Evidence map›Paper›PMID 34353669›Full record

ArticleClinical nutrition (Edinburgh, Scotland)2022

Nutritional parameters associated with prognosis in non-critically ill hospitalized COVID-19 patients: The NUTRI-COVID19 study.

Riccardo Caccialanza, Elena Formisano, Catherine Klersy, Virginia Ferretti, Alessandra Ferrari, Stefania Demontis, Annalisa Mascheroni, Sara Masi, Silvia Crotti, Federica Lobascio and 10 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Clinical nutrition (Edinburgh, Scotland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Association of body mass index with COVID-19 related in-hospital death.Clinical nutrition (Edinburgh, Scotland) · 2022
    Article
  9. Impact of malnutrition on clinical outcomes in patients diagnosed with COVID-19.JPEN. Journal of parenteral and enteral nutrition · 2022
    Article
  10. Observational
  11. Nutrition risk assessed by Nutritional Risk Screening 2002 is associated with in-hospital mortality in older patients with COVID-19.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2022
    Article
  12. Article
  13. Review
  14. Observational
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 10 institutions in 1 country.

Riccardo CaccialanzaClinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. Electronic address: r.caccialanza@smatteo.pv.it.
Elena FormisanoClinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Catherine KlersyBiometry and Clinical Epidemiology Service, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Virginia FerrettiBiometry and Clinical Epidemiology Service, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Alessandra FerrariMedical Oncology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Stefania DemontisNutritional Unit, Giovanni Borea Civil Hospital, Sanremo, Italy.
Annalisa MascheroniClinical Nutrition and Dietetics Unit - ASST Melegnano e Martesana, Melegnano (Milano), Italy.
Sara MasiClinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Silvia CrottiClinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Federica LobascioClinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Nadia CeruttiMedicine and Dietetics Unit, ASST Pavia, Pavia, Italy.
Paolo OrlandoniClinical Nutrition Unit - IRCCS-INRCA, Ancona, Italy.
Cloè Dalla CostaClinical Nutrition Unit, Michele e Pietro Ferrero Hospital, Verduno (Cuneo), Italy.
Elena RedaelliUOSD Endocrinology and Clinical Nutrition ASST Lecco, Lecco Hospital, Lecco, Italy.
Alessandra FabbriArtificial Nutrition Interprofessional Group, Local Health Unit-IRCCS of Reggio Emilia, Reggio Emilia, Italy.
Alberto MalesciDivision of Gastroenterology and Digestive Endoscopy, Department of Gastroenterology, Humanitas Research Hospital, Rozzano, Milano, Italy.
Salvatore CorraoDepartment of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Italy; COVID Unit, Department of Internal Medicine, National Relevance and High Specialization Hospital Trust ARNAS Civico, Di Cristina, Benfratelli, Palermo, Italy.
Lorella BordandiniClinical Nutrition and Dietetic Unit, Department of Internal Medicine, AUSL Della Romagna, S.Maria Delle Croci Hospital, Ravenna, Italy.
Emanuele CeredaClinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
NUTRI-COVID19 Collaborative Working Group
Policlinico San Matteo Fondazione · ITAlessandro Manzoni Hospital · ITAnsaldo (Italy) · ITASST Melegnano e della Martesana · ITAzienda Sanitaria Unità Locale di Reggio Emilia · ITAzienda Unità Sanitaria Locale Della Romagna · ITIRCCS Humanitas Research Hospital · ITOspedale San Pietro Fatebenefratelli · ITUniversity of Pavia · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsTo investigate the association between the parameters used in nutritional screening assessment (body mass index [BMI], unintentional weight loss [WL] and reduced food intake) and clinical outcomes in non-critically ill, hospitalized coronavirus disease 2019 (COVID-19) patients.

methodsThis was a prospective multicenter real-life study carried out during the first pandemic wave in 11 Italian Hospitals. In total, 1391 patients were included. The primary end-point was a composite of in-hospital mortality or admission to ICU, whichever came first. The key secondary end-point was in-hospital mortality.

resultsMultivariable models were based on 1183 patients with complete data. Reduced self-reported food intake before hospitalization and/or expected by physicians in the next days since admission was found to have a negative prognostic impact for both the primary and secondary end-point (P < .001 for both). No association with BMI and WL was observed. Other predictors of outcomes were age and presence of multiple comorbidities. A significant interaction between obesity and multi-morbidity (≥2) was detected. Obesity was found to be a risk factor for composite end-point (HR = 1.36 [95%CI, 1.03-1.80]; P = .031) and a protective factor against in-hospital mortality (HR = 0.32 [95%CI, 0.20-0.51]; P < .001) in patients with and without multiple comorbidities, respectively. Secondary analysis (patients, N = 829), further adjusted for high C-reactive protein (>21 mg/dL) and LDH (>430 mU/mL) levels yielded consistent findings.

conclusionsReduced self-reported food intake before hospitalization and/or expected by physicians in the next days since admission was associated with negative clinical outcomes in non-critically ill, hospitalized COVID-19 patients. This simple and easily obtainable parameter may be useful to identify patients at highest risk of poor prognosis, who may benefit from prompt nutritional support. The presence of comorbidities could be the key factor, which may determine the protective or harmful role of a high body mass index in COVID-19.

Indexed as

COVID-19HospitalizationHumansNutritional StatusNutrition AssessmentObesityPrognosisProspective StudiesCoronavirus disease 2019Food intakeMalnutritionMortalityNutritional riskObesity

Identifiers

PMID34353669
PMCPMC8233046
OpenAlexW3175849451

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.