Prognostic nutritional index (PNI), independent of frailty is associated with six-month postoperative mortality

Evaluating nutrition in advanced ovarian cancer: which biomarker works best?

BACKGROUND

Advanced epithelial ovarian cancer (OC) patients often present with malnutrition; however, the ideal nutritional evaluation tool is unclear. We aimed to evaluate the role of preoperative albumin, Prognostic Nutritional Index [PNI], neutrophil-to-lymphocyte ratio [NLR], and platelet-to-lymphocyte ratio [PLR] as independent predictors of severe postoperative complications and 90-day mortality in OC patients who underwent primary cytoreductive surgery to identify the ideal tool.

METHODS

OC patients who underwent surgery at Mayo Clinic (2003-2018) were included; biomarkers were retrospectively retrieved and established cut-offs were utilized. Outcomes included severe complications (Accordion grade ≥ 3) and 90-day mortality. Univariate and multivariable logistic regression models were performed. Biomarkers were evaluated in separate models adjusted for age and American Society of Anesthesiologists (ASA) score for 90-day mortality, and adjusted for age, ASA score, stage, and surgical complexity for severe complications.

RESULTS

Albumin <3.5 g/dL, PNI < 45, NLR > 6 and PLR ≥ 200 were univariately associated with 90-day mortality (all p < 0.05) in 627 patients that met inclusion criteria. Each marker remained significant in adjusted models with albumin having the highest OR: 6.04 [95% CI:2.80-13.03] and AUC (0.83). Univariately, PNI <45, NLR >6, and PLR ≥200 were significant predictors of severe complications(all p < 0.05), however failed to reach significance in adjusted models. Albumin was not associated with severe complications.

CONCLUSION

All biomarkers were associated with 90-day mortality in adjusted models, with albumin being the easiest predictor to attain clinically; none with severe complications. Future research should focus less on methods of nutritional assessment and more on strategies to improve nutrition during OC tumor-directed therapy.

Phenotypes of patients with systemic sclerosis in the Chinese Han population: a cluster analysis

OBJECTIVE

Systemic sclerosis (SSc) is a heterogeneous connective tissue disease that is commonly subdivided into limited cutaneous SSc (lcSSc) and diffuse cutaneous SSc (dcSSc) based on the extent of skin involvement. This subclassification may not reflect the full range of clinical phenotypic variation. This study aimed to investigate clinical features and aggregation of patients with SSc in Chinese based on SSc manifestations and organ involvements, in order to achieve precise treatment of SSc early prevention of complications.

METHODS

In total 287 SSc patients were included in this study. A cluster analysis was applied according to 13 clinical and serologic variables to determine subgroups of patients. Survival rates between obtained clusters and risk factors affecting prognosis were also compared.

RESULT

In this study, six clusters were observed: cluster 1 (n = 66) represented the skin type, with all patients showing skin thickening. In cluster 2 (n = 56), most patients had vascular and articular involvement. Cluster 3 (n = 14) individuals mostly had cardiac and pulmonary involvement. In cluster 4 (n = 52), the gastrointestinal type, 50 patients presented with stomach symptoms and 28 patients presented with esophageal symptoms. In cluster 5 (n = 50), patients barely had any major organ involvement. Cluster 6 (n = 49) included 46% of all patients presenting with renal crisis.

CONCLUSION

The results of our cluster analysis study implied that limiting SSc patient subgroups to those based only on skin involvement might not capture the full heterogeneity of the disease. Organ damage and antibody profiles should be considered when identifying homogeneous patient groups with a specific prognosis. Key Points • Provides a new method of categorizing SSc patients. • Can better explain disease progression and guide subsequent treatment.

Prognostic Nutritional Index and Instant Nutritional Assessement Are Associated with Clinical Outcomes in a Geriatric Cohort of Acutely Inpatients

BACKGROUND

Among elderly inpatients, malnutrition is one of the most important predictive factors affecting length of stay (LOS), mortality, and risk of re-hospitalization.

METHODS

We conducted an observational, retrospective study on a cohort of 2206 acutely inpatients. Serum albumin and lymphocytes were evaluated. Instant Nutritional Assessment (INA) and the Prognostic Nutritional Index (PNI) were calculated to predict in-hospital mortality, LOS, and risk of rehospitalization.

RESULTS

An inverse relationship between LOS, serum albumin, and PNI were found. Deceased patients had lower albumin levels, lower PNI values, and third- and fourth-degree INA scores. An accurate predictor of mortality was PNI (AUC = 0.785) after ROC curve analysis; both lower PNI values (HR = 3.56) and third- and fourth-degree INA scores (HR = 3.12) could be independent risk factors for mortality during hospitalization after Cox regression analysis. Moreover, among 309 subjects with a lower PNI value or third- and fourth-class INA, hospitalization was re-hospitalization.

CONCLUSIONS

PNI and INA are two simple and quick-to-calculate tools that can help in classifying the condition of hospitalized elderly patients also based on their nutritional status, or in assessing their mortality risk. A poor nutritional status at the time of discharge may represent an important risk factor for rehospitalization in the following thirty days. This study confirms the importance of evaluating nutritional status at the time of hospitalization, especially in older patients. This study also confirms the importance for adequate training of doctors and nurses regarding the importance of maintaining a good nutritional status as an integral part of the therapeutic process of hospitalization in acute departments.

Albumin‑bilirubin grade is an independent prognostic factor for small lung cell cancer

Albumin-bilirubin (ALBI) grade was first described in 2015 as an indicator of liver dysfunction in patients with hepatocellular carcinoma. ALBI grade has been reported to have prognostic value in several malignancies including non-small cell lung cancer (NSCLC). The present study aimed to explore the prognostic impact of ALBI grade in patients with small cell lung cancer (SCLC). It retrospectively analyzed 135 patients with SCLC treated at Hebei General Hospital between April 2015 and August 2021. Patients were divided into two groups according to the cutoff point of ALBI grade determined by the receiver operating characteristic (ROC) curve: Group 1 with pre-treatment ALBI grade ≤-2.55 for an improved hepatic reserve and group 2 with ALBI grade >-2.55. Kaplan-Meier and Cox regression analysis were performed to assess the potential prognostic factors associated with progression free survival (PFS) and overall survival (OS). Propensity score matching (PSM) was applied to eliminate the influence of confounding factors. PFS and OS (P<0.001) were significantly improved in group 1 compared with in group 2. Multivariate analysis revealed that sex (P=0.024), surgery (P=0.050), lactate dehydrogenase (LDH; P=0.038), chemotherapy (P=0.038) and ALBI grade (P=0.028) are independent risk factors for PFS and that surgery (P=0.013), LDH (P=0.039), chemotherapy (P=0.009) and ALBI grade (P=0.013) are independent risk factors for OS. After PSM, ALBI grade is an independent prognostic factor of PFS (P=0.039) and OS (P=0.007). It was concluded that ALBI grade was an independent prognostic factor in SCLC.

Preoperative prognostic nutritional index is an independent indicator for perioperative prognosis in coronary artery bypass grafting patients

OBJECTIVES

The prognostic nutritional index is widely used for surgery prognosis, but the association between preoperative prognostic nutritional index and short-term prognosis for coronary artery bypass grafting surgery and the profiles of perioperative prognostic nutritional index remain unclear.

METHODS

This study retrospectively enrolled a total of 879 adult patients undergoing coronary artery bypass grafting surgery in the Shanghai Chest Hospital from 2006 to 2022. The prognostic nutritional index was calculated based on serum albumin and peripheral lymphocyte count. In-hospital mortality, demographic characteristics, blood biochemistry parameters, cardiovascular medical history, and physical examination results were collected from the hospital information system. The propensity score matching method and multivariate logistic regression were used to detect the association between preoperative prognostic nutritional index and in-hospital mortality.

RESULTS

Patients were divided into a high-prognostic nutritional index group (n = 500) and a low-prognostic nutritional index group (n = 379), using a cutoff value of 48.1 according to receiver operating characteristic curve analysis. The propensity score matching-adjusted mean prognostic nutritional index levels decreased from 48.35 before the operation to 34.04 an in ≤24 h after the operation and rebounded to 43.36 before discharge. High preoperative prognostic nutritional index was inversely associated with in-hospital mortality for coronary artery bypass grafting surgery (odds ratio = 0.86; 95% CI, 0.77-0.97) in propensity score matching-adjusted multivariate logistic regression.

CONCLUSIONS

Preoperative prognostic nutritional index is an independent indicator for in-hospital mortality of for coronary artery bypass grafting surgery, and the variation trend of prognostic nutritional index during perioperation tends to be U-shaped.

Association between nutritional status scores and the 30-day mortality in patients with acute kidney injury: an analysis of MIMIC-III database

BACKGROUND

Studies have proven that the risk of acute kidney injury (AKI) increased in patients with malnutrition. Prognostic nutritional index (PNI) and geriatric nutritional risk index (GNRI) were general tools to predict the risk of mortality, but the prognostic value of them for in-hospital mortality among patients with AKI have not been validated yet. Herein, this study aims to explore the association between PNI and GNRI and 30-day mortality in patients with AKI.

METHODS

Demographic and clinical data of 863 adult patients with AKI were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database in 2001-2012 in this retrospective cohort study. Univariate and multivariate Cox proportional regression analyses were used to explore the association between PNI and GNRI and 30-day mortality. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analyses of age, Sequential Organ Failure Assessment (SOFA) score and Simplified Acute Physiology (SAPS-II) score were also performed.

RESULTS

Totally, 222 (26.71%) patients died within 30 days. After adjusting for covariates, PNI ≥ 28.5 [HR = 0.71, 95%CI: (0.51-0.98)] and GNRI ≥ 83.25 [HR = 0.63, 95%CI: (0.47-0.86)] were both associated with low risk of 30-day mortality. These relationships were also found in patients who aged ≥ 65 years old. Differently, high PNI level was associated with low risk of 30-day mortality among patients with SOFA score < 6 or SAPS-II score < 43, while high GNRI was associated with low risk of 30-day mortality among those who with SOFA score ≥ 6 or SAPS-II score ≥ 43 (all P < 0.05).

CONCLUSION

PNI and GNRI may be potential predictors of 30-day mortality in patients with AKI. Whether the PNI is more recommended for patients with mild AKI, while GNRI for those with severe AKI is needed further exploration.

Prognostic significance of controlling nutritional status in older adults with heart failure with preserved ejection fraction: a prospective comparative study with other objective nutritional indices

OBJECTIVE

We explored the prognostic significance of controlling nutritional status (CONUT) score in older adults with heart failure with preserved ejection fraction (HFpEF) and compared CONUT with other objective nutritional indices.

METHODS

This is a single-center retrospective cohort study in older adult coronary artery disease patients undergoing HFpEF. Clinical data and laboratory results were collected before discharge. CONUT, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI) were calculated according to the formula. The primary endpoint of this study was readmission due to heart failure and all-cause mortality in the first year after hospitalization.

RESULTS

A total of 371 older adults were enrolled. All patients were discharged and followed up for 1 year, and readmission for heart failure was 26% while all-cause mortality was 20%. Compared with the none and mild malnutrition risk group, the readmission rate for heart failure (HF) within 1 year (36% vs. 18%, 23%) and all-cause mortality rate in the moderate and severe malnutrition risk group (40% vs. 8%, 0%) were higher (P < 0.05). On multivariate logistic analysis, CONUT was not associated with readmission due to HF within 1 year. CONUT was significantly associated with all-cause mortality independently of GNRI or PNI, after adjustment for major confounders including age, bedridden; length of stay; history of chronic kidney disease; loop diuretics use; angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and beta-adrenergic blocking agents use; New York Heart Association (NYHA) functional class; hemoglobin; potassium; Creatinine; triglycerides; glycosylated hemoglobin; brain natriuretic peptide; left ventricular ejection fraction; GNRI and PNI via multivariable Cox analysis (HR (95% CI) 1.764 (1.503, 2.071); 1.646 (1.359, 1.992); 1.764 (1.503, 2.071), respectively). Kaplan-Meier analysis revealed that the risk of all-cause mortality significantly increased in accordance with a higher CONUT (CONUT 5-12 compare to 0-1:HR (95% CI) 6.16 (3.78, 10.06); CONUT 2-4 compare to 0-1:HR (95% CI) 0.16 (0.10, 0.26)). CONUT showed the best area under the curve value (0.789) for the prediction of all-cause mortality compared with the other objective nutritional indices.

CONCLUSION

CONUT is a simple and strong prognostic indicator for the prediction of all-cause mortality in older adults with HFpEF.

CLINICAL TRIALS

GOV IDENTIFIER

NCT05586828.

Association between preoperative hematologic markers and aggressive behavior in meningiomas

INTRODUCTION

Meningiomas have varying degrees of aggressive behavior. Some systemic hematologic makers are associated with malignancy, but their value in predicting aggressive meningioma behavior is not fully understood.

OBJECTIVE

To evaluate the association between preoperative markers such as neutrophil-lymphocyte ratio (NLR), neutrophil-monocyte ratio (NMR), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), and prognostic nutritional index (PNI), and diagnostic and prognostic factors including WHO grade, proliferation index, presence of edema on preoperative MRI, and tumor recurrence.

METHODS

A retrospective review of patients treated between 2000 and 2019 with a preoperative complete blood count (CBC) differential lab draw before intracranial meningioma resection was conducted. All preoperative steroid dosages were converted to dexamethasone equivalents. Primary outcomes included presence/absence of perilesional edema, WHO grade, Ki-67/MIB-index, and recurrence. Univariate and multivariable regression analyses were conducted.

RESULTS

A total of 209 meningioma patients were included. Of these, 143 (68 %) were WHO grade I, 61 (29 %) grade II and 5 (2 %) were grade III. Recurrence was reported in 19 (9.1 %) tumors. No hematologic markers were associated with recurrence. In separate multivariable logistic analyses, no biomarkers were associated with perilesional edema or WHO grade. MLR was associated with higher MIB-index (p = 0.018, OR 6.57, 95 % CI 1.37-30.91).

CONCLUSION

Most hematologic markers were not associated with meningioma invasiveness, grade, proliferative index, or aggressiveness. Preoperative MLR was associated with high proliferation index in patients undergoing surgery for intracranial meningioma. Higher MLR could be a surrogate for meningioma proliferation and has potential to be used as an adjunct for risk-stratifying meningiomas.

Prognostic value of the preoperative prognostic nutritional index and systemic immuno-inflammatory index in Chinese breast cancer patients: A clinical retrospective cohort study

BACKGROUND

It has been shown that peripheral blood inflammatory factor ratios correlate with the prognosis of various malignancies. Although indicative of prognosis in some tumors, its value for prognosis in breast cancer patients is unclear.

METHODS

The clinical data of breast cancer patients diagnosed with breast cancer in the Second Hospital of Jilin University from January 1, 2013, to December 31, 2017, were retrospectively analyzed. The prognostic nutritional index (PNI) optimal cutoff values of the subjects' operating characteristic curves divided the patients into a low PNI group (≤51.05) and a high PNI group (>51.05). Correlations between breast cancer and PNI clinicopathological variables were determined by the χ² test or Fisher exact test. Kaplan-Meier plots and log-rank tests were used to assess clinical outcomes in terms of disease-free survival (DFS). The prognostic value of PNI was analyzed by univariate and multivariate Cox proportional risk regression models.

RESULTS

The best cutoff value for predicting DFS by pretreatment PNI was 51.05 and the Youden index when was 0.416, with a sensitivity of 71.4% and specificity of 70.2%. Univariate analysis showed that PNI ≤ 51.05, human epidermal growth factor receptor-2 (HER-2) positivity, and the number of lymph node metastases >4 were risk factors affecting DFS in invasive breast cancer (p < 0.05). Cox multifactor analysis showed that PNI and lymph node status were the most important factors affecting the prognosis of invasive breast cancer. Neutrophils-to-lymphocytes ratio and platelets-to-lymphocytes ratio were not significantly correlated with patient prognosis (p > 0.05).

CONCLUSION

Preoperative peripheral blood PNI in patients with invasive breast cancer are independent risk factors affecting patients' prognosis, they are positively correlated with prognosis and can be used as indicators to assess prognosis. PNI, HER-2, and lymph node status had the best predictive efficacy with the area under the curve = 0.816 (95% confidence interval: 0.680-0.951, p < 0.001).

Investigation Of The Relationship Between Prognostic Nutrition Index And Mortality In Patients With Femur Fracture

Aim: The incidence of adverse postoperative outcomes in surgeries for femur fractures is high and is associated with malnutrition. In this study, it was aimed to determine the independent factors for 6-month survival in patients with femur fracture and to evaluate the predictive value of the prognostic nutrition index (PNI). Material and Method: One hundred and sixteen patients operated on only for femoral fracture were divided into survival and non-survival groups according to mortality.Demographic characteristics of the patients, operation data, fracture sites, need for intensive care unit and length of stay, postoperative hospital stay, and preoperative laboratory values, prognostic nutrition indices and mortality were evaluated. Results: Twenty-six (22.4%) of 116 patients who were operated for femoral fracture resulted in 6-month mortality. CRP, albumin, prealbumin, crp/albumin ratio and PNI values at admission were independent risk factors for postoperative mortality (p=0.014, p

Association of prognostic nutritional index with risk of contrast induced nephropathy: A meta-analysis

Background

Although prognostic nutritional index (PNI) has been frequently applied in patients with malignancy or those during postoperative recovery, whether it is also an optimal indicator of the risk of contrast-induced nephropathy (CIN) in patients receiving coronary angiography remains uncertain. This meta-analysis aimed at investigating the clinical association of PNI with the risk of CIN in patients receiving coronary angiography or percutaneous coronary intervention.

Methods

Embase, Medline, Cochrane Library, and Google scholar were searched for studies until January 2023. The relationship between CIN risk and PNI (i.e., low vs. high) (primary outcome) as well as other variables (secondary outcomes) were analyzed using a random-effects model.

Results

Overall, 10 observational studies with 17,590 patients (pooled incidence of CIN: 18%) were eligible for analysis. There was a higher risk of CIN in patients with a low PNI compared to those with a high PNI [odd ratio (OR) = 3.362, 95% confidence interval (CI): 2.054 to 5.505, p < 0.0001, I ² = 89.6%, seven studies, 12,972 patients, certainty of evidence: very low]. Consistently, a lower PNI was noted in patients with CIN compared to those without (Mean difference = -5.1, 95% CI: -6.87 to -3.33, p < 0.00001, I ² = 96%, eight studies, 15,516 patients, certainty of evidence: very low). Other risks of CIN included diabetes and hypertension, while male gender and the use of statins were associated with a lower risk of CIN. Patients with CIN were older, had a higher creatinine level, and received a higher contrast volume compared to those without. On the other hand, pre-procedural albumin, estimated glomerular filtration rate, ejection fraction, hemoglobin, lymphocyte ratio were found to be lower in patients with CIN than in those without.

Conclusion

This meta-analysis highlighted an inverse association of PNI with the risk of CIN, which required further studies for verification.

Systematic review registration

[https://www.crd.york.ac.uk/prospero/], identifier [CRD42023389185].

Prognostic Value of Four Preimplantation Malnutrition Estimation Tools in Predicting Heart Failure Hospitalization of the Older Diabetic Patients with Right Ventricular Pacing

OBJECTIVES

The prognostic value of preimplantation nutritional status is not yet known for older diabetic patients that received right ventricular pacing (RVP). The study aimed to investigate the clinical value of the four malnutrition screening tools for the prediction of heart failure hospitalization (HFH) in older diabetic patients that received RVP.

DESIGN

Retrospective observational cohort study.

SETTING AND PARTICIPANTS

This study was conducted between January 2017 and January 2018 at the Fuwai Hospital, Beijing, China, and included older (age ≥ 65 years) diabetic patients that received RVP for the first time Measurements: The Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Naples Prognostic Score (NPS), and the Controlling Nutritional Status (CONUT) score were used to estimate the preimplantation nutritional status of the patients. Univariate and multivariate Cox proportional hazard regression analyses were performed to investigate the association between preimplantation malnutrition and HFH.

RESULTS

Overall, 231 older diabetic patients receiving RVP were included. The median follow-up period after RVP was 53 months. HFH was reported for 19.9% of the included patients. Our results showed preimplantation malnutrition for 18.2%, 15.2%, 86.6% and 66.2% of the included patients based on the PNI, GNRI, NPS, and CONUT score, respectively. The cumulative rate of HFH during follow-up period was significantly higher for patients in the preimplantation malnutrition group based on the PNI (log-rank = 13.0, P = 0.001), GNRI (log-rank = 8.5, P = 0.01), and NPS (log-rank = 15.7, P < 0.001) compared to the normal nutrition group, but was not statistically significant for those in the preimplantation malnutrition group based on the CONUT score (log-rank = 2.7, P = 0.3). As continuous variables, all the nutritional indices showed significant correlation with HFH (all P < 0.05). However, multivariate analysis showed that only GNRI was independently associated with HFH (HR = 0.97, 95% CI: 0.937-0.997, P = 0.032). As categorical variables, PNI, GNRI, and NPS showed significant correlation with HFH. After adjustment of confounding factors, moderate-to-severe degree of malnutrition was an independent predictor of HFH based on the PNI (HR = 4.66, 95% CI: 1.03-21.00, P = 0.045) and GNRI (HR = 3.02, 95% CI: 1.02-9.00, P = 0.047).

CONCLUSION

Preimplantation malnutrition was highly prevalent in older diabetic patients that received RVP. The malnutrition prediction tools, PNI and GNRI, showed significant prognostic value in accurately predicting HFH in older diabetic patients with RVP.

Pre-operative prognostic nutrition index and post-operative pneumonia in aneurysmal subarachnoid hemorrhage patients

Background and objective

Post-operative pneumonia (POP), a common complication, may be associated with prolonged hospitalization and long-term mortality in aneurysmal subarachnoid hemorrhage (aSAH) patients. This study aimed to explore the association between pre-operative prognostic nutrition index (PNI) and POP in aSAH patients.

Methods

A total of 280 aSAH patients were enrolled from Nanjing Drum Tower Hospital. PNI was calculated as follows: [10 × albumin(gr/dl)] + [0.005 × absolute pre-operative lymphocyte count (per mm³)]. We utilized multivariate analyses, restricted cubic spline, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) to elucidate the role of PNI in POP.

Results

Pre-operative PNI levels in the POP group were higher, compared with the non-POP group (41.0 [39.0, 45.4] vs. 44.4 [40.5, 47.3], P = 0.001). When we included PNI as a categorical variable in the multivariate analysis, the levels of PNI were associated with POP (odds ratio, 0.433; 95% confidence interval, 0.253-0.743; P=0.002). In addition, when we included PNI as a continuous variable in the multivariate analysis, the PNI levels were also associated with POP (odds ratio, 0.942; 95% confidence interval, 0.892-0.994; P = 0.028). The level of albumin was also a predictor of the occurrence of POP, with a lower diagnostic power than PNI [AUC: 0.611 (95% confidence interval, 0.549-0.682; P = 0.001) for PNI vs. 0.584 (95% confidence interval, 0.517-0.650; P = 0.017) for albumin]. Multivariable-adjusted spline regression indicated a linear dose-response association between PNI and POP in aSAH participants (P for linearity = 0.027; P for non-linearity = 0.130). Reclassification assessed by IDI and NRI was significantly improved with the addition of PNI to the conventional model of POP in aSAH patients (NRI: 0.322 [0.089-0.555], P = 0.007; IDI: 0.016 [0.001-0.031], P = 0.040).

Conclusion

The lower levels of pre-operative PNI may be associated with the higher incidence of POP in aSAH patients. Neurosurgeons are supposed to pay more attention to pre-operative nutrition status in aSAH patients.

Which preoperative immunonutritional index best predicts postoperative mortality after palliative surgery for malignant bowel obstruction in patients with late-stage cancer? A single-center study in Japan comparing the modified Glasgow prognostic score (mGPS), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT)

PURPOSE

To compare the utility of preoperative immunonutritional parameter measures for predicting postoperative mortality following palliative surgery (PS) for malignant bowel obstruction (MBO) in patients with late-stage cancer.

METHODS

The subjects of this retrospective study were 83 late-stage cancer patients with MBO who underwent PS between January, 2005 and December, 2018, at a single institution in Japan. We compared the modified Glasgow prognostic score (mGPS), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT) for predicting postoperative mortality following PS in these patients.

RESULTS

The most prevalent cancer in the patients who underwent PS was colorectal cancer (54.2%), followed by gastric cancer (24.1%). Postoperative complications of Clavien-Dindo classification grade ≥ 2 developed in 32 (38.6%) patients and stoma-related complications developed in 26 (31.3%) patients. There were 15 (18.1%) patients with 60-day mortality, 22 (26.5%) with 90-day mortality, and 4 (4.8%) with 30-day mortality. Multivariable analysis identified only mGPS as being associated with 60-day mortality (odds ratio, 9.387; 95% confidence interval, 0.001-4.478; p = 0.049). The overall survival of patients with a mGPS score of 2 was significantly worse than that of those with a mGPS score of < 2 (p = 0.013).

CONCLUSIONS

These results suggest that the mGPS is a good predictor not only of 60-day mortality, but also of the overall survival of patients with late-stage cancer and MBO.

Predictive value of the preoperative prognostic nutritional index for postoperative progression in patients with pancreatic neuroendocrine neoplasms

Objective

The preoperative nutritional status of cancer patients is closely related to prognosis. The prognostic nutritional index (PNI) has been shown to predict the prognosis of a variety of tumors, but its study in pancreatic neuroendocrine neoplasms (pNENs) is lacking. The aim of the present study is to investigate the predictive value of the preoperative PNI for postoperative progression in patients with pNENs.

Methods

The medical records of 181 patients with pNENs, who underwent surgery, were retrospectively analyzed. A time-dependent receiver operating characteristic (ROC) curve was plotted to determine the optimal cut-off value of the preoperative PNI. Correlations between the preoperative PNI and clinicopathological parameters were analyzed using multiple linear regression. A Kaplan-Meier curve was applied to assess the progression-free survival (PFS) rate, which was tested using a log rank. Univariate and multivariate Cox proportional risk regression models were used to analyze the predictive value of the preoperative PNI on prognosis.

Results

The optimal cut-off value of the preoperative PNI was 48.275. The patients were divided into a high PNI group (PNI > 48.275, n = 92) and a low PNI group (PNI ≤ 48.275, n = 89). The proportion of patients with tumor progression after surgery was significantly higher in the low PNI group compared with that in the high PNI group (P = 0.004). The Kaplan-Meier curve showed that the PFS rate after surgery was significantly lower in the low PNI group compared with that in the high PNI group (P = 0.026). The preoperative PNI was an independent predictor of PFS (HR: 2.727, 95% CI: 1.174∼6.333, P = 0.020).

Conclusion

The preoperative PNI has a predictive value for postoperative progression in patients with pNENs.

The Age-adjusted Charlson Comorbidity Index predicts post-operative delirium in the elderly following thoracic and abdominal surgery: A prospective observational cohort study

Background

Post-operative delirium (POD) presents as a serious neuropsychiatric syndrome in the elderly undergoing thoracic and abdominal surgery, which is mostly associated with poor prognosis. The Age-adjusted Charlson Comorbidity Index (ACCI) has been widely recognized as an independently predictive factor for overall survival rate and mortality in various surgeries. However, no studies demonstrated the potential relationship between ACCI and POD. The current study was to explore the correlation between ACCI and POD, and determine the predictive effect of ACCI on POD in the elderly after thoracic and abdominal surgery.

Materials and methods

Total 184 patients (≥60 years) who underwent thoracic and abdominal surgery from 2021.10 to 2022.5 were enrolled in this prospective observational cohort study. ACCI was calculated by weighting comorbidities and age. POD was diagnosed using Confusion Assessment Method (CAM) twice a day in the first 3 days after surgery. The Visual Analog Scale (VAS) was applied to measure pre-operative and post-operative pain at rest and in motion. All demographic and perioperative data were compared in patients with POD and without POD. ACCI and other variables were analyzed by univariate and multivariate logistic regression analysis. The characteristic curve of receiver operating characteristic (ROC) was used to further evaluate the accuracy of ACCI to predict POD.

Results

Post-operative delirium was diagnosed in 36 of 184 patients included in our study. The prevalence of POD in the elderly after thoracic and abdominal surgery was 19.6%. The outcomes by multivariate regression analysis showed the independent risk factors for POD were ACCI (OR: 1.834; 95%CI: 1.434–2.344; P < 0.001), pre-operative Mini-Mental State Examination (MMSE) scores (OR: 0.873; 95%CI: 0.767–0.994; P = 0.040), serum albumin (OR: 0.909; 95%CI: 0.826–1.000; P = 0.049) and pain scores in the post-operative third day (OR: 2.013; 95%CI: 1.459–2.778; P < 0.001). ACCI can predict POD more accurately with the largest area under curve (AUC) of 0.794 and sensitivity of 0.861, respectively.

Conclusion

Age-adjusted Charlson Comorbidity Index, pre-operative MMSE scores, serum albumin and post-operative pain were independently associated with POD in geriatric patients following thoracic and abdominal surgery. Moreover, ACCI may become an accurate indicator to predict POD early.

Modified Frailty Index Combined with a Prognostic Nutritional Index for Predicting Postoperative Complications of Hip Fracture Surgery in Elderly

Aim: There is currently no consensus on the best risk assessment technique for predicting complications after hip surgery in the elderly, which is hindering the accuracy of surgical risk assessment. The goal of this study was to build a risk assessment model and evaluate its predictive value using the modified frailty index (5-mFI) and the prognostic nutritional index (PNI).Methods: A retrospective investigation was undertaken on 150 patients (aged ≥60 years) who had hip fracture surgery. Using univariate and multivariate logistic regression models, the relationship between combined 5-mFI and PNI and the evaluation of postoperative unfavorable outcomes such as infection and unscheduled intensive care unit (ICU) admission was investigated. Finally, utilizing receiver operating characteristic (ROC) curve analysis, the model's predictive value for adverse outcomes following hip fracture surgery in elderly patients was assessed.Results: Univariate and multivariate logistic analyses revealed that preoperative PNI, 5-mFI, ASA, and gender acted as independent predictors of adverse outcomes after hip fracture surgery in the elderly. According to the ROC curve analysis, the predictive model demonstrated a high predictive value for total postoperative complications (AUC: 0.788; 95%CI: 0.715-0.860; p<0.01), infectious complications (AUC: 0.798; 95% CI: 0.727-0.868; P<0.001), and unplanned ICU admission (AUC: 0.783; 95% CI: 0.705-0.861; P<0.001).Conclusions: The multivariable evaluation model, which included 5-mFI and PNI, showed a high predictive value and can hence be applied to predict the adverse outcomes in elderly patients undergoing hip fracture surgery.

Relationship Between Prognostic Nutrition Index and New York Heart Association Classification in Patients with Coronary Heart Disease: A RCSCD-TCM Study

Aim

This study aimed to elucidate the relationship between the prognostic nutrition index (PNI) of patients with coronary heart disease (CHD) and the New York Heart Association (NYHA) classification and the complex relationship between PNI combined body mass index (BMI) and NYHA classification.

Methods

The PNI was applied to 17,413 consecutive patients with CHD. Patients were divided into three groups according to PNI: normal nutrition (PNI ≥ 38), moderate malnutrition (35 < PNI < 38), and severe malnutrition (PNI ≤ 35). A total of 2,052 CHD patients with BMI were selected and stratified by combined subgroups of nutritional status and BMI. Logistic regression analysis was used to evaluate the relationship between the PNI and NYHA classification and to adjust for confounding factors.

Results

The prevalence of malnutrition among the 17,413participants with CHD was 4.2%. Moderate and severe malnutrition were significantly related to NYHA class III and V, and the strongest relationship was observed in NYHA class V (odd ratio [OR]: 6.564; 95% confidence interval [CI]: 4.043–10.658). Malnourished-underweight patients and malnourished-overweight patients were significantly associated with higher NYHA classification, and malnourished-underweight patients (OR: 8.038; 95% CI: 2.091–30.892) were significantly more than malnourished-overweight patients (OR: 3.580; 95% CI: 1.286–9.966).

Conclusion

There were differences in the NYHA classification of CHD patients with different nutritional statuses. The lower the PNI, the worse the NYHA classification of CHD patients. Malnourished-underweight patients had a worse NYHA classification than malnourished-overweight patients.

Prognostic nutritional index and mortality in children and adolescents underwent cardiac surgery

Abstract Objectives: to analyze the prognostic nutritional index and factors associated with mortality in children and adolescents with heart disease who underwent cardiac surgery. Methods: this is a longitudinal, retrospective study that included 98 children and adolescents with heart disease from 0 to 14 years old, and assessed the prognostic nutritional index and nutritional status, through the body mass index for age, weight for height, weight for age and height for age. Multiple logistic regression analysis was performed. Results: malnutrition was present in 27 patients, 68 were categorized as having a low prognostic nutritional index and 16 died. In the adjusted analysis, malnutrition (OR=4.11; CI95%=1.26-13.40; p=0.019), the low body mass index for age (OR=4.14; CI95%=1.26-13.61; p=0.019), low weight for height (OR=4.15; CI95%=1.29-13.35; p=0.017) and low weight for age (OR=5.20; CI95%=1.39-19.43; p=0.014) were associated with mortality. Conclusions: malnutrition, low body mass index for age, weight for height and weight for age had shown a significant association with mortality. Despite being an easily applicable indicator of nutritional status, the findings suggest no association between the prognostic nutritional index and mortality in patients with congenital heart disease after cardiac surgery.

The impact of the age-adjusted Charlson comorbidity index as a prognostic factor for endoscopic papillectomy in ampullary tumors

BACKGROUND

The prognostic nutritional index (PNI) and Charlson comorbidity index (CCI) have been useful for predicting the prognosis based on nutritional condition and comorbidities in surgery and endoscopic mucosal dissection. The age-adjusted CCI (ACCI) has also been reported to be useful in surgery, but it has not been applied to endoscopic treatment. We therefore clarified the prognostic factors associated with ampullary tumors treated with endoscopic papillectomy (EP).

METHODS

From January 2003 to December 2020, 236 patients who underwent EP for sporadic ampullary tumors at Nagoya University Hospital were included in this study. The 5-year survival and ability to predict the prognosis were evaluated in terms of the sex, PNI, ACCI, final pathological diagnosis, and intraductal extension.

RESULTS

During a median follow-up period of 1558 days, 17 patients died. No patient died of the primary disease. The 5-year survival rate was 91.1%. In a univariate analysis, only a high ACCI (≥ 5) was extracted as a significant prognostic factor (Odds ratio, 12.2; 95% confidence interval, 3.81-39.3; p < 0.001). The 5-year survival rates for a low ACCI (≤ 4) and high ACCI were 96.6% and 73.5%, respectively (p < 0.001).

CONCLUSIONS

A high ACCI is an important prognostic factor associated with the 5-year survival and a risk of death from other illness. Ampullary tumors suitable for EP are less likely to be a prognostic factor, and treatment-free follow-up may be acceptable in patients with a high ACCI.

Low-Density Lipoprotein Cholesterol and Mortality Risk in Elderly Patients Undergoing Valve Replacement Surgery: A Propensity Score Matching Analysis

BACKGROUND

The prognostic value of low-density lipoprotein cholesterol (LDL-C) in elderly patients is controversial. This study aimed to elucidate the relationship between the preoperative LDL-C and adverse outcomes in elderly patients undergoing valve replacement surgery (VRS).

METHODS

A total of 2,552 aged patients (age ≥ 60 years) undergoing VRS were retrospectively recruited and divided into two groups according to LDL-C level on admission: low LDL-C (<70 mg/dL, n = 205) and high LDL-C groups (≥ 70 mg/dL, n = 2,347). The association between the preoperative LDL-C with in-hospital and one-year mortality was evaluated by propensity score matching analysis and multivariate analysis.

RESULTS

The mean age was 65 ± 4 years and 1,263 (49.5%) were men. Patients in the low LDL-C group were significantly older (65.9 ± 4.6 vs. 64.9 ± 4.1, p = 0.002), with more male (65.4 vs. 48.1%, p < 0.001), higher alanine transaminase (ALT) (21 vs. 19, p = 0.001), lower serum albumin (35.3 ± 4.6 vs. 37.1 ± 4.1, p < 0.001), higher serum creatinine (92.2 ± 38.2 vs.84.6 ± 26.1, p = 0.006), lower lymphocyte count (1.7 ± 0.7 vs. 1.9 ± 0.6, p < 0.001), lower hemoglobin (121.9 ± 22.3 vs. 130.2 ± 16.5, p < 0.001), lower platelet count (171.3 ± 64.3 vs. 187.7 ± 58.7, p < 0.001), lower prognostic nutrition index (44 ± 6.2 vs. 46.7 ± 5.8, p < 0.001), and more severe tricuspid regurgitation (33.7 vs. 25.1%, p = 0.008). The rates of in-hospital death (11.2 vs. 3.7%, p < 0.001) and major adverse clinical events (17.6 vs. 9.6%, p < 0.001) were significantly higher in the low LDL-C group. The cumulative one-year death rate was significantly higher in the low LDL-C group (Log-Rank = 16.6, p < 0.001). After matching analysis and multivariate analysis, no association between LDL-C level and adverse outcomes was detected (all p > 0.05).

CONCLUSION

Our study did not support the negative relationship between LDL-C level and mortality risk in elderly patients undergoing VRS.

The need for nutritional assessment and interventions based on the prognostic nutritional index for patients with femoral fractures: a retrospective study

Background

The incidence of adverse perioperative outcomes in surgery for femoral fractures is high and associated with malnutrition. Here, we identified independent factors and assessed the predictive value of the prognostic nutritional index (PNI) for perioperative adverse outcomes in patients with femoral fractures.

Methods

This retrospective study included 343 patients who underwent surgery for a single femur fracture. Demographic characteristics, surgery and anaesthesia records and blood test results at admission, 1 day postoperatively and before discharge were evaluated using logistic regression analysis. The discriminatory ability of the independent factors was assessed using the receiver operating characteristic curve analysis, and DeLong’s test was used to compare the area under the curve (AUC).

Results

Overall, 159 patients (46.4%) experienced adverse perioperative outcomes. Amongst these, 123 (35.9%) had lower limb vein thrombus, 68 (19.8%) had hospital-acquired pneumonia, 6 (1.7%) were transferred to the postoperative intensive care unit, 4 (1.2%) had pulmonary embolism, 3 (0.9%) died during hospitalisation and 9 (2.6%) had other adverse outcomes, including incision disunion, renal and liver function impairment, acute heart failure, acute cerebral infarction and stress gastroenteritis. The PNI at admission, age, postoperative hospital stay, time to admission, hypertension, combined injures and surgery type were independent factors for adverse perioperative outcomes. Based on the AUC (PNI at admission: 0.772 [0.723–0.821], P < 0.001; age: 0.678 [0.622–0.734], P < 0.001; postoperative hospital stay: 0.608 [0.548–0.668], P = 0.001; time to admission: 0.585 [0.525–0.646], P = 0.006), the PNI at admission had optimal discrimination ability, indicating its superiority over other independent factors (age vs. PNI at admission, P = 0.002; postoperative hospital stay vs. PNI at admission, P < 0.001; time to admission vs. PNI at admission, P < 0.001).

Conclusions

Patients with femoral fractures require a nutritional assessment and appropriate nutritional intervention at admission, and that the PNI value at admission may be a good nutritional assessment indicator.

The effectiveness of systemic therapies after surgery for metastatic renal cell carcinoma to the spine: a propensity analysis controlling for sarcopenia, frailty, and nutrition

OBJECTIVE

The effectiveness of starting systemic therapies after surgery for spinal metastases from renal cell carcinoma (RCC) has not been evaluated in randomized controlled trials. Agents that target tyrosine kinases, mammalian target of rapamycin signaling, and immune checkpoints are now commonly used. Variables like sarcopenia, nutritional status, and frailty may impact recovery from spine surgery and are considered when evaluating a patient's candidacy for such treatments. A better understanding of the significance of these variables may help improve patient selection for available treatment options after surgery. The authors used comparative effectiveness methods to study the treatment effect of postoperative systemic therapies (PSTs) on survival.

METHODS

Univariable and multivariable Cox regression analyses were performed to determine factors associated with overall survival (OS) in a retrospective cohort of adult patients who underwent spine surgery for metastatic RCC between 2010 and 2019. Propensity score-matched (PSM) analysis and inverse probability weighting (IPW) were performed to determine the treatment effect of PST on OS. To address confounding and minimize bias in estimations, PSM and IPW were adjusted for covariates, including age, sex, frailty, sarcopenia, nutrition, visceral metastases, International Metastatic RCC Database Consortium (IMDC) risk score, and performance status.

RESULTS

In total, 88 patients (73.9% male; median age 62 years, range 29-84 years) were identified; 49 patients (55.7%) had an intermediate IMDC risk, and 29 (33.0%) had a poor IMDC risk. The median follow-up was 17 months (range 1-104 months) during which 57 patients (64.7%) died. Poor IMDC risk (HR 3.2 [95% CI 1.08-9.3]), baseline performance status (Eastern Cooperative Oncology Group score 3 or 4; HR 2.7 [95% CI 1.5-4.7]), and nutrition (prognostic nutritional index [PNI] first tertile, PNI < 40.74; HR 2.69 [95% CI 1.42-5.1]) were associated with worse OS. Sarcopenia and frailty were not significantly associated with poor survival. PST was associated with prolonged OS, demonstrated by similar effects from multivariable Cox analysis (HR 0.55 [95% CI 0.30-1.00]), PSM (HR 0.53 [95% CI 0.29-0.93]), IPW (HR 0.47 [95% CI 0.24-0.94]), and comparable confidence intervals. The median survival for those receiving PST was 28 (95% CI 19-43) months versus 12 (95% CI 4-37) months for those who only had surgery (log-rank p = 0.027).

CONCLUSIONS

This comparative analysis demonstrated that PST is associated with improved survival in specific cohorts with metastatic spinal RCC after adjusting for frailty, sarcopenia, and malnutrition. The marked differences in survival should be taken into consideration when planning for surgery.

Intraoperative haemodynamics and postoperative intensive care unit admission in older patients with cancer

PURPOSE

Research on the impact of various intraoperative haemodynamic variables on the incidence of postoperative ICU admission among older patients with cancer is limited. In this study, the relationship between intraoperative haemodynamic status and postoperative intensive care unit admission among older patients with cancer is explored.

METHODS

Patients aged ≥75 who underwent elective oncologic surgery lasting ≥120min were analysed. Chi-squared and t-tests were used to assess the associations between intraoperative variables with postoperative intensive care unit admission. Multivariable regressions were used to analyse potential predict risk factors for postoperative intensive care unit admission.

RESULTS

Out of 994 patients, 48 (4.8%) were admitted to the intensive care unit within 30 days following surgery. Intensive care unit admission was associated with the presence of ≥4 comorbid conditions, intraoperative blood loss ≥100mL, and intraoperative tachycardia and hypertensive urgency. On multivariable analysis, operation time ≥240min (Odds Ratio [OR] = 2.29, p = 0.01), and each minute spent with intraoperative hypertensive urgency (OR = 1.06, p = 0.01) or tachycardia (OR = 1.01, p = 0.002) were associated with postoperative intensive care unit admission.

CONCLUSION

Intraoperative hypertensive urgency and tachycardia were associated with postoperative intensive care unit admission in older patients undergoing cancer surgery.

Performance assessment of the metastatic spinal tumor frailty index using machine learning algorithms: limitations and future directions

OBJECTIVE

Frailty is recognized as an important consideration in patients with cancer who are undergoing therapies, including spine surgery. The definition of frailty in the context of spinal metastases is unclear, and few have studied such markers and their association with postoperative outcomes and survival. Using national databases, the metastatic spinal tumor frailty index (MSTFI) was developed as a tool to predict outcomes in this specific patient population and has not been tested with external data. The purpose of this study was to test the performance of the MSTFI with institutional data and determine whether machine learning methods could better identify measures of frailty as predictors of outcomes.

METHODS

Electronic health record data from 479 adult patients admitted to the Massachusetts General Hospital for metastatic spinal tumor surgery from 2010 to 2019 formed a validation cohort for the MSTFI to predict major complications, in-hospital mortality, and length of stay (LOS). The 9 parameters of the MSTFI were modeled in 3 machine learning algorithms (lasso regularization logistic regression, random forest, and gradient-boosted decision tree) to assess clinical outcome prediction and determine variable importance. Prediction performance of the models was measured by computing areas under the receiver operating characteristic curve (AUROCs), calibration, and confusion matrix metrics (positive predictive value, sensitivity, and specificity) and was subjected to internal bootstrap validation.

RESULTS

Of 479 patients (median age 64 years [IQR 55-71 years]; 58.7% male), 28.4% had complications after spine surgery. The in-hospital mortality rate was 1.9%, and the mean LOS was 7.8 days. The MSTFI demonstrated poor discrimination for predicting complications (AUROC 0.56, 95% CI 0.50-0.62) and in-hospital mortality (AUROC 0.69, 95% CI 0.54-0.85) in the validation cohort. For postoperative complications, machine learning approaches showed a greater advantage over the logistic regression model used to develop the MSTFI (AUROC 0.62, 95% CI 0.56-0.68 for random forest vs AUROC 0.56, 95% CI 0.50-0.62 for logistic regression). The random forest model had the highest positive predictive value (0.53, 95% CI 0.43-0.64) and the highest negative predictive value (0.77, 95% CI 0.72-0.81), with chronic lung disease, coagulopathy, anemia, and malnutrition identified as the most important predictors of postoperative complications.

CONCLUSIONS

This study highlights the challenges of defining and quantifying frailty in the metastatic spine tumor population. Further study is required to improve the determination of surgical frailty in this specific cohort.

Novel Prognostic Nomogram for Recurrence-Free Survival of Patients With Primary Gastrointestinal Stromal Tumors After Surgical Resection: Combination of Prognostic Nutritional Index and Basic Variables

Background

Gastrointestinal stromal tumor (GIST) is the most common type of mesenchymal tumors in the digestive tract, often recrudescing even after R0 resection. Adjuvant tyrosine kinase inhibitor therapy prolonged recurrence-free survival (RFS). This study aimed to develop a novel nomogram for predicting the RFS of patients following surgical resection of GISTs.

Methods

Clinicopathologic data of patients with GISTs at Tianjin Medical University General Hospital (Tianjin, China) from January 2000 to October 2019 were retrospectively reviewed. Univariate and multivariate Cox regression analyses were used to select the suitable variables from the training cohort to construct a nomogram for 2- and 5-year RFS. The 1,000 bootstrap samples and calibration curves were used to validate the discrimination of the nomogram. The receiver operating characteristic analysis(ROC) was used to compare the predictive ability of the nomogram and present four commonly used risk stratification systems: National Institutes of Health (NIH)–Fletcher staging system; NIH–Miettinen criteria; Modified NIH criteria; and Air Forces Institute of Pathology risk criteria (AFIP).

Results

Univariate and multivariate analyses showed that the tumor site, tumor size, mitotic index, tumor rupture, and prognostic nutritional index were significant factors associated with RFS. These variables were selected to create the nomogram for 2- and 5-year RFS (all P<0.05). The 2- and 5-year the ROC of the nomogram were 0.821 (95% confidence interval [CI]: 0.740–0.903) and 0.798 (95% CI: 0.739–0.903); NIH–Fletcher criteria were 0.757 (95% CI: 0.667–0.846) and 0.683 (95% CI: 0.613–0.753); NIH–Miettinen criteria were 0.762 (95% CI: 0.678–0.845) and 0.718 (95% CI: 0.653–0.783); Modified NIH criteria were 0.750 (95% CI: 0.661–0.838) and 0.689 (95% CI: 0.619–0.760); and AFIP were 0.777 (95% CI: 0.685–0.869) and 0.708 (95% CI: 0.636–0.780). Hence, the predictive probabilities of our nomogram are better than those of other GIST risk stratification systems.

Conclusion

This nomogram, combining tumor site, tumor size, mitotic index, tumor rupture, and prognostic nutritional index, may assist physicians in providing individualized treatment and surveillance protocols for patients with GISTs following surgical resection.