Evidence map›Paper›PMID 40045115›Full record

ArticleAnnals of hematology2025

Understanding the role of asthma in acute chest syndrome: a comparative analysis of patients with and without asthma.

Nehemias Guevara Rodriguez, Garry Franciss, Esmirna Perez, Zia Maryam

Abstract readComparative Study
In one paragraph

Article in Annals of hematology, 2025. 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

4 authors.

Nehemias Guevara RodriguezInternal Medicine Department, Division of Hematology-Oncology, Saint Louis University, Saint Louis, MO, USA. Nehemias.guevararodriguez@ssmhealth.com.
Garry FrancissInternal Medicine Department, Division of Pulmonology and Critical Care, Saint Louis University, Saint Louis, MO, USA.
Esmirna PerezInternal Medicine Department, Division of Palliative Care and Pain Management, Montifiore University, Bronx, NY, USA.
Zia MaryamInternal Medicine Department, Division of Hematology-Oncology, Saint Louis University, Saint Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While asthma is a known risk factor for Acute Chest Syndrome (ACS) and may increase overall mortality in SCD patients, this study specifically focuses on the rate of inpatient mortality, hospital stay, and costs in SCD patients who develop ACS. Our study was conducted using a retrospective cohort from the National Inpatient Sample (NIS), spanning 5 years from 2016 to 2020. Patients were carefully divided into two cohorts for comparison: those admitted with ACS and a history of asthma and those with ACS without a history of asthma. The primary endpoint was all-cause inpatient mortality, and we built a robust multivariate regression model adjusting for confounders. We also thoroughly examined secondary endpoints, including a comparison of length of stay (LOS), hospital, transfusion rates, mechanical ventilation (MV) rates, Continuous Renal Replacement Therapy (CRRT), and rates of hemodialysis (HD) for acute kidney injury (AKI). Our analysis of LOS and total cost was conducted using a multivariate linear regression model adjusted for confounders, ensuring the thoroughness and validity of our results. Additionally, genotypes, demographics, and common comorbidities were described. Categorical variables required Chi-square (X2), and continuous variables required a Student t-test for hypothesis testing. A two-tailed P-value of < 0.05 was considered statistically significant. We utilized the National Inpatient Database (NIS). A total of 26,280 hospitalizations met the inclusion criteria:5,685 had ACS with a history of asthma, and 20,622 without ACS. Patients with ACS and Asthma were younger (mean age, 28 years vs. 32 years; p < 0.001), and females represented a higher proportion (53.03% vs. 47.56%; p = 0.940). Patients admitted with ACS and Asthma did not have higher odds of dying than those admitted with ACS without asthma (p = 0.176). The Charlson Comorbidity Index (CCI) was the only predictor of mortality. (aOR 1.52; p < 0.001). ACS with Asthma was a predictive factor for LOS (coefficient -0.65; p = 0.009). Conversely, female patients had a higher likelihood of experiencing a more extended hospital stay (coefficient, 0.61; p = 0.001). Additionally, ACS with Asthma significantly affected the total cost (coefficient: -15,201; p < 0.001), resulting in a lower cost than ACS patients without asthma. Finally, patients with ACS with Asthma did not have higher rates of transfusions, MV, CRRT, or HD due to AKI than those without asthma. Asthma did not increase the risk of in-hospital mortality in this large retrospective cohort study of patients admitted for Acute Chest Syndrome (ACS). While patients with ACS and a history of asthma were younger and had a lower total cost of care, their length of stay was shorter, and they did not experience higher rates of transfusion, mechanical ventilation, or acute kidney injury requiring dialysis. The primary predictor of mortality was the Charlson Comorbidity Index (CCI), highlighting the importance of overall comorbidity burden. These findings suggest that although asthma is a known risk factor for ACS, it does not independently worsen patient outcomes or survival, underscoring the need for a broader focus on managing comorbid conditions in these patients.

Indexed as

Acute Chest SyndromeAsthmaAdultAgedFemaleHospital MortalityHumansLength of StayMaleMiddle AgedRetrospective StudiesRisk FactorsAcute chest syndromeAsthmaHematologyNationwide analysisOutcomesRisk factorSickle cell disease

Identifiers

PMID40045115
PMCPMC12052926

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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.