Evidence map›Paper›PMID 39226091›Full record

ArticleJMIR public health and surveillance2024

Impact of Long SARS-CoV-2 Omicron Infection on the Health Care Burden: Comparative Case-Control Study Between Omicron and Pre-Omicron Waves.

Bernardo Valdivieso-Martinez, Victoria Lopez-Sanchez, Inma Sauri, Javier Diaz, Jose Miguel Calderon, Maria Eugenia Gas-Lopez, Laura Lidon, Juliette Philibert, Jose Luis Lopez-Hontangas, David Navarro and 3 more

Abstract readComparative Study
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

13 authors.

Bernardo Valdivieso-Martinez *Medical Research Institute, Hospital Universitari i Politècnic La Fe, Valencia, Spain.ORCID 0000-0003-3344-2369
Victoria Lopez-SanchezMedical Research Institute, Hospital Universitari i Politècnic La Fe, Valencia, Spain.ORCID 0009-0006-1303-0622
Inma SauriHospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain.ORCID 0000-0001-5017-2618
Javier DiazHospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain.ORCID 0000-0002-5822-3325
Jose Miguel CalderonHospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain.ORCID 0000-0003-3280-9114
Maria Eugenia Gas-LopezMedical Research Institute, Hospital Universitari i Politècnic La Fe, Valencia, Spain.ORCID 0000-0003-0924-9665
Laura LidonHospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain.ORCID 0009-0001-9441-3193
Juliette PhilibertMedical Research Institute, Hospital Universitari i Politècnic La Fe, Valencia, Spain.ORCID 0009-0009-7592-2935
Jose Luis Lopez-HontangasMedical Research Institute, Hospital Universitari i Politècnic La Fe, Valencia, Spain.ORCID 0000-0003-1426-3672
David NavarroHospital Clinico of Valencia, Valencia, Spain.ORCID 0000-0003-3010-4110
Llanos CuencaUniversitat Politècnica de València, Valencia, Spain.ORCID 0000-0003-3589-4182
Maria Jose FornerHospital Clinico of Valencia, Valencia, Spain.ORCID 0000-0002-6786-6760
Josep Redon *Hospital Clínico de la Comunidad Valenciana (INCLIVA) Research Institute, University of Valencia, Valencia, Spain.ORCID 0000-0001-8777-6773

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollowing the initial acute phase of COVID-19, health care resource use has escalated among individuals with SARS-CoV-2 infection.

objectiveThis study aimed to compare new diagnoses of long COVID and the demand for health services in the general population after the Omicron wave with those observed during the pre-Omicron waves, using similar assessment protocols for both periods and to analyze the influence of vaccination.

methodsThis matched retrospective case-control study included patients of both sexes diagnosed with acute SARS-CoV-2 infection using reverse transcription polymerase chain reaction or antigen tests in the hospital microbiology laboratory during the pandemic period regardless of whether the patients were hospitalized. We included patients of all ages from 2 health care departments that cover 604,000 subjects. The population was stratified into 2 groups, youths (<18 years) and adults (≥18 years). Patients were followed-up for 6 months after SARS-CoV-2 infection. Previous vaccination, new diagnoses, and the use of health care resources were recorded. Patients were compared with controls selected using a prospective score matched for age, sex, and the Charlson index.

resultsA total of 41,577 patients with a history of prior COVID-19 infection were included, alongside an equivalent number of controls. This cohort encompassed 33,249 (80%) adults aged ≥18 years and 8328 (20%) youths aged <18 years. Our analysis identified 40 new diagnoses during the observation period. The incidence rate per 100 patients over a 6-month period was 27.2 for vaccinated and 25.1 for unvaccinated adults (P=.09), while among youths, the corresponding rates were 25.7 for vaccinated and 36.7 for unvaccinated individuals (P<.001). Overall, the incidence of new diagnoses was notably higher in patients compared to matched controls. Additionally, vaccinated patients exhibited a reduced incidence of new diagnoses, particularly among women (P<.001) and younger patients (P<.001) irrespective of the number of vaccine doses administered and the duration since the last dose. Furthermore, an increase in the use of health care resources was observed in both adult and youth groups, albeit with lower figures noted in vaccinated individuals. In the comparative analysis between the pre-Omicron and Omicron waves, the incidence of new diagnoses was higher in the former; however, distinct patterns of diagnosis were evident. Specifically, depressed mood (P=.03), anosmia (P=.003), hair loss (P<.001), dyspnea (<0.001), chest pain (P=.04), dysmenorrhea (P<.001), myalgia (P=.011), weakness (P<.001), and tachycardia (P=.015) were more common in the pre-Omicron period. Similarly, health care resource use, encompassing primary care, specialist, and emergency services, was more pronounced in the pre-Omicron wave.

conclusionsThe rise in new diagnoses following SARS-CoV-2 infection warrants attention due to its potential implications for health systems, which may necessitate the allocation of supplementary resources. The absence of vaccination protection presents a challenge to the health care system.

Indexed as

COVID-19AdolescentAdultAgedCase-Control StudiesChildChild, PreschoolCost of IllnessCOVID-19 VaccinesFemaleHumansInfantMaleMiddle AgedPandemicsPost-Acute COVID-19 SyndromeCOVID-19 Vaccinesdiagnosticsemergency departmenthospitalizationlong COVIDOmicronpost–COVID-19primary carespecialist

Identifiers

PMID39226091
PMCPMC11408891

What OpenQuestion holds

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Registered trials

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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.