Risk of Malnutrition in Hospitalized COVID-19 Patients: A Systematic Review and Meta-Analysis

Nutrients, Journal Year: 2022, Volume and Issue: 14(24), P. 5267 - 5267

Published: Dec. 10, 2022

(1) Background: Studies have reported that COVID-19 may increase the risk of malnutrition among patients. However, prevalence such in hospitalized patients is uncertain due to inconsistent use assessment methods. (2) Methods: PubMed, Web Science, and EMBASE were searched identify studies on nutritional status A pooled evaluated by Nutrition Risk Score (NRS-2002) was obtained using a random effects model. Differences study-level characteristics examined hospitalization setting, time assessment, age, country. bias assessed Newcastle–Ottawa Scale. (3) Results: 53 from 17 countries identified summarized. total NRS-2002, including 3614 included primary meta-analysis. The significantly higher ICU (92.2%, 95% CI: 85.9% 96.8%) than general ward (70.7%, 56.4% 83.2%) (p = 0.002). No significant differences found between age groups (≥65 vs. <65 years, p 0.306) 0.893). (4) Conclusions: High common concerning with COVID-19, suggesting screening support during are needed.

Language: Английский

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Systematic Review and Meta-Analysis: Malnutrition and In-Hospital Death in Adults Hospitalized with COVID-19

Nutrients, Journal Year: 2023, Volume and Issue: 15(5), P. 1298 - 1298

Published: March 6, 2023

Background: Malnutrition and increased malnutrition risk are frequently identified in hospitalized adults. The increase hospitalization rates during the COVID-19 pandemic was accompanied by documentation of adverse outcomes presence certain co-morbidities, including obesity type 2 diabetes. It not clear whether in-hospital death patients with COVID-19. Objectives: To estimate effect on mortality adults COVID-19; secondarily, to prevalence pandemic. Methods: EMBASE, MEDLINE, PubMed, Google Scholar, Cochrane Collaboration databases were queried using search terms mortality. Studies reviewed 14-question Quality Assessment Tool for Diverse Designs (QATSDD) (questions appropriate quantitative studies). Author names; date publication; country; sample size; prevalence; screening/diagnostic method; number deaths malnourished patients; adequately nourished extracted. Data analyzed MedCalc software v20.210 (Ostend, Belgium). Q I2 tests calculated; a forest plot generated, pooled odds ratio (OR) 95% confidence intervals (95%CI) calculated random effects model. Results: Of 90 studies identified, 12 finally included meta-analysis. In model, or more than three-fold: OR 3.43 (95% CI 2.549–4.60), p < 0.001. 52.61% 29.50–75.14%). Discussion Conclusions: is that an ominous prognostic sign COVID. This meta-analysis, which from nine countries four continents data 354,332 patients, generalizable.

Language: Английский

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

Diagnostics, Journal Year: 2022, Volume and Issue: 12(7), P. 1515 - 1515

Published: June 21, 2022

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

Language: Английский

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The accuracy of estimating equations for total resting energy expenditure in hospitalized patients

Clinical Nutrition ESPEN, Journal Year: 2025, Volume and Issue: 66, P. 505 - 514

Published: Feb. 24, 2025

Methods for estimation of nutritional expenditures hospitalized patients may not be sufficiently specific. This study aimed to investigate the accuracy predictive equations compared indirect calorimetry (IC) and effect certain patient characteristics which might correlate with total daily energy expenditure on a heterogeneous population medical patients. A cross sectional including demographic information, measures bioelectric impedance analysis (BIA) height bodyweight (BW), IC, heart rate from records, information was collected regarding risk by Nutrition Risk Screening 2002, biomarkers C-reactive protein (CRP), albumin leukocytes. The Harris-Benedict (HB), Mifflin St. Jeor (MSJ), Schofield were calculated. Data analyzed using T-test, linear logistic regression analysis. Overall, 197 patients, mean age 63.6 ± 16.0 years measured IC had performed. BIA performed in 187 46 withdrew, as they too ill measure, has oxygen or forgot fasting. All methods underestimate at (p < 0.001), HB MSJ those body mass index (BMI) 18.5 = 0.029 p while BMI≥30 all overestimate but only significantly 0.025). Elevated CRP leukocytes, lower rate, higher BMI, older can affect estimated 0.05). HB, MSJ, variations risk. In BMI≥30, are overestimated. Considerations measure continued weight loss need artificial nutrition, BMI≥30.

Language: Английский

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Impact of Protein-Energy Malnutrition on Outcomes of Patients with Sickle Cell Disease: An Analysis of the National Inpatient Sample

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Background/Objectives Patients with sickle cell disease (SCD) are often malnourished, leading to complications such as increased vaso-occlusive crises, infections, prolonged hospital stays, and decreased quality of life. This study examines the impact protein-energy malnutrition (PEM) on clinical outcomes in hospitalized SCD patients. Methods A retrospective cohort using National Inpatient Sample data (2016–2020). Adult patients were stratified by PEM status. Primary included mortality, length stay, charges. Multivariate regression analyses performed STATA 17. Results Among 771,175 patients, 25.9% (20,030) had PEM. More female (57.3%), was more prevalent males compared those without (42.7% vs. 34.3%, p < 0.001). higher Charlson Comorbidity Index scores (≥ 3: 42.6% 12.8%, associated mortality (aOR 2.66, 0.001), longer stays (9.56 4.79 days, costs ($100,209 $41,412, also raised odds intubation, pressor support, acute kidney injury, sepsis, blood transfusion, pneumonia, urinary tract infections (all Conclusions is worse extended due intensive interventions. Early nutritional consultation may improve patient outcomes.

Language: Английский

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Impact of protein-energy malnutrition on outcomes of patients with sickle cell disease: an analysis of the National inpatient sample

Annals of Hematology, Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Language: Английский

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Toward a Pragmatic Multidisciplinary Management of Nutritional Risk in Hospitalized Patients: Initiatives and Proposals of the Clinical Nutrition Network of Lombardy Region

Nutrients, Journal Year: 2025, Volume and Issue: 17(9), P. 1472 - 1472

Published: April 27, 2025

Malnutrition is a widespread problem in hospitalized patients, which significantly impacts clinical outcomes, quality of life, and healthcare costs. Despite its well-documented consequences, it remains underdiagnosed inadequately managed many settings. Even with recent progress, key challenges remain, including inconsistent use standardized nutritional screening tools practices, insufficient professional training, resource limitations. A multidisciplinary approach involving physicians, dietitians, nurses, pharmacists crucial for early detection, timely intervention, prevention malnutrition-related complications. The sustainability model requires overcoming logistical financial barriers, the integration technology real-time monitoring, protocols, specific training. Regional initiatives, such as establishment Clinical Nutrition Network Lombardy (Italy), reported discussed this article, have made strides improving care by promoting scientific networking practices across hospitals. This may not only improve patient outcomes but also reduce long-term costs shortening hospital stays preventing readmissions. For to be effective sustainable, collaboration among providers, policymakers, researchers essential promote an integrated, cost-effective managing risk throughout continuum care.

Language: Английский

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Prognostic Accuracy of Nutritional Assessment Tools in Critically-Ill COVID-19 Patients

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(10), P. 3382 - 3382

Published: May 13, 2025

Objectives: Critically ill COVID-19 patients are at high risk of malnutrition; however, no study has directly compared the prognostic accuracy different nutritional assessment tools. This aimed to determine optimal cutoff values for Modified Nutrition Risk in Ill (mNUTRIC) score, Nutritional Screening 2002 (NRS 2002), and Malnutrition Universal Tool (MUST) evaluate their predictive value ICU mortality. Method: A retrospective analysis was conducted on with laboratory-confirmed admitted our between 20 March 2020 15 June 2021. Clinical laboratory data, as well patient outcomes, were retrieved from electronic medical records charts. The mNUTRIC, NRS 2002, MUST scores calculated admission. Results: included 397 patients, 273 survivors 124 non-survivors. median age 65 (55–76) years, BMI 26.1 (24.0–29.4). Non-survivors had significantly higher all three tools (mNUTRIC: 5 vs. 3, 2002: 4 MUST: 2 2; p < 0.01). At values, mNUTRIC ≥ demonstrated highest (sensitivity: 0.77, specificity: 0.74; AUC = 0.75, CI 0.70–0.81), followed by 0.63, 0.60; 0.62, 0.56–0.67) 3 0.21, 0.91; 0.56, 0.50–0.68). Higher associated increased disease severity, poorer performance, prolonged hospital stays, elevated ICU, 28-day, overall mortality rates. Among tools, only an score independently (OR 1.54, 1.21–1.96, Conclusions: admission, 4, identified most accurate predictors critically patients. However, independent predictor

Language: Английский

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Strategies to Reduce Hospital Length of Stay: Evidence and Challenges

Medicina, Journal Year: 2025, Volume and Issue: 61(5), P. 922 - 922

Published: May 20, 2025

Hospital length of stay (HLOS) is a critical healthcare metric influencing patient outcomes, resource utilization, and costs. While reducing HLOS can improve hospital efficiency throughput, it also poses risks such as premature discharge, increased readmission rates, potential compromise safety. This literature review synthesizes current evidence on the determinants HLOS, including patient-specific factors demographics, comorbidities, socioeconomic status, well hospital-related like admission route, allocation, institutional policies. We examine relationship between key clinical mortality, healthcare-associated infections. Additionally, we evaluate predictive modeling approaches, artificial intelligence machine learning, for forecasting guiding early intervention strategies. interventions enhanced recovery after surgery (ERAS) protocols, multidisciplinary care teams, structured discharge planning have demonstrated efficacy in their success varies based setting, complexity, availability. Predictive analytics, incorporating non-clinical variables, offer promising avenues improving efficiency, yet may carry related to data quality model bias. Given impact economic targeted models should be applied cautiously, with future research focusing refining personalized strategies addressing disparities across diverse populations.

Language: Английский

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Identifying malnutrition risk in hospitalized patients: an analysis of five tools in the light of GLIM criteria

Postgraduate Medicine, Journal Year: 2024, Volume and Issue: 136(5), P. 504 - 513

Published: May 31, 2024

The prompt identification of malnutrition among hospitalized patients using the appropriate screening tool is paramount. objective our study to compare most recommended tools concerning new GLIM criteria for in patients.

Language: Английский

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