0.67; sensitivity, 71%; specificity, 62%). Multivariate logistic regression analyses revealed PLR to be a predictor of septic subclinical AKI (odds ratio, 1.0023; 95% confidence interval, 1.0000-1.0046; p=0.046). Presepsin and PLR predicted the progression of septic subclinical AKI to septic AKI and the prognosis of subclinical septic AKI patients.

scholarly journals Role of Inflammatory and Immune-Nutritional Prognostic Markers in Patients Undergoing Surgical Resection for Biliary Tract Cancers

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3594
Author(s):  
Simone Conci ◽  
Tommaso Campagnaro ◽  
Elisa Danese ◽  
Ezio Lombardo ◽  
Giulia Isa ◽  
...  
Keyword(s):  
Biliary Tract ◽  
Cox Regression ◽  
Prognostic Score ◽  
Prognostic Index ◽  
Glasgow Prognostic Score ◽  
Postoperative Mortality ◽  
Prognostic Nutritional Index ◽  
Term Survival ◽  
Lymphocyte Ratio

The relationship between immune-nutritional status and tumor growth; biological aggressiveness and survival, is still debated. Therefore, this study aimed to evaluate the prognostic performance of different inflammatory and immune-nutritional markers in patients who underwent surgery for biliary tract cancer (BTC). The prognostic role of the following inflammatory and immune-nutritional markers were investigated: Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), Prognostic Index (PI), Neutrophil to Lymphocyte ratio (NLR), Platelet to Lymphocyte ratio (PLR), Lymphocyte to Monocyte ratio (LMR), Prognostic Nutritional Index (PNI). A total of 282 patients undergoing surgery for BTC were included. According to Cox regression and ROC curves analysis for survival, LMR had the best prognostic performances, with hazard ratio (HR) of 1.656 (p = 0.005) and AUC of 0.652. Multivariable survival analysis identified the following independent prognostic factors: type of BTC (p = 0.002), T stage (p = 0.014), N stage (p < 0.001), histological grading (p = 0.045), and LMR (p = 0.025). Conversely, PNI was related to higher risk of severe morbidity (p < 0.001) and postoperative mortality (p = 0.005). In conclusion, LMR appears an independent prognostic factor of long-term survival, whilst PNI seems associated with worse short-term outcomes.

scholarly journals Systemic pro-inflammatory response identifies patients with cancer with adverse outcomes from SARS-CoV-2 infection: the OnCovid Inflammatory Score

2021 ◽  
Vol 9 (3) ◽  
pp. e002277 ◽  
Author(s):  
Gino M Dettorre ◽  
Saoirse Dolly ◽  
Angela Loizidou ◽  
John Chester ◽  
Amanda Jackson ◽  
...  
Keyword(s):  
Inflammatory Response ◽  
Cancer Progression ◽  
Systemic Inflammation ◽  
Prognostic Score ◽  
Prognostic Index ◽  
Glasgow Prognostic Score ◽  
Prognostic Nutritional Index ◽  
Adverse Outcomes ◽  
Patients With Cancer ◽  
Inflammatory Score

BackgroundPatients with cancer are particularly susceptible to SARS-CoV-2 infection. The systemic inflammatory response is a pathogenic mechanism shared by cancer progression and COVID-19. We investigated systemic inflammation as a driver of severity and mortality from COVID-19, evaluating the prognostic role of commonly used inflammatory indices in SARS-CoV-2-infected patients with cancer accrued to the OnCovid study.MethodsIn a multicenter cohort of SARS-CoV-2-infected patients with cancer in Europe, we evaluated dynamic changes in neutrophil:lymphocyte ratio (NLR); platelet:lymphocyte ratio (PLR); Prognostic Nutritional Index (PNI), renamed the OnCovid Inflammatory Score (OIS); modified Glasgow Prognostic Score (mGPS); and Prognostic Index (PI) in relation to oncological and COVID-19 infection features, testing their prognostic potential in independent training (n=529) and validation (n=542) sets.ResultsWe evaluated 1071 eligible patients, of which 625 (58.3%) were men, and 420 were patients with malignancy in advanced stage (39.2%), most commonly genitourinary (n=216, 20.2%). 844 (78.8%) had ≥1 comorbidity and 754 (70.4%) had ≥1 COVID-19 complication. NLR, OIS, and mGPS worsened at COVID-19 diagnosis compared with pre-COVID-19 measurement (p<0.01), recovering in survivors to pre-COVID-19 levels. Patients in poorer risk categories for each index except the PLR exhibited higher mortality rates (p<0.001) and shorter median overall survival in the training and validation sets (p<0.01). Multivariable analyses revealed the OIS to be most independently predictive of survival (validation set HR 2.48, 95% CI 1.47 to 4.20, p=0.001; adjusted concordance index score 0.611).ConclusionsSystemic inflammation is a validated prognostic domain in SARS-CoV-2-infected patients with cancer and can be used as a bedside predictor of adverse outcome. Lymphocytopenia and hypoalbuminemia as computed by the OIS are independently predictive of severe COVID-19, supporting their use for risk stratification. Reversal of the COVID-19-induced proinflammatory state is a putative therapeutic strategy in patients with cancer.

Optimal timing for hospice-shared care initiation in terminal cancer patients

2021 ◽  
Author(s):  
Yan-Mei Dai ◽  
Ya-Ting Huang ◽  
Min-Yu Lai ◽  
Hsueh-Erh Liu ◽  
Chih-Chung Shiao
Keyword(s):  
Cancer Patients ◽  
Shared Care ◽  
Optimal Timing ◽  
Terminal Cancer ◽  
Terminal Cancer Patients
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