Double Trouble: COVID-19 Infection Exacerbates Sickle Cell Crisis Outcomes in Hospitalized Patients-Insights from National Inpatient Sample 2020.
Zubair Hassan BodlaMariam HashmiFatima NiazAustin B AuyeungAnuoluwa OyetoranMuhammad Jahanzeb KhalilMuhammad Salman FaisalFarhan KhalidAbdel-Rahman ZakiehYvette BazikianChristopher L BrayPublished in: Hematology reports (2024)
Background: This study investigated the impact of COVID-19 on patients with sickle cell crisis (SCC) using National Inpatient Sample (NIS) data for the year 2020. Methods: A retrospective cohort analysis was conducted utilizing International Classification of Diseases (ICD-10) codes to identify adults who were admitted with a principal diagnosis of sickle cell crisis. The primary outcomes examined were inpatient mortality, while the secondary outcomes assessed included morbidity, hospital length of stay, and resource utilization. Analyses were conducted with STATA. Multivariate logistic and linear regression analyses were used to adjust for confounding variables. Results: Of 66,415 adult patients with a primary SCC diagnosis, 875 were identified with a secondary diagnosis of COVID-19 infection. Unadjusted mortality rate was higher for SCC patients with COVID-19 (2.28%) compared to those without (0.33%), with an adjusted odds ratio (aOR) of 8.49 ( p = 0.001). They also showed increased odds of developing acute respiratory failure (aOR = 2.37, p = 0.003) and acute kidney injury requiring dialysis (aOR = 8.66, p = 0.034). Additionally, these patients had longer hospital stays by an adjusted mean of 3.30 days ( p < 0.001) and incurred higher hospitalization charges by an adjusted mean of USD 35,578 ( p = 0.005). Conclusions: The SCC patients with COVID-19 presented higher mortality rates, increased morbidity indicators, longer hospital stays, and substantial economic burdens.
Keyphrases
- respiratory failure
- acute care
- end stage renal disease
- public health
- acute kidney injury
- cardiovascular events
- palliative care
- chronic kidney disease
- mental health
- healthcare
- extracorporeal membrane oxygenation
- peritoneal dialysis
- adverse drug
- coronavirus disease
- risk factors
- mechanical ventilation
- newly diagnosed
- ejection fraction
- machine learning
- quality improvement
- emergency department
- liver failure
- adipose tissue
- type diabetes
- cardiovascular disease
- hepatitis b virus
- artificial intelligence
- skeletal muscle
- insulin resistance
- patient reported
- neural network