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P1435: OUTCOMES OF COVID-19 INFECTION IN INDIVIDUALS WITH SICKLE CELL DISEASE OR SICKLE CELL TRAIT: A SYSTEMATIC REVIEW AND META-ANALYSIS

2023· review· en· W4385699183 on OpenAlexaff
Isabella Michelon, Isabella Silveira Pinheiro, Isabela Lino Costa, Maysa Vilbert, Cecília Fernandes Lorea, Mathias Castonguay, Thai Hoa Tran, Stéphanie Forté

Bibliographic record

VenueHemaSphere · 2023
Typereview
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineCentre Hospitalier de l’Université de MontréalUniversity of Toronto
Fundersnot available
KeywordsMedicineSickle cell traitDiseasePopulationMeta-analysisAcute chest syndromeCochrane LibrarySickle cell anemiaPediatricsIntensive care medicineInclusion and exclusion criteriaConfoundingInternal medicinePathologyEnvironmental health

Abstract

fetched live from OpenAlex

Topic: 26. Sickle cell disease Background: The COVID-19 pandemic has led to more than 6 million deaths globally and it remains a public health issue. Clinical manifestations vary widely depending on several factors, including pre-existing comorbidities. Sickle cell disease and sickle cell trait are comprised of a group of conditions that affect hemoglobin, and both are the most common variants worldwide. However, the severity of COVID-19 presentation in these patients is still not well understood. Aims: We aimed to compare COVID-19 outcomes between individuals with SCD/SCT and those without SCD/SCT. Methods: On November 14 of 2022, we systematically searched PubMed, Embase, and Cochrane Library for studies of COVID-19 infection in SCD/SCT patients compared with the non-SCD/SCT population. Key exclusion criteria were not original studies and studies lacking the control group. The primary outcome of interest was mortality. Secondary outcomes were hospitalization rate, intensive care unit (ICU) admission and the need for oxygen support (invasive and non-invasive ventilation). We performed an analysis including only studies with outcomes adjusted for confounding factors and fitting all studies. Subgroup analyses were planned for the black population and pediatric versus non-pediatric patients. We also explored sickle-cell disease-related complications and the COVID-19 infection presentation. Review Manager 5.4 was used for comparative statistical analysis and OpenMeta Analyst for proportion meta-analysis. Results: Overall, 933 were screened and 22 met the inclusion criteria. These described 1725 SCD individuals, 2244 SCT individuals, and 725,340 non-SCD/SCT. In the pooled studies that performed adjusted analysis for confounding factors SCD/SCT patients were found to be at increased risk of death (OR 1.72; CI 95% 1.29 to 2.28; p = 0.0002) compared with the control group. Black individuals with SCT also had a higher mortality rate than black individuals without SCT (OR 1.73; 95% CI 1.16 to 2.59; p = 0.007). The hospitalization rate was considerably greater for the SCD/SCT population (OR 7.57; 95% CI 3.46 to 16.59; p < 0.001). Younger patients were more likely admitted to the hospital than adults (p = 0.04). In the whole study population, no significant difference was found between SCD/SCT and non-SCD/SCT in mortality rate (p = 0.08), both in the pediatric and non-pediatric population, ICU admission (p = 0.44) and oxygen requirements (p = 0.49). Regarding SCD-related complications, 27.2% (95% CI 12.9 to 41.5) of patients developed acute chest syndrome following COVID-19 infection. The vaso-occlusive crisis was reported in 24.6% (95% CI 10.4 to 38.9), and blood transfusion was administered in 26% of cases (95% CI 8.4 to 44.7). Common COVID-19 manifestations in the SCD population were fever, pneumonia, and dyspnea occurring in 47.4% (95% CI 27.5 to 67.3 %), 37.8% (95% CI 18.9 to 56.6 %), and 15.2% (95% CI 11.6 to 18.7 %) of individuals, respectively. Summary/Conclusion: Our large systematic review and meta-analysis demonstrated that patients with SCD/SCT had a higher risk of a severe COVID-19 infection and worse outcomes. Further subgroup analyses are planned to better understand risk differences between SCD and SCT. Future studies are needed to better understand the precise mechanisms leading to increased risk in those with sickle cell trait, as this carrier state is usually considered benign. Keywords: Sickle cell, Sickle cell disease, COVID-19, Sickle cell patient

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0120.002
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.351
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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