Clinical significance of prognostic nutrition index in hospitalized patients with COVID-19: Results from single-center experience with systematic review and meta-analysis

Investigation of the predictive value of systemic immune inflammation index (SII) and prognostic nutritional index (PNI) on mortality in patients with endoprosthesis after hip fracture

In this research, we aimed to investigate the predictive value of the systemic immune inflammation index and prognostic nutritional index on mortality among patients with an endoprosthesis after a hip fracture. In this retrospective, cross-sectional study, a total of 915 patient files applied to our hospital between 2020 and 2023 with an endoprosthesis after a hip fracture were subjected to the study. The patients were divided into 2 groups: alive (n = 396; 43.3%) and deceased (n = 519; 56.7%). The eosinophil-to-lymphocyte ratio, hemoglobin-to-red cell distribution width ratio (HRR), mean platelet volume-to-platelet ratio (MPVPR), neutrophil-to-lymphocyte ratio, monocyte/lymphocyte ratio, platelet-to-lymphocyte ratio, MPV-to-lymphocyte ratio, monocyte-to-eosinophil ratio (MER), neutrophile-to-monocyte ratio, systemic inflammation index (SII), and prognostic nutritional index (PNI) parameters of the patients were evaluated. The mortality rate was higher among male patients, with a statistically significant difference (P < .05). The follow-up duration, albumin, HGB, eosinophil, lymphocyte, eosinophil %, eosinophil-to-lymphocyte ratio, HRR, and PNI means were significantly higher in the living group (P < .05). Age, MPV, MPVPR, neutrophil-to-lymphocyte ratio, monocyte/lymphocyte ratio, platelet-to-lymphocyte ratio, MPV-to-lymphocyte ratio, MER, and systemic inflammation index were significantly higher in the deceased group (P < .05). The predictive value of gender (B = -0.362; P < .01), age (B = 0.036; P < .01), HRR (B = -1.100; P < .01), MPVPR (B = 8.209; P < .01), MER (B = 0.006; P < .01), and PNI (B = -0.078; P < .01) were statistically significant at the multivariate level. The time of death was significantly predicted by gender (B = 0.10; P < .05), age (B = -0.02; P < 0 = 1), HRR (B = 0.61; P < .01), MPVPR (r = -4.16; P < .01), MER (B = -0.01; P < .05), and PNI (B = 0.03; P < .01). The predictive value of PNI for the 30-day mortality rate was statistically significant (AUC: 0.643; P < .01). For a PNI cutoff value of 34.475, sensitivity was 69.7%, and specificity was 51.1%. The PNI has predictive value both in estimating overall mortality and in predicting the 30-day mortality rates among patients undergoing endoprosthesis after a hip fracture.

Postoperative Prognostic Nutritional Index and Fibrinogen Could Well Predict Poor Prognosis of Acute Type A Aortic Dissection Patients After Surgery

INTRODUCTION

Inflammatory and immunological factors play pivotal roles in the prognosis of acute type A aortic dissection. We aimed to evaluate the prognostic values of immune-inflammatory parameters in acute type A aortic dissection patients after surgery.

METHODS

A total of 127 acute type A aortic dissection patients were included. Perioperative clinical data were collected through the hospital's information system. The outcomes studied were delayed extubation, reintubation, and 30-day mortality. Multivariate logistic regression analysis and receiver operating characteristic analysis were used to screen the risk factors of poor prognosis.

RESULTS

Of all participants, 94 were male, and mean age was 51.95±11.89 years. The postoperative prognostic nutritional indexes were lower in delayed extubation patients, reintubation patients, and patients who died within 30 days. After multivariate regression analysis, the postoperative prognostic nutritional index was a protective parameter of poor prognosis. The odds ratios (95% confidence interval) of postoperative prognostic nutritional index were 0.898 (0.815, 0.989) for delayed extubation and 0.792 (0.696, 0.901) for 30-day mortality. Low postoperative fibrinogen could also well predict poor clinical outcomes. The odds ratios (95% confidence interval) of postoperative fibrinogen were 0.487 (0.291, 0.813) for delayed extubation, 0.292 (0.124, 0.687) for reintubation, and 0.249 (0.093, 0.669) for 30-day mortality.

CONCLUSION

Postoperative prognostic nutritional index and postoperative fibrinogen could be two promising markers to identify poor prognosis of acute type A aortic dissection patients after surgery.

Prognostic and clinicopathological significance of the Prognostic Nutritional Index in patients with gastrointestinal stromal tumours undergoing surgery: a meta-analysis

OBJECTIVES

Previous studies have investigated the prognostic value of the Prognostic Nutritional Index (PNI) in patients with gastrointestinal stromal tumours (GISTs). However, the results have been inconsistent. We performed a meta-analysis to quantitatively determine the prognostic and clinicopathological significance of PNI in GISTs.

DESIGN

This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Pooled HRs and 95% CIs were calculated to estimate the prognostic value of PNI in patients with GISTs. Combined ORs and corresponding 95% CIs were used to evaluate the association between the PNI and clinicopathological characteristics.

DATA SOURCES

The electronic databases PubMed, Web of Science, Embase and Cochrane Library were thoroughly searched from inception to December 2021.

ELIGIBILITY CRITERIA

A random-effects model or fixed-effects model was selected based on the level of heterogeneity among the included studies.

RESULTS

Eight studies comprising 2307 patients were included in this meta-analysis. A low PNI was significantly associated with worse recurrence-free survival (RFS) (HR 2.02, 95% CI 1.66 to 2.47, p<0.001) and overall survival (OS) (HR 4.35, 95% CI 1.25 to 16.83, p=0.033) in patients with GISTs. In addition, a low PNI was significantly associated with tumour size ≥5 cm (OR 1.65, 95% CI 1.21 to 2.24, p=0.002) and primary tumour site in small intestine/colorectum/extra-GISTs (OR 2.03, 95% CI 1.26 to 3.26, p=0.004).

CONCLUSIONS

Patients with GISTs and a lower PNI had inferior RFS and OS. Patients with GISTs and a low PNI may have a higher risk of tumour recurrence.

Association of Prognostic Nutritional Index with Severity and Mortality of Hospitalized Patients with COVID-19: A Systematic Review and Meta-Analysis

The associations of prognostic nutritional index (PNI) with disease severity and mortality in patients with coronavirus disease 2019 (COVID-19) remain unclear. Electronic databases, including MEDLINE, EMBASE, Google scholar, and Cochrane Library, were searched from inception to 10 May 2022. The associations of PNI with risk of mortality (primary outcome) and disease severity (secondary outcome) were investigated. Merged results from meta-analysis of 13 retrospective studies (4204 patients) published between 2020 and 2022 revealed a lower PNI among patients in the mortality group [mean difference (MD): −8.65, p < 0.001] or severity group (MD: −5.19, p < 0.001) compared to those in the non-mortality or non-severity groups. A per-point increase in PNI was associated with a reduced risk of mortality [odds ratio (OR) = 0.84, 95% CI: 0.79 to 0.9, p < 0.001, I2 = 67.3%, seven studies] and disease severity (OR = 0.84, 95% CI: 0.77 to 0.92, p < 0.001, I2 = 83%, five studies). The pooled diagnostic analysis of mortality yielded a sensitivity of 0.76, specificity of 0.71, and area under curve (AUC) of 0.79. Regarding the prediction of disease severity, the sensitivity, specificity, and AUC were 0.8, 0.61, and 0.65, respectively. In conclusion, this study demonstrated a negative association between PNI and prognosis of COVID-19. Further large-scale trials are warranted to support our findings.

Prognostic nutritional index: Is it associated with the prognosis of Crimean Congo hemorrhagic fever

INTRODUCTION

The prognostic nutritional index (PNI) is calculated using total serum lymphocyte counts and albumin levels. We aimed to analyze the role of PNI in predicting intensive care unit (ICU) referral and mortality in patients with Crimean Congo hemorrhagic fever (CCHF).

MATERIALS AND METHODS

Our target population was adult (age >18) patients who presented between March 2015 and October 2021 within 5 days of symptom emergence and were diagnosed with CCHF. The predictive value of PNI was analyzed by the receiver operating curve analysis. The patients were categorized based on the severity grading scores (SGS) as mild, moderate, and severe. The relationship between PNI and ICU referral and mortality was analyzed by logistic regression analysis.

RESULTS

Overall, 115 patients with the diagnosis of CCHF were included. 13.9% (n = 16) of the patients were referred to ICU while 11.3% (n = 13) died. A comparison of the patients with different SGS grades revealed that they were significantly different regarding PNI (p < 0.001). There was a significant negative correlation between PNI and SGS (r = -0.662; p < 0.001). PNI had a PV regarding ICU referral and mortality ([area under the curve [AUC] = 0.723, 95% confidence interval [CI]: 0.609-0.836, p = 0.004 [AUC = 0.738, 95% CI: 0.613-0.863, p = 0.005]). The PNI threshold was 36.1 for ICU referral and mortality. The rates of female patients, hospitalization periods longer than 1 week, platelet apheresis replacement, diabetes mellitus, bleeding history, ICU admission, and mortality were significantly higher in patients with a PNI of lower than 36.1 (p < 0.05).

CONCLUSION

PNI can predict ICU referral and mortality in patients admitted due to CCHF.

Nutrition risk assessed by Nutritional Risk Screening 2002 is associated with in-hospital mortality in older patients with COVID-19

BACKGROUND

Although numerous studies have been performed to determine predictors of coronavirus disease 2019 (COVID-19) mortality, studies that address the geriatric age group are limited. The aim of this study was to investigate the utility of the Nutritional Risk Screening 2002 (NRS-2002) and the Geriatric 8 (G8) screening tools in predicting clinical outcomes in older adults hospitalized with COVID-19.

METHODS

Patients aged ≥60 years who were hospitalized with COVID-19 in the second wave of the pandemic were included in the study. COVID-19 infection was demonstrated by a positive real-time reverse transcriptase-polymerase chain reaction on nasopharyngeal swab or positive radiological findings. Disease severity was determined as defined by the National Institutes of Health. Patient demographics, laboratory values on admission, comorbidities, and medications were recorded. The NRS-2002 and the G8 screening tools were performed for all patients by the same geriatrician. Primary outcome was in-hospital mortality.

RESULTS

A total of 121 patients were included. Mean age was 75 ± 9 years, and 51% were female. Mean body mass index was 27 ± 4.5 kg/m² . Sixty-nine percent of the patients had nutrition risk according to the NRS-2002. Eighty-nine percent of the patients had a G8 score ≤14. In-hospital mortality occurred in 26 (22%) patients. Older age and having nutrition risk as determined by the NRS-2002 were independently associated with a higher risk of in-hospital mortality in older patients with COVID-19.

CONCLUSION

The NRS-2002 tool provides rapid assessment for risk stratification in hospitalized older patients with COVID-19.

Prognostic Nutritional Index and Oxygen Therapy Requirement Associated With Longer Hospital Length of Stay in Patients With Moderate to Severe COVID-19: Multicenter Prospective Cohort Analyses

Purpose

To evaluate whether the prognostic nutritional index (PNI) is related to the oxygen therapy requirement at hospital admission and to ascertain the prognostic effect of the PNI and the oxygen therapy requirement as predictors of hospital length of stay in patients with moderate to severe coronavirus disease 2019 (COVID-19).

Methods

This is a post-hoc analysis in hospitalized patients with moderate to severe COVID-19. The participants were categorized: (1) non-oxygen therapy (moderate COVID-19 not requiring oxygen therapy); (2) nasal cannula therapy (severe COVID-19 requiring nasal cannula oxygen therapy); and (3) high-flow therapy (severe COVID-19 requiring high-flow oxygen therapy). PNI was calculated for each patient according to the following equation: serum albumin [g/dL] × 10 + total lymphocyte count [per mm³] × 0.005. The participants were categorized into malnutrition (PNI <40), mild malnutrition (PNI 40-45), and non-malnutrition (PNI > 45).

Results

According to PNI, malnutrition was more prevalent in the high-flow therapy group (94.9%; P < 0.001) with significantly lower PNI compared to both groups even after adjusting for the center and C-reactive protein. Patients in the high-flow therapy group [9 days (95% CI 7.2, 10.7), P < 0.001] and malnutrition status [7 days (95% CI 6.6, 7.4), P = 0.016] showed a significant longer hospital length of stay compared to their counterparts. The multivariable Cox proportional hazard models showed significant associations between both oxygen therapy requirement and PNI categories and hospital discharge.

Conclusion

In addition to oxygen therapy requirement, low PNI was associated with longer hospital length of stay. Our findings suggest that PNI could be useful in the assessment of nutritional status related to the prognosis of patients with moderate to severe COVID-19.