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| Name | Class |
|---|---|
| School of Pharmaceutical Sciences, Peking University, Beijing, China | UNKNOWN |
| Department of Medicine, Queen's University, Kingston, Ontario, Canada | UNKNOWN |
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There was an interaction between mortality, nutritional intake and the Nutrition Risk in Critically ill (NUTRIC) score suggesting that those with higher NUTRIC scores benefited the most from increasing nutritional intake. Yet limited data were in Chinese patients. The current outbreak of novel coronavirus, named COVID-19, was first reported from Wuhan, China on Dec ember 31 , 2019. There are about 16% patients need ICU admission. The objective of this study is to validation of the "NUTRIC" nutritional risk assessment tool in Chinese ICU patients diagnosed as COVID-19.
Heyland et al. previously proposed a novel scoring tool, the Nutrition Risk in Critically ill (NUTRIC) score, which is the first nutritional risk assessment tool developed and validated specifically for intensive care unit (ICU) patients. Many other risk scores and assessment tools exist to quantify nutrition risk but none have been specifically designed for ICU patients. Indeed, they generally consider all critically ill patients to be at high nutritional risk. However, the recognition that not all ICU patients will respond the same to nutritional interventions was the critical concept behind the NUTRIC score. There was an interaction between mortality, nutritional intake and NUTRIC score suggesting that those with higher NUTRIC scores benefited the most from increasing nutritional intake. However, the inferences about the validity of the NUTRIC score are limited in Chinese patients because of no data.
The current outbreak of novel coronavirus was first reported from Wuhan, China on Dec ember 31 , 2019 . This virus was named as 2019 nCoV by World Health Organization ( on Jan uary 12 , 2020). Following the advice of the Emergency Committee, the WHO declared the outbreak of 2019 nCoV a Public Health Emergency of International Concern . Patients show fever and / or respiratory symptoms, with the imaging characteristics of pneumonia, and other symptoms include hemoptysis muscle pain, headache, confusion, chest pain, and diarrhea. About 16% patients need ICU admission.
The objective of this study is to validation of the "NUTRIC" nutritional risk assessment tool in Chinese ICU patients diagnosed as COVID-19. This is a single-center, prospective cohort study of ICU patients with COVID-19. Data for all variables of the NUTRIC score will be collected. These include age, APACHE II score, SOFA score, number of co-morbidities, days from hospital admission to ICU admission. A logistic model including the NUTRIC score, the nutritional adequacy and their interaction will be estimated to assess if the NUTRIC score modified the association between nutritional adequacy and 28-day mortality.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort 1 | High NUTRIC score |
| |
| Cohort 2 | low NUTRIC score |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Nutrition support | Other | Calories and proteins are given to patients by using ways as parenteral nutriton, enteral nutrition, oral nutrition supplement |
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| Measure | Description | Time Frame |
|---|---|---|
| 28-day all cause mortality | from admission to 28-day/discharge, an average of length of ICU stay is 28-day |
| Measure | Description | Time Frame |
|---|---|---|
| All cause infection | from admission to 28-day/discharge, an average of length of ICU stay is 28-day | |
| The rate of complications | from admission to 28-day/discharge, an average of length of ICU stay is 28-day |
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Inclusion Criteria:
Exclusion Criteria:
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The adult patients with 2019 coronavirus disease (COVID-19) admitted to ICU, Peking University Third Hopital from Feb 2020 to May 2020 will be involved in this study
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Peking University Third Hospital | Beijing | China |
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| Length of ICU stay | from admission to 28-day/discharge, an average of length of ICU stay is 28-day |
| Duration of mechanical ventilation | from admission to 28-day/discharge, an average of length of ICU stay is 28-day |
| ID | Term |
|---|---|
| D016638 | Critical Illness |
| D018352 | Coronavirus Infections |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
| D007239 | Infections |
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| ID | Term |
|---|---|
| D044623 | Nutrition Therapy |
| ID | Term |
|---|---|
| D013812 | Therapeutics |
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