Immune thrombocytopenic purpura secondary to COVID-19 vaccination: A systematic review.

INTRODUCTION: This systematic review aimed to retrieve patients diagnosed with de novo immune thrombocytopenic purpura (ITP) after COVID-19 immunization to determine their epidemiological characteristics, clinical course, therapeutic strategies, and outcome. MATERIALS AND METHODS: We conducted the review using four major databases, comprising PubMed, Scopus, Web of Science, and the Cochrane library, until April 2022. A systematic search was performed in duplicate to access eligible articles in English. Furthermore, a manual search was applied to the chosen papers' references to enhance the search sensitivity. Data were extracted and analyzed with the SPSS 20.1 software. RESULTS: A total of 77 patients with de novo COVID-19 vaccine-associated ITP were identified from 41 studies, including 31 case reports and 10 case series. The median age of patients who developed COVID-19 vaccine-associated ITP was 54 years (IQR 36-72 years). The mRNA-based COVID-19 vaccines, including BNT16B2b2 and mRNA-1273, were most implicated (75.4%). Those were followed by the adenovirus vector-based vaccines, inclusive of ChAdOx1 nCoV-19 and vAd26.COV2.S. No report was found relating ITP to other COVID-19 vaccines. Most cases (79.2%) developed ITP after the first dose of COVID-19 vaccination. 75% of the patients developed ITP within 12 days of vaccination, indicating a shorter lag time compared to ITP after routine childhood vaccinations. Sixty-seven patients (87%) patients were hospitalized. The management pattern was similar to primary ITP, and systemic glucocorticoids, IVIg, or both were the basis of the treatment in most patients. Most patients achieved therapeutic goals; only two individuals required a secondary admission, and one patient who presented with intracranial hemorrhage died of the complication. CONCLUSIONS: De novo ITP is a rare complication of COVID-19 vaccination, and corresponding reports belong to mRNA-based and adenovirus vector-based vaccines, in order of frequency. This frequency pattern may be related to the scale of administration of individual vaccines and their potency in inducing autoimmunity. The more the COVID-19 vaccine is potent to induce antigenic challenge, the shorter the lag time would be. Most patients had a benign course and responded to typical treatments of primary ITP.

Predictors of critical COVID-19 in an Iranian population: Age and disabilities play a special role.

Background: Ever since coronavirus disease 2019 (COVID-19) has emerged as a global public health problem, risk factors for severe disease have been reported in studies from Western countries. However, apart from studies of Chinese origin, few reports are available on COVID-19 severity among the Asian population. This study investigates potential risk factors for development of critical COVID-19 in an Iranian population. Methods: In this retrospective cohort study, we included all adults with COVID-19 from 2 tertiary centers in Iran who had been diagnosed between February 20 and April 1, 2020, in either inpatient or outpatient settings. "Critical COVID-19" was proposed when a hospitalized patient was scheduled for admission to intensive care unit, assisted by mechanical ventilation, or pronounced dead. We used univariable and multivariable logistic and linear regression models to explore the potential risk factors associated with critical COVID-19, admission to hospital, and length of hospital stay. Results: Of the 590 recruited patients, 427 (72.4%) were hospitalized, 186 (31.5%) had critical COVID-19, and 107 (18.2%) died. In the multivariable regression analysis, age >60 years and physical/mental disabilities were associated with critical COVID-19 (odds ratio (OR), 2.33 and 7.03; 95% CI, 1.51-3.60 and 2.88-17.13, respectively); and history of renal, heart, or liver failure was associated with both COVID-19 hospitalization (OR, 4.13; 95% CI 1.91-8.95; p<0.001) and length of hospital stay (Beta 1.90; 95% CI, 0.76-3.04; p=0.001). Conclusion: Age >60 years and physical/mental disabilities can predict development of critical COVID-19 in the Iranian population. Also, the presence of renal, heart, or liver failure might predict both COVID-19 hospitalization and length of hospital stay.