Evidence map›Paper›PMID 37463688›Full record

ArticleJournal of Korean medical science2023

Clinical Characteristics and Risk Factors for Mortality in Critical COVID-19 Patients Aged 50 Years or Younger During Omicron Wave in Korea: Comparison With Patients Older Than 50 Years of Age.

Hye Jin Shi, Jinyoung Yang, Joong Sik Eom, Jae-Hoon Ko, Kyong Ran Peck, Uh Jin Kim, Sook In Jung, Seulki Kim, Hyeri Seok, Miri Hyun and 10 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. [COVID-19 fatality rate conditioned by risk factors in Mexico in 2020].Revista medica del Instituto Mexicano del Seguro Social · 2024
    Article
  7. Article
  8. Observational
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 9 institutions in 1 country.

Hye Jin Shi *Division of Infectious Diseases, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-7571-8485
Jinyoung Yang *Division of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8378-8937
Joong Sik EomDivision of Infectious Diseases, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0003-2744-1159
Jae-Hoon KoDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9490-6609
Kyong Ran PeckDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7464-9780
Uh Jin KimDepartment of Infectious Diseases, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0002-8463-6297
Sook In JungDepartment of Infectious Diseases, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0002-1577-678X
Seulki KimDivision of Infectious Diseases, Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea.ORCID https://orcid.org/0000-0002-1603-0963
Hyeri SeokDivision of Infectious Diseases, Department of Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea.ORCID https://orcid.org/0000-0002-2032-9538
Miri HyunDepartment of Infectious Diseases, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0003-0062-342X
Hyun Ah KimDepartment of Infectious Diseases, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0002-9125-7156
Bomi KimDivision of Infectious Diseases, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2197-642X
Eun-Jeong JooDivision of Infectious Diseases, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4741-4406
Hae Suk CheongDivision of Infectious Diseases, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8702-1987
Cheon Hoo JunDivision of Infectious Diseases, Department of Medicine, Changwon Samsung Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea.ORCID https://orcid.org/0000-0003-4676-2257
Yu Mi WiDivision of Infectious Diseases, Department of Medicine, Changwon Samsung Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea.ORCID https://orcid.org/0000-0003-3625-3328
Jungok KimDivision of Infectious Diseases, Chungnam National University Sejong Hospital, Sejong, Korea.ORCID https://orcid.org/0000-0002-0694-1579
Sungmin KymDivision of Infectious Diseases, Chungnam National University Sejong Hospital, Sejong, Korea.ORCID https://orcid.org/0000-0003-3518-966X
Seungjin LimDivision of Infectious Diseases, Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea.ORCID https://orcid.org/0000-0001-7939-9744
Yoonseon ParkDivision of Infectious Diseases, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea. yoonseony@gilhospital.com.ORCID https://orcid.org/0000-0002-2644-3606
Gachon University · KRKangbuk Samsung Hospital · KRSamsung Medical Center · KRChonnam National University Hospital · KRChungnam National University · KRKeimyung University · KRPusan National University Yangsan Hospital · KRSungkyunkwan University · KRKorea University · KR

Funding

Gachon University GCU-2022-202209660001Organization of academic resource management system for clinical trial of infectious disease HE20C002201139820037
6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic has caused the death of thousands of patients worldwide. Although age is known to be a risk factor for morbidity and mortality in COVID-19 patients, critical illness or death is occurring even in the younger age group as the epidemic spreads. In early 2022, omicron became the dominant variant of the COVID-19 virus in South Korea, and the epidemic proceeded on a large scale. Accordingly, this study aimed to determine whether young adults (aged ≤ 50 years) with critical COVID-19 infection during the omicron period had different characteristics from older patients and to determine the risk factors for mortality in this specific age group.

methodsWe evaluated 213 critical adult patients (high flow nasal cannula or higher respiratory support) hospitalized for polymerase chain reaction-confirmed COVID-19 in nine hospitals in South Korea between February 1, 2022 and April 30, 2022. Demographic characteristics, including body mass index (BMI) and vaccination status; underlying diseases; clinical features and laboratory findings; clinical course; treatment received; and outcomes were collected from electronic medical records (EMRs) and analyzed according to age and mortality.

resultsOverall, 71 critically ill patients aged ≤ 50 years were enrolled, and 142 critically ill patients aged over 50 years were selected through 1:2 matching based on the date of diagnosis. The most frequent underlying diseases among those aged ≤ 50 years were diabetes and hypertension, and all 14 patients who died had either a BMI ≥ 25 kg/m² or an underlying disease. The total case fatality rate among severe patients (S-CFR) was 31.0%, and the S-CFR differed according to age and was higher than that during the delta period. The S-CFR was 19.7% for those aged ≤ 50 years, 36.6% for those aged > 50 years, and 38.1% for those aged ≥ 65 years. In multivariate analysis, age (odds ratio [OR], 1.084; 95% confidence interval [CI], 1.043-1.127), initial low-density lipoprotein > 600 IU/L (OR, 4.782; 95% CI, 1.584-14.434), initial C-reactive protein > 8 mg/dL (OR, 2.940; 95% CI, 1.042-8.293), highest aspartate aminotransferase > 200 IU/L (OR, 12.931; 95% CI, 1.691-98.908), and mechanical ventilation implementation (OR, 3.671; 95% CI, 1.294-10.420) were significant independent predictors of mortality in critical COVID-19 patients during the omicron wave. A similar pattern was shown when analyzing the data by age group, but most had no statistical significance owing to the small number of deaths in the young critical group. Although the vaccination completion rate of all the patients (31.0%) was higher than that in the delta wave period (13.6%), it was still lower than that of the general population. Further, only 15 (21.1%) critically ill patients aged ≤ 50 years were fully vaccinated. Overall, the severity of hospitalized critical patients was significantly higher than that in the delta period, indicating that it was difficult to find common risk factors in the two periods only with a simple comparison.

conclusionOverall, the S-CFR of critically ill COVID-19 patients in the omicron period was higher than that in the delta period, especially in those aged ≤ 50 years. All of the patients who died had an underlying disease or obesity. In the same population, the vaccination rate was very low compared to that in the delta wave, indicating that non-vaccination significantly affected the progression to critical illness. Notably, there was a lack of prescription for Paxlovid for these patients although they satisfied the prescription criteria. Early diagnosis and active initial treatment was necessary, along with the proven methods of vaccination and personal hygiene. Further studies are needed to determine how each variant affects critically ill patients.

Indexed as

COVID-19Critical IllnessDrug CombinationsHumansLactamsLeucineMiddle AgedNitrilesProlineRepublic of KoreaRisk FactorsRitonavirYoung AdultDrug CombinationsLactamsLeucinenirmatrelvir and ritonavir drug combinationNitrilesProlineRitonavirCOVID-19CriticalMortalityOmicron VariantRisk FactorsYoung

Identifiers

PMID37463688
PMCPMC10353914
OpenAlexW4380537329

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LicenceCC BY-NC
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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.