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Thalassaemia is paradoxically associated with a reduced risk of in-hospital complications and mortality in COVID-19: Data from an international registry.

ABSTRACT: Although numerous patient-specific co-factors have been shown to be associated with worse outcomes in COVID-19, the prognostic value of thalassaemic syndromes in COVID-19 patients remains poorly understood. We studied the outcomes of 137 COVID-19 patients with a history of transfusion-dependent thalassaemia (TDT) and transfusion independent thalassaemia (TIT) extracted from a large international cohort and compared them with the outcomes from a matched cohort of COVID-19 patients with no history of thalassaemia. The mean age of thalassaemia patients included in our study was 41 ± 16 years (48.9% male). Almost 81% of these patients suffered from TDT requiring blood transfusions on a regular basis. 38.7% of patients were blood group O. Cardiac iron overload was documented in 6.8% of study patients, whereas liver iron overload was documented in 35% of study patients. 40% of thalassaemia patients had a history of splenectomy. 27.7% of study patients required hospitalization due to COVID-19 infection. Amongst the hospitalized patients, one patient died (0.7%) and one patient required intubation. Continuous positive airway pressure (CPAP) was required in almost 5% of study patients. After adjustment for age-, sex- and other known risk factors (cardiac disease, kidney disease and pulmonary disease), the rate of in-hospital complications (supplemental oxygen use, admission to an intensive care unit for CPAP therapy or intubation) and all-cause mortality was significantly lower in the thalassaemia group compared to the matched cohort with no history of thalassaemia. Amongst thalassaemia patients in general, the TIT group exhibited a higher rate of hospitalization compared to the TDT group (p = 0.001). In addition, the rate of complications such as acute kidney injury and need for supplemental oxygen was significantly higher in the TIT group compared to the TDT group. In the multivariable logistic regression analysis, age and history of heart or kidney disease were all found to be independent risk factors for increased in-hospital, all-cause mortality, whereas the presence of thalassaemia (either TDT or TIT) was found to be independently associated with reduced all-cause mortality. The presence of thalassaemia in COVID-19 patients was independently associated with lower in-hospital, all-cause mortality and few in-hospital complications in our study. The pathophysiology of this is unclear and needs to be studied in vitro and in animal models.

SUBMITTER: El-Battrawy I

PROVIDER: S-EPMC9077285 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Thalassaemia is paradoxically associated with a reduced risk of in-hospital complications and mortality in COVID-19: Data from an international registry.

El-Battrawy Ibrahim I Longo Filomena F Núñez Gil Iván J IJ Abumayyaleh Mohammad M Gianesin Barbara B Estrada Vicente V Aparisi Álvaro Á Arroyo-Espliguero Ramón R Balocco Manuela M Barella Susanna S Beccaria Andrea A Bonetti Federico F Casale Maddalena M De Michele Elisa E Denotti Anna Rita AR Fidone Carmelo C Fortini Monica M Gamberini Maria Rita MR Graziadei Giovanna G Lisi Roberto R Massa Antonella A Marcon Alessia A Rubinski Bryan B Miano Maurizio M Motta Irene I Pinto Valeria Maria VM Piperno Alberto A Mariani Raffaella R Putti Maria Caterina MC Quota Alessandra A Ribersani Michela M Marziali Marco M Roberti Domenico D Rosso Rosamaria R Tartaglione Immacolata I Vitucci Angelantonio A Voi Vincenzo V Zecca Marco M Romero Rodolfo R Marouneld Charbel C Fernández-Rozas Inmaculada I Espejo Carolina C Marhaeni Wulandewi W Garcia Aguado Marcos M Cappellini Maria Domenica MD Perrotta Silverio S De Franceschi Lucia L Piga Antonio A Forni Gian Luca GL Akin Ibrahim I

Journal of cellular and molecular medicine 20220330 9

Although numerous patient-specific co-factors have been shown to be associated with worse outcomes in COVID-19, the prognostic value of thalassaemic syndromes in COVID-19 patients remains poorly understood. We studied the outcomes of 137 COVID-19 patients with a history of transfusion-dependent thalassaemia (TDT) and transfusion independent thalassaemia (TIT) extracted from a large international cohort and compared them with the outcomes from a matched cohort of COVID-19 patients with no history ...[more]

PMID: 35355397

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Project description:The COVID-19 pandemic caused unprecedented pressure over health care systems worldwide. Hospital-level data that may influence the prognosis in COVID-19 patients still needs to be better investigated. Therefore, this study analyzed regional socioeconomic, hospital, and intensive care units (ICU) characteristics associated with in-hospital mortality in COVID-19 patients admitted to Brazilian institutions. This multicenter retrospective cohort study is part of the Brazilian COVID-19 Registry. We enrolled patients ≥ 18 years old with laboratory-confirmed COVID-19 admitted to the participating hospitals from March to September 2020. Patients' data were obtained through hospital records. Hospitals' data were collected through forms filled in loco and through open national databases. Generalized linear mixed models with logit link function were used for pooling mortality and to assess the association between hospital characteristics and mortality estimates. We built two models, one tested general hospital characteristics while the other tested ICU characteristics. All analyses were adjusted for the proportion of high-risk patients at admission. Thirty-one hospitals were included. The mean number of beds was 320.4 ± 186.6. These hospitals had eligible 6556 COVID-19 admissions during the study period. Estimated in-hospital mortality ranged from 9.0 to 48.0%. The first model included all 31 hospitals and showed that a private source of funding (β = - 0.37; 95% CI - 0.71 to - 0.04; p = 0.029) and location in areas with a high gross domestic product (GDP) per capita (β = - 0.40; 95% CI - 0.72 to - 0.08; p = 0.014) were independently associated with a lower mortality. The second model included 23 hospitals and showed that hospitals with an ICU work shift composed of more than 50% of intensivists (β = - 0.59; 95% CI - 0.98 to - 0.20; p = 0.003) had lower mortality while hospitals with a higher proportion of less experienced medical professionals had higher mortality (β = 0.40; 95% CI 0.11-0.68; p = 0.006). The impact of those association increased according to the proportion of high-risk patients at admission. In-hospital mortality varied significantly among Brazilian hospitals. Private-funded hospitals and those located in municipalities with a high GDP had a lower mortality. When analyzing ICU-specific characteristics, hospitals with more experienced ICU teams had a reduced mortality.

Project description:BackgroundResuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited. Using in-hospital data available within the first 24 hours of admission, we aimed to develop more accurate models of risk prediction using both logistic regression (LR) and machine learning (ML) techniques, with a combination of demographic, physiologic, and biochemical information.Methods and findingsPatient-level data were extracted from the Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database for patients who had experienced a cardiac arrest within 24 hours prior to admission to an intensive care unit (ICU) during the period January 2006 to December 2016. The primary outcome was in-hospital mortality. The models were trained and tested on a dataset (split 90:10) including age, lowest and highest physiologic variables during the first 24 hours, and key past medical history. LR and 5 ML approaches (gradient boosting machine [GBM], support vector classifier [SVC], random forest [RF], artificial neural network [ANN], and an ensemble) were compared to the APACHE III and Australian and New Zealand Risk of Death (ANZROD) predictions. In all, 39,566 patients from 186 ICUs were analysed. Mean (±SD) age was 61 ± 17 years; 65% were male. Overall in-hospital mortality was 45.5%. Models were evaluated in the test set. The APACHE III and ANZROD scores demonstrated good discrimination (area under the receiver operating characteristic curve [AUROC] = 0.80 [95% CI 0.79-0.82] and 0.81 [95% CI 0.8-0.82], respectively) and modest calibration (Brier score 0.19 for both), which was slightly improved by LR (AUROC = 0.82 [95% CI 0.81-0.83], DeLong test, p < 0.001). Discrimination was significantly improved using ML models (ensemble and GBM AUROCs = 0.87 [95% CI 0.86-0.88], DeLong test, p < 0.001), with an improvement in performance (Brier score reduction of 22%). Explainability models were created to assist in identifying the physiologic features that most contributed to an individual patient's survival. Key limitations include the absence of pre-hospital data and absence of external validation.ConclusionsML approaches significantly enhance predictive discrimination for mortality following cardiac arrest compared to existing illness severity scores and LR, without the use of pre-hospital data. The discriminative ability of these ML models requires validation in external cohorts to establish generalisability.

Project description:BackgroundThalassaemia is a quantitative abnormality of haemoglobin caused by mutations in genes controlling production of alpha or beta globins. Abnormally unpaired globin chains cause membrane damage and cell death within organ systems and destruction of erythroid precursors in the bone marrow, leading to haemolytic anaemia. The life-long management of the general health effects of thalassaemia is highly challenging, and failure to deal with dental and orthodontic complications exacerbates the public health, financial and personal burden of the condition. There is a lack of evidence-based guidelines to help care seekers and providers manage such dental and orthodontic complications. This review aimed to evaluate the available evidence on methods for treating dental and orthodontic complications in people with thalassaemia to inform future recommendations. This is an update of a Cochrane Review first published in 2019.ObjectivesTo assess different methods for treating dental and orthodontic complications in people with thalassaemia.Search methodsWe searched the Cochrane Cystic Fibrosis and Genetic Disorders Group's Haemoglobinopathies Trials Register in September 2022, and we searched nine online databases and trials registries in January 2022. We searched the reference lists of relevant articles and reviews and contacted haematologists, experts in fields of dentistry, organisations, pharmaceutical companies and researchers working in this field.Selection criteriaWe searched for published or unpublished randomised controlled trials (RCTs) that evaluated treatment of dental and orthodontic complications in individuals diagnosed with thalassaemia, irrespective of phenotype, severity, age, sex and ethnic origin.Data collection and analysisTwo review authors independently screened the 37,242 titles retrieved by the search. After deduplication, we identified two potentially relevant RCTs. On assessing their eligibility against our inclusion and exclusion criteria, we excluded one and included the other.Main resultsWe included one parallel-design RCT conducted in Saudi Arabia and involving 29 participants (19 males, 10 females) with thalassaemia. It aimed to assess the effectiveness of photodynamic therapy as an adjuvant to conventional full-mouth ultrasonic scaling for the treatment of gingivitis. The average age of participants was around 23 years. There is very low-certainty evidence from this trial that full-mouth ultrasonic scaling plus photodynamic therapy compared to full-mouth ultrasonic scaling alone may improve gingival index score and bleeding on probing after 12 weeks in people with thalassaemia. We found no studies that assessed other interventions for the various dental or orthodontic complications of thalassaemia.Authors' conclusionsAlthough the included study showed greater reduction in gingivitis in the group treated with full-mouth ultrasonic scaling plus photodynamic therapy, the evidence is of very low certainty. The study had unclear risk of bias, a short follow-up period and no data on safety or adverse effects. We cannot make definitive recommendations for clinical practice based on the limited evidence of a single trial. Future studies will very likely affect the conclusions of this review. This review highlights the need for high-quality RCTs that investigate the effectiveness of various treatment modalities for dental and orthodontic complications in people with thalassaemia. It is crucial that future trials assess adverse effects of interventions.

Project description:BackgroundThe risk of severe coronavirus disease 2019 (COVID-19) is increased in people with diabetes, but effects of diabetes type and other risk factors remain incompletely characterized. We studied this in a Swedish cohort of hospitalized patients with type 1 and type 2 diabetes (T1D and T2D), also including comparisons with influenza epidemics of recent years.MethodsNationwide healthcare registries were used to identify patients. A total of 11,005 adult patients with diabetes (T1D, n = 373; T2D, n = 10,632) were hospitalized due to COVID-19 from January 1, 2020 to September 1, 2021. Moreover, 5111 patients with diabetes (304 T1D, 4807 T2D) were hospitalized due to influenza from January 1, 2015 to December 31, 2019. Main outcomes were death within 28 days after admission and new hospitalizations for heart failure (HF), chronic kidney disease (CKD), cardiorenal disease (CRD; composite of HF and CKD), myocardial infarction (MI) and stroke during 1 year of follow-up.ResultsNumber of deaths and CRD events were 2025 and 442 with COVID-19 and 259 and 525 with influenza, respectively. Age- and sex-adjusted Cox regression models in COVID-19 showed higher risk of death and HF in T1D vs. T2D, hazard ratio (HR) 1.77 (95% confidence interval 1.41-2.22) and 2.57 (1.31-5.05). With influenza, T1D was associated with higher risk of death compared with T2D, HR 1.80 (1.26-2.57). Older age and previous CRD were associated with higher risks of death and hospitalization for CRD. After adjustment for prior comorbidities, mortality differences were still significant, but there were no significant differences in cardiovascular and renal outcomes. COVID-19 relative to influenza was associated with higher risk of death in both T1D and T2D, HR 2.44 (1.60-3.72) and 2.81 (2.59-3.06), respectively.ConclusionsIn Sweden, patients with T1D as compared to T2D had a higher age- and sex-adjusted risk of death within 28 days and HF within one year after COVID-19 hospitalization, whereas the risks of other non-fatal cardiovascular and renal disease events were similar. Patients with T1D as well as T2D have a greater mortality rate when hospitalized due to COVID-19 compared to influenza, underscoring the importance of vaccination and other preventive measures against COVID-19 for diabetes patients.

Dataset Information

Thalassaemia is paradoxically associated with a reduced risk of in-hospital complications and mortality in COVID-19: Data from an international registry.

Publications

Thalassaemia is paradoxically associated with a reduced risk of in-hospital complications and mortality in COVID-19: Data from an international registry.

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