| Literature DB >> 35276795 |
Marialaura Scarcella1, Emidio Scarpellini2,3, Alessandra Ascani4, Rita Commissari4, Claudia Scorcella5, Michela Zanetti6, Amilcare Parisi7, Riccardo Monti8, Natasa Milic9, Abele Donati10, Francesco Luzza11, Edoardo De Robertis12, Ludovico Abenavoli11.
Abstract
The novel SARS-CoV-2 virus has led to a severe pandemic, starting from early 2020. Intensive care (ICU) management of the COVID-19 disease is difficult with high morbidity and mortality. Early nutritional support, especially with whey protein, seems to be crucial in this medical case. Thus, we aimed to assess the effects of an adequate nutritional protocol rich in whey protein on nutritional and inflammatory status, extubating time, and mortality of critically ill COVID-19 patients (CICP).Entities:
Keywords: C-reactive protein; extubating time; inflammation; pre-albumin; whey proteins
Mesh:
Substances:
Year: 2022 PMID: 35276795 PMCID: PMC8839228 DOI: 10.3390/nu14030437
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Characteristics of the study population and outcome.
| Patients (n) | Age (years) | SAPS II | IC (mRee, kcal/kg/d) | Mortality | |
|---|---|---|---|---|---|
| All patients | 32 | 68.0 ± 12.5 | 57.3 ± 12.0 | 21.3 ± 1.0 | 31.3% |
| Non survivors | 10 | 77.7 ± 8.7 * | 69.9 ± 7.9 ** | 25.4 ± 1.2 | NA |
| Survivors | 22 | 63.5 ± 11.5 | 51.5 ± 8.8 | 22.1 ± 1.1 | NA |
| <0.05 | <0.05 | NS | NA |
Table legend: *, **: both p < 0.05; NA: non-applicable; NS: non-significant; IC: indirect calorimetry. Non-survivors were significantly older than survivors and had a worse SAPS II score (severity of illness) (* and **, both p < 0.05). Indirect calorimetry data showed no statistical difference in metabolism of surviors vs. non-survivors (p = NS).
Figure 1Mean serum pre-albumin levels trend of survivors and non-survivors during days of ICU stay (p < 0.05).
Figure 2CRP trend during ICU stay of survivors and non-survivors (p = NS) during days of ICU stay. NS: not significant.
Figure 3Percentage of patients reaching different serum pre-albumin concentration thresholds. All patients’ data are presented firstly, and then data on non-survivors and survivors. There was not statistical difference between percentages of patients reaching different PT (p = NS). A significantly lower percentage of non-survivors was able to reach the considered pre-albumin thresholds vs. survivors (*, **, ***, all p < 0.05). This was not observed in non-survivors’ group (p = NS).
Figure 4Extubation time and pre-albumin value of survivors and non-survivors during the days of ICU stay: Patients are represented in ascending order of extubation time (for survivors) and in descending order of survival time (for non-survivors). For each patient the last pre-albumin value available before the event (extubation or exitus) is represented. A decreasing trend is observed in pre-albumin level of extubated patients (high levels of pre-albumin—reduced extubation time), while for deceased patients the trend is more fluctuating.
Figure 5Comparison of survival of patients who reached and maintained the pre-albumin threshold (in green) and patients failing to reach and maintain it (in red). The patients who were able to reach and maintain the serum pre-albumin level threshold > 10 mg/dL showed a greater ICU survival (Log-rank test, p < 0.00001).
Figure 6Association between SAPS II score and time to reach protein target (PT).
Figure 7Extubation time related to different PT thresholds. There was a significant correlation between time to reach PT and extubation time (*, **, both p < 0.05).