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Original Article
ARTICLE IN PRESS
doi:
10.25259/KPJ_59_2025

Nutritional outcome of children hospitalised in the paediatric intensive care unit: A single-centre longitudinal study

Department of Pediatrics, Faculty of Health Sciences, Marien Ngouabi University of Brazzaville, Teaching Hospital Center of Brazzaville, Brazzaville, Congo
Faculty of Health Sciences, Marien Ngouabi University of Brazzaville, Brazzaville, Congo
Department of Pediatrics, Teaching Hospital Center of Brazzaville, Brazzaville, Congo.

*Corresponding author: Aymar Pierre Gldas Oko, Department of Pediatrics, Faculty of Health Sciences, Marien Ngouabi University of Brazzaville, Teaching Hospital Center of Brazzaville, Brazzaville, Congo. aymaroko@yahoo.fr

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Oko AP, Kambourou J, Kiba Ossoba UG, Ngakengni NY, Lombet L, Moyen E, et al. Nutritional outcome of children hospitalised in the paediatric intensive care unit: A single-centre longitudinal study. Karnataka Paediatr J. doi: 10.25259/KPJ_59_2025

Abstract

Objectives:

Hospitalisation in paediatric intensive care units (PICU) is associated with a high nutritional risk. The objective of the study is to study the nutritional outcome of children hospitalised in the PICU and identify risk factors for hospital-acquired undernutrition (HAUN).

Material and Methods:

We conducted a longitudinal analytical study with exhaustive inclusion from February 1 to July 31, 2023 (6 months) in the PICU of the Brazzaville Teaching Hospital Center. The sample size was determined using Schwartz’s formula. The nutritional status of the children was assessed at admission and discharge, and socio-demographic, clinical, dietary and developmental data were analysed. A logistic regression method was used for multivariate analysis.

Results:

Of the 250 children selected, 51.1% were male, with a median age interquartile range of 48 (15–72) months. Nutritional status was stable or improved in 80% of the children, and 18% had developed HAUN. Wasting was the most common type of undernutrition (68.9%), and children who were undernourished on admission were more likely to be affected (42.9% vs. 14%). The risk factors for HAUN were: father unemployed (P = 0.019 ), primary school level (P = 0.04), maternal age between 15 and 25 (P < 0.001), inadequate nutritional intake (P = 0.03), shock (P = 0.001), coma (P = 0.006), severe bronchopulmonary infections (P = 0.01), measles (P < 0.02) and length of hospitalisation >7 days (P < 0.000).

Conclusion:

The extent of HAUN in the PICU and its consequences require the implementation of preventive measures based on the factors identified in this study.

Keywords

Child
Risk factors
Hospital
Paediatric intensive care unit
Undernutrition

INTRODUCTION

A normal nutritional state is a metabolic situation in which there is a balance between needs and intake of proteins, energy, vitamins, minerals, trace elements and water. Children are growing organisms and are particularly vulnerable in terms of nutrition. Any mismatch between nutritional needs and intake can quickly lead to undernutrition, affecting not only growth but also pubertal and cognitive development.[1-3]

Children’s nutritional vulnerability increases during illness and hospitalisation, particularly in intensive care units.[4] Illness, its severity, the environment and certain hospital practices are all factors in nutritional imbalance.[4] There are many causes of undernutrition in hospitalised children. These include reduced food intake and hypercatabolism of fats and proteins, which is linked to stress caused by illness. Thus, hospital undernutrition, which occurs in hospitals, remains a reality in children. When undernutrition in hospital is not treated in time, it hinders recovery, increases morbidity and even mortality and consequently prolongs the length and increases the cost of hospitalisation.[5-7]

The deterioration in the nutritional status of hospitalised children is very often ignored or neglected and remains under-treated because it is insufficiently investigated in clinical practice.[8] Its exact prevalence is difficult to determine due to the absence of standardised diagnostic criteria.[5] It has been estimated at between 6% and 30%.[8,9] In response to the problem of nutritional risk in hospitals and its consequences, screening, prevention and management strategies have been implemented in several units.[9,10]

At the Brazzaville Teaching Hospital Center (BTHC), the issue of nutritional risk in hospitalised children has never been studied. Therefore, we proposed to study the nutritional outcome of children hospitalised in the paediatric intensive care unit (PICU), with the primary objective of investigating their nutritional status, evolution during hospitalisation at the PICU of BTHC and specific objectives to identify risk factors for hospital-acquired undernutrition (HAUN) and to compare the outcomes of children hospitalised in the PICU based on their nutritional status.

MATERIAL AND METHODS

Study design and setting

This was an observational, longitudinal, analytical study, carried out from 1 February to 31 July 2023, i.e., over 6 months. The study took place in the PICU of the BTHC. There are 28 beds with a nurse-to-patient ratio of 1:7. This is the only PICU in Brazzaville, the political capital of the Republic of Congo. It has an estimated population of 2,583,385.

Study population

Target population

The target population was children hospitalised in the PICU of BTHC.

Inclusion criteria

We included all children who had spent at least 72 h in the PICU during the study and whose parents had given their consent to participate in the study.

Exclusion criteria

We excluded:

Children whose parent/nurse was unavailable during the investigator’s visit or refused to respond to the questionnaire.

Children admitted for a condition that could distort the interpretation of anthropometric parameters (nonnutritional oedema and ascites).

Sampling

The sample size was determined using Schwartz’s formula,[11] based on the national undernutrition rate of 12 % reported in 2020. This yielded a minimum required sample of 151 children. Children were exhaustively included.

Data collection

Data were collected using a questionnaire recorded on a standardised, anonymous survey form. Survey data were collected through a face-to-face interview with the child’s parent/nurse, medical records and clinical examination of the child. The same investigator carried out the individual interview with the parents.

Study variables

Dependent variable

The dependent variable was the nutritional outcome, which refers to changes in the child’s nutritional status between admission and discharge from the PICU.

Independent variables

Age, sex, parents’ education level, profession and marital status, socio-economic level, pathological history, diet before and during hospitalisation (the quantity of food consumed was assessed using the ‘Fleur alimentaire’ tool),[12] clinical signs, anthropometric parameters (weight, height, head circumference) at admission and discharge measured according to the World Health Organization (WHO) recommendations (2006),[13] nutritional status at admission and discharge assessed using the following anthropometric indices: Weight-for-age (W/A), height-for-age (H/A), weight-for-height (W/H) and body mass index for age (BMI/A), the evolution in the ward.

Definitions of concepts

Interpretation of anthropometric indicators according to the WHO standards.[13]

  • W/A ratio was used to identify children with:

    • Normal weight: W/A between −2 and 2 Z-score

    • Underweight: W/A below −2 Z-score

    • Severely underweight: W/A below −3 Z-score.

  • H/A ratio:

    • Normal height: H/A between −2 and 2 Z-score

    • Stunted: H/A below −2 Z-score

    • Severely stunted: H/A below −3 Z-score.

  • W/H ratio:

    • Normal W/H or eutrophic W/H between −2 and 1 Z-score

    • Wasted: W/H below −2 Z-score

    • Severely wasted: W/H below −3 Z-score

    • Risk of overweight: W/H above 1 Z-score

    • Overweight: W/H above 2 Z-score

    • Obese: W/H above 3 Z-score.

BMI corresponds to the ratio of weight measured in kilograms to height squared in meters. In Z-scores, the interpretation is identical to that of W/H.

  • Acute malnutrition: Wasting.

  • Severe acute malnutrition: Severe wasting and/or presence of oedema.

  • Chronic malnutrition: Stunted growth.

  • Severe chronic malnutrition: Severely stunting.

  • HAUN was defined by the occurrence, during hospitalisation, of acute or chronic undernutrition in a eutrophic child or a weight loss of at least 5% or the appearance of nutritional oedema in an already undernourished child.

  • Socio-economic status was determined according to the socio-economic status scale established by the National Centre for Statistics and Economic Studies (CNSEE) of the Ministry of Economy, Planning, Regional Development and Integration in Congo, which distinguishes three levels:

    • High: When resources come from a senior manager or trader.

    • Medium: When resources come from a middle manager or agent in the informal sector.

    • Low: When resources come from a worker or unemployed parents.

Data analysis

The collected data were entered into Excel (Microsoft Office 2016) and analysed using Epi Info version 7.4.1. Qualitative variables were presented as frequencies and percentages. Quantitative variables were expressed as means with standard deviations for Gaussian variables, and medians with interquartile ranges (IQRs) for non-Gaussian variables. Initially, binary logistic regression analysis was performed, with the Chi-square test and odds ratios used to compare variables. Multivariate logistic regression was then conducted to control for potential confounders. Variables with a P < 0.25 in the binary logistic regression were included in the multivariate analysis. A P < 0.05 was considered statistically significant, and a 95% confidence interval was applied.

RESULTS

A total of 250 children were included in this study.

Socio-demographic characteristics

The maternal mean age was 29 ± 6 years (extremes: 15 and 47 years), while the paternal mean age was 36 ± 8 years (extremes: 18 and 62 years).

The median age (IQR) of the children was 48 (15–72) months, with 137 (54.8%) boys and 113 (45.2%) girls.

The children came from households with a low socioeconomic status in 43.2% of cases, a middle socio-economic status in 46.4% and a high socio-economic status in 10.4%.

Nutritional status of children at admission

The mean weight was 11.8 ± 7.6 kg (extremes: 2 and 37 kg), the mean height was 88.6 ± 28 cm (extremes: 43 and 165 cm), and the mean BMI was 13.5 ± 2 kg/m2 (extremes: 9 and 21 kg/m2).

Thirteen children (5.2%) had oedema at admission. The distribution of children by nutritional status at admission is shown in Table 1.

Table 1: Distribution of the study population according to nutritional status at admission.
Anthropometric indicators Effective (n=250) Percentage
Weight/age
  Normal 217 86.8
  Underweight 24 9.6
  Severely underweight 9 3.6
Height/âge
  Normal 206 82.4
  Stunted 32 12.8
  Severely stunted 12 4.8
Weight/height
  Normal 209 83.6
  Wasted 24 9.6
  Severely wasted 11 4.4
  Risk of overweight 1 1.2
  Overweight 3 0.8
  Obese 2 0.4

Assessment of feeding during hospitalisation

In all cases, food was provided by the parents, who also took care of the children’s nutrition, except for severely malnourished children and those fed through parenteral nutrition (2.8%), who were fed according to the unit’s protocols.

Feeding methods of hospitalised children

Of the 250 children, 224 (89.6%) were fed orally, 19 (7.6%) through enteral feeding and 7 (2.8%) through parenteral feeding.

Quality and quantity of food consumed during hospitalisation

Nutritional intake was deemed sufficient for 52.8% of children and insufficient for 47.2%.

Nutritional outcome

Children’s height remained stable during the study. However, W/A and W/H ratios changed.

The evolution of W/A and W/H between admission and discharge is shown in Figures 1 and 2.

Evolution of the weight-age ratio of children between admission and discharge.
Figure 1:
Evolution of the weight-age ratio of children between admission and discharge.
Evolution of the weight for height ratio between admission and discharge.
Figure 2:
Evolution of the weight for height ratio between admission and discharge.

During hospitalisation, the nutritional status remained stable for 199 (79.6%) children, improved for 6 children and 45 (18%) developed acute malnutrition (80% were under 5 years old, and 51.1% were male). HAUN affected 42.3% of children who were already malnourished at admission compared to 14% of others. The types of malnutrition occurring in the hospital included: Wasting (68.9%), severe wasting (17.8%), malnutrition with oedema (6.7%) and wasting with oedema (6.7%).

Factors associated with HAUN

The factors associated with HAUN are shown in Table 2.

Table 2: Factors associated with hospital-acquired undernutrition in multivariate analysis.
Variables Nutritional outcome Odds ratio 95% confidence interval value
HAUN* Others
Father in the informal sector 17 113 0.5 0.2–0.9 0.034+
Unemployed father 16 40 2.2 1.1–4.6 0.019**
Primary education level of fathers 17 47 2.04 1.02–4.04 0.04**
Ages of mother (year)
  15–25 23 49 3.3 1.7–6.4 <0.001**
  31–40 6 72 0.3 0.1–0.8 0.011+
Meal quality not suitable 28 90 2.1 1.1–4.1 0.03**
Length of hospitalisation >7 21 33 4.7 2.3–9.1 <0.001**
Shock 5 3 8.4 1.9–36.6 0.001**
Coma 6 7 4.3 1.3–13.6 0.006**
Severe bronchopneumopathy 40 110 6.9 2.6–18.2 <0.001**
Measles 4 4 4.9 1.2–20.4 0.02**
HAUN: Hospitalacquired undernutrition, **Risk factors with of HAUN,+: Protective factors against HAUN

Outcome

In our study, 199 (79.6%) children had a favourable outcome, and 51 (20.4%) died. Of the children who died, 41 (80.4%) had developed HAUN (P < 0.001).

DISCUSSION

This study is one of the few in Africa and the first at the local level dedicated to evaluating nutritional status in a paediatric ward.[14] Most previous studies have been limited to assessing nutritional status upon admission, thereby avoiding the issue of HAUN and its impact on morbidity and mortality.[15,16] In this study, the nutritional status during hospitalisation remained stable or improved for the majority (82%) of children, while 18% developed HAUN. The prevalence of HAUN in this study was comparable to the 19.56% reported by Campanozzi et al. in Italy but lower than the rates observed by Saengnipanthkul et al. in Thailand and Pichler et al. in the UK, which were 24% and 32%, respectively.[17,19] The differences in these studies, in terms of tools for assessing nutritional status, definitions of HAUN and patient profiles, explain these divergent results and make it difficult to compare data. Nevertheless, all these studies highlight that the prevalence of HAUN is high regardless of the country’s level of development or the methods used for evaluation. Wasting was the most observed type of undernutrition (68.9%). No cases of chronic undernutrition were observed because the children had not been in the hospital long enough for the H/A ratio to vary.

The prevalence of HAUN varied according to initial nutritional status, being higher in children already malnourished at admission (42.9% vs. 14%). Campanozzi et al. made the same observation.[17]

In this study, nutritional management was primarily the responsibility of the parents. They had not received any tip from a dietician, except in the case of severe malnutrition. This situation could account for the high number of children with inadequate nutritional intake (47.2%) and for the high prevalence of HAUN. These results raise the issue of the organisation of nutritional care in the PICU and, more generally, of nutritional care policy at the BTHC. In Europe, the Nutrition Committee of the European Society of Paediatric Gastroenterology, Hepatology and Nutrition recommended in 2005 that nutritional support teams be established in paediatric units, in response to the growing prevalence of malnutrition and the significant gaps in nutritional care in hospitals.[10] Deme/Ly et al. in Senegal have reported the benefits of having a nutritional recovery and education centre within the hospital for nutritional outcomes.[14] The benefits of early and appropriate nutritional intervention for the nutritional outcomes of hospitalised children have also been documented by other authors.[19,20]

Many factors influencing the nutritional status of hospitalised children have been described in the literature. However, most of these factors identified in Western countries are not necessarily applicable to our context.[4,17] Therefore, it was crucial to identify factors that correspond to our reality. In this study, the identified risk factors for HAUN were: an unemployed father and primary-level education, maternal age between 15 and 25 years, insufficient nutritional intake, hospitalisation duration of more than 7 days, severe conditions (shock, coma, respiratory distress), and certain pathologies (severe bronchopneumonia, measles). Campanozzi identified the following risk factors: age under 24 months, hospital stay longer than 5 days, fever and nocturnal abdominal pain.[17]

Hubert et al. found dyspnoea to be the only risk factor.[21] Families where the father is unemployed often face financial hardship, as the father is usually the family’s primary provider. These families often struggle to provide their hospitalised children with regular and sufficient nutritional intake.

Regarding the fathers’ low education level and young mothers (15–25 years), financial difficulties often accompany their status, compounded by a lack of knowledge about children’s nutritional needs. However, some researchers suggest that the mother’s education level, rather than the father’s, correlates more with the child’s nutritional status.[22] Many researchers have cited prolonged hospitalisation as a risk factor for malnutrition. Hospitalisation is a condition conducive to malnutrition, primarily due to illness-related factors but also the hospital environment, which does not always allow for optimal nutritional intake.[7,17,23] In this study, hospitalisation lasting more than 7 days increased the risk of malnutrition fivefold. For Campanozzi et al., the risk of undernutrition appeared after 5 days of hospitalisation and 4 days for Hetch et al.[17,23] The link between undernutrition and prolonged hospitalisation constitutes a veritable vicious cycle. Hospital undernutrition also has an impact on the length of hospital stay.[7]

In the present study, severe conditions such as shock, coma, severe bronchopneumonia and measles favoured the onset of undernutrition in the PICU. Due to their severity, these pathologies often lead to prolonged cessation of oral feeding, without any real relevant scientific evidence; in addition, they are sources of major inflammation and energy loss. All these factors combined contribute to the onset of undernutrition if optimal nutritional support by alternative means (enteral or parenteral nutrition) is not provided.

Undernutrition is an important prognostic factor. In our study, undernourished children died more often than others (P < 0.0001). Deme/Ly et al. found a 4 times higher risk of death in malnourished children.[14] Malnourished children are often exposed to multiple serious complications and have a low capacity for resistance to disease, which explains their higher mortality rate.

Limitations

This study of the nutritional outcome of children hospitalised in the PICU at BTHC encountered certain challenges, the most significant being the absence of a dietician and the necessary material resources to assess the quantity of food consumed by the children at each meal. To address this issue, we, like other researchers, utilised a simple, validated tool called the ‘Fleur alimentaire’, which enables accurate assessment of food intake.[12]

CONCLUSION

Most children hospitalised in the PICU maintained their nutritional status on discharge. However, the prevalence of HAUN was significant (18%), predominantly manifested by wasting. Nutritional care was not integrated into the medical care and was left to the parents. HAUN increases both mortality rates and prolongs hospital stay. Contributing factors to its occurrence include paternal unemployment, low paternal level of education, maternal age between 15 and 25 years, inadequate meal quality, hospitalisation stay of more than 7 days, shock, coma, severe bronchopneumonia and measles.

The extent of HAUN in the PICU and its consequences require the establishment of a nutritional support team, including dieticians, the development of a nutritional care protocol adapted to the local context, and the implementation of preventive measures based on the factors identified in this study.

Ethical approval

The research/study was approved by the Institutional Review Board at the Health Sciences Research Ethics Committee, number 109-24/MESRSIT/DGRSTCERSSA/-24, dated 08th January 2024.

Declaration of patients consent

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript, and no images were manipulated using AI.

Financial support and sponsorship: Nil.

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