Scores of nutritional risk and parameters of nutritional status assessment as predictors of in-hospital mortality and readmissions in the general hospital population

2016 ◽  
Vol 35 (6) ◽  
pp. 1464-1471 ◽  
Author(s):  
Jacek Budzyński ◽  
Krzysztof Tojek ◽  
Beata Czerniak ◽  
Zbigniew Banaszkiewicz
Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3302
Author(s):  
Michał Czapla ◽  
Raúl Juárez-Vela ◽  
Vicente Gea-Caballero ◽  
Stanisław Zieliński ◽  
Marzena Zielińska

Background: Coronavirus disease 2019 (COVID-19) has become one of the leading causes of death worldwide. The impact of poor nutritional status on increased mortality and prolonged ICU (intensive care unit) stay in critically ill patients is well-documented. This study aims to assess how nutritional status and BMI (body mass index) affected in-hospital mortality in critically ill COVID-19 patients Methods: We conducted a retrospective study and analysed medical records of 286 COVID-19 patients admitted to the intensive care unit of the University Clinical Hospital in Wroclaw (Poland). Results: A total of 286 patients were analysed. In the sample group, 8% of patients who died had a BMI within the normal range, 46% were overweight, and 46% were obese. There was a statistically significantly higher death rate in men (73%) and those with BMIs between 25.0–29.9 (p = 0.011). Nonsurvivors had a statistically significantly higher HF (Heart Failure) rate (p = 0.037) and HT (hypertension) rate (p < 0.001). Furthermore, nonsurvivors were statistically significantly older (p < 0.001). The risk of death was higher in overweight patients (HR = 2.13; p = 0.038). Mortality was influenced by higher scores in parameters such as age (HR = 1.03; p = 0.001), NRS2002 (nutritional risk score, HR = 1.18; p = 0.019), PCT (procalcitonin, HR = 1.10; p < 0.001) and potassium level (HR = 1.40; p = 0.023). Conclusions: Being overweight in critically ill COVID-19 patients requiring invasive mechanical ventilation increases their risk of death significantly. Additional factors indicating a higher risk of death include the patient’s age, high PCT, potassium levels, and NRS ≥ 3 measured at the time of admission to the ICU.


2014 ◽  
Vol 23 (6) ◽  
pp. 1495-1502 ◽  
Author(s):  
Helena Orell-Kotikangas ◽  
Pia Österlund ◽  
Kauko Saarilahti ◽  
Paula Ravasco ◽  
Ursula Schwab ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Feier Song ◽  
Huan Ma ◽  
Shouhong Wang ◽  
Tiehe Qin ◽  
Qing Xu ◽  
...  

Abstract Background Could nutritional status serve as prognostic factors for coronavirus disease 2019 (COVID-19)? The present study evaluated the clinical and nutritional characteristics of COVID-19 patients and explored the relationship between risk for malnutrition at admission and in-hospital mortality. Methods A retrospective, observational study was conducted in two hospitals in Hubei, China. Confirmed cases of COVID-19 were typed as mild/moderate, severe, or critically ill. Clinical data and in-hospital death were collected. The risk for malnutrition was assessed using the geriatric nutritional risk index (GNRI), the prognostic nutritional index (PNI), and the Controlling Nutritional Status (CONUT) via objective parameters at admission. Results Two hundred ninety-five patients were enrolled, including 66 severe patients and 41 critically ill patients. Twenty-five deaths were observed, making 8.47% in the whole population and 37.88% in the critically ill subgroup. Patients had significant differences in nutrition-related parameters and inflammatory biomarkers among three types of disease severity. Patients with lower GNRI and PNI, as well as higher CONUT scores, had a higher risk of in-hospital mortality. The receiver operating characteristic curves demonstrated the good prognostic implication of GNRI and CONUT score. The multivariate logistic regression showed that baseline nutritional status, assessed by GNRI, PNI, or CONUT score, was a prognostic indicator for in-hospital mortality. Conclusions Despite variant screening tools, poor nutritional status was associated with in-hospital death in patients infected with COVID-19. This study highlighted the importance of nutritional screening at admission and the new insight of nutritional monitoring or therapy.


2014 ◽  
Vol 04 (03) ◽  
pp. 033-037
Author(s):  
Bincy R. ◽  
Beena Chacko

Abstract Background: Cancer treatment itself and particularly chemotherapy seems to be an important nutritional risk factor. Early nutritional assessment can identify problems to help patients increase or maintain weight, improve their response to treatment, and reduce complications.This study aimed to determine the nutritional status of patients receiving chemotherapy. Methods: A prospective study was conducted among 30 subjects between 30 and 70 years of age diagnosed with cancer of various sites and scheduled for first cycle of chemotherapy. Nutritional status of each subject was assessed based on nutritional parameters i.e. Anthropometric [BMI (body mass index), MAMC (mid-arm muscle circumference), TSF (triceps skinfold thickness)], MAC (mid-arm circumference) and Biochemical [(Hb and Albumin)] measurements before the initiation of chemotherapy, and follow-up assessment was performed on the third week after the first cycle of chemotherapy. Results: In this study it has been found that 90% of subjects suffered from weight loss after the first cycle of chemotherapy (3wks post treatment). The't' test showed a significant decrease in TSF [t=5.4(p0.01)] and MAC [t=6.86 (p<0.01)] before and after 3 weeks of chemotherapy. The't' test showed a decrease in MAMC, t=5.83(p<0.01) before and after 3 weeks of chemotherapy. The mean serum Albumin level of the patients before and after 3weeks of chemotherapy was 3.16±.50 g/dl and 3.07±.49 g/dl respectively. A significant decrease in albumin [t=4.17 at p<0.01 level] was observed in patients after chemotherapy. The mean haemoglobin level of the patients before and after 3weeks of chemotherapy was10.64±1.88 g/dl and10.41 ± 1.89 g/dl respectively, which showed a significant decrease [(t=13.32 at p<0.01 level)]. Conclusion: The nutritional status assessment must be carried out on each patient at the beginning and during the treatment. The cancer patients who are receiving chemotherapy are at risk of malnutrition.


Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1669
Author(s):  
Michał Czapla ◽  
Raúl Juárez-Vela ◽  
Katarzyna Łokieć ◽  
Piotr Karniej

Background: A nutritional status is related to the prognosis and length of hospitalisation of patients with heart failure (HF). This study aims to assess the effect of nutritional status on in-hospital mortality in patients with heart failure. Methods: We conducted a retrospective study and analysis of medical records of 1056 patients admitted to the cardiology department of the University Clinical Hospital in Wroclaw (Poland). Results: A total of 1056 individuals were included in the analysis. A total of 5.5% of patients died during an in-hospital stay. It was found that in the sample group, 25% of patients who died had a BMI (body mass index) within the normal range, 6% were underweight, 47% were overweight, and 22% were obese. Our results show that non-survivors have a significantly higher nutrition risk screening (NRS) ≥3 (21% vs. 3%; p < 0.001); NYHA (New York Heart Association) grade 4 (70% vs. 24%; p < 0.001). The risk of death was lower in obese patients (HR = 0.51; p = 0.028) and those with LDL (low-density lipoprotein) levels from 116 to <190 mg/dL (HR = 0.10; p = 0.009, compared to those with LDL <55 mg/dL). The risk of death was higher in those with NRS (nutritional risk score) score ≥3 (HR = 2.31; p = 0.014), HFmrEF fraction (HR = 4.69; p < 0.001), and LDL levels > 190 mg/dL (HR = 3.20; p = 0.038). Conclusion: The malnutrition status correlates with an increased risk of death during hospitalisation. Higher TC (total cholesterol) level were related to a lower risk of death, which may indicate the “lipid paradox”. Higher BMI results were related to a lower risk of death, which may indicate the “obesity paradox”.


2020 ◽  
Author(s):  
Feier Song ◽  
Huan Ma ◽  
Shouhong Wang ◽  
Tiehe Qin ◽  
Qing Xu ◽  
...  

Abstract Background: Could nutritional status serve as prognostic factors for coronavirus disease 2019 (COVID-19)? The present study evaluated the clinical and nutritional characteristics of COVID-19 patients and explored the relationship between nutritional risk at admission and in-hospital mortality.Methods: A retrospective, observational study was conducted in two hospitals in Hubei, China. Confirmed cases of COVID-19 were typed as mild/moderate, severe, or critically ill. Clinical data and in-hospital death were collected. Nutritional risk was assessed using the Geriatric Nutritional Risk Index (GNRI), the Prognostic Nutritional Index (PNI), and the Controlling Nutritional Status (CONUT) via objective parameters at admission.Results: 295 patients were enrolled, including 66 severe patients and 41 critically ill patients. 25 deaths were observed, making 8.47% in the whole population and 37.88% in the critically ill subgroup. Patients had significant differences in nutrition-related parameters and inflammatory biomarkers among three types of disease severity. Patients with lower GNRI and PNI score, as well as higher CONUT, had a higher risk of in-hospital mortality. The receiver operating characteristic curves demonstrated the good prognostic implication of GNRI and CONUT score. The multivariate logistic regression showed that baseline nutritional status, assessed by GNRI, PNI, or CONUT score, was a prognostic indicator for in-hospital mortality.Conclusions: Despite variant assessment tools, poor nutritional status was associated with in-hospital death in patients infected with COVID-19. This study highlighted the importance of nutritional screening at admission and the new insight of nutritional monitoring or therapy.


2021 ◽  
pp. 019459982110045
Author(s):  
Nicolas Saroul ◽  
Mathilde Puechmaille ◽  
Céline Lambert ◽  
Achraf Sayed Hassan ◽  
Julian Biau ◽  
...  

Objectives To determine the importance of nutritional status, social status, and inflammatory status in the prognosis of head and neck cancer. Study Design Single-center retrospective study of prospectively collected data. Setting Tertiary referral center. Methods Ninety-two consecutive patients newly diagnosed for cancer of the upper aerodigestive tract without metastases were assessed at time of diagnosis for several prognostic factors. Nutritional status was assessed by the nutritional risk index, social status by the EPICES score, and inflammatory status by the systemic inflammatory response index. The primary endpoint was overall survival. Results In multivariable analysis, the main prognostic factors were the TNM classification (hazard ratio [HR] = 3.34, P = .002, for stage T3-4), malnutrition as assessed by the nutritional risk index (HR = 3.64, P = .008, for severe malnutrition), and a systemic inflammatory response index score ≥1.6 (HR = 3.32, P = .02). Social deprivation was not a prognostic factor. Conclusion Prognosis in head and neck cancer is multifactorial; however, malnutrition and inflammation are important factors that are potentially reversible by early intervention.


2019 ◽  
Vol 3 (3) ◽  
Author(s):  
David Franli ◽  
Makmur Sitepu ◽  
Hotma Partogi Pasaribu ◽  
Sake Juli Martina

Introduction. Chronic energy deficieny (CED) is a condition of a body characterized by low body weight and low energy stores, possibly limited physical capacity due to deprivation of food over a long period time. Ministry of Health ( Kemenkes) showed that in 2015, 305 out of 100.000 death of pregnant women is realated to malnutriotion and CED. Objective. The aim of this study is to determine the overview of pregnant women nutritional status based on mid-upper arm circumference (MUAC) in Sundari Medan General Hospital. Method. The study was an observational descriptive study with a cross sectional design. The samples of this study consists of pregnant women from Sundari Medan Genaral Hospital, who had fulilled the inclusion and esclusion criteria by total sampling. Results.. Among 60 samples, the prevalance of Non-CED woman (85%) was found higher than the mild malnutrition (15%). Conclusion. Prevalance of CED pregnant women was found higher in risky age, middle educated and high income family.  


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