A. SHOAIBI, G. RAO, E. VOSS, A. OSTROPOLETS, M. MAYER, J. RAMIREZ-ANGUITA, F. MALJKOVIC, B. CAREVIC, S. HORBAN, D. MORALES, T. DUARTE-SALLES, C. FRABOULET, T. LE CARROUR, S. DENAXAS, V. PAPEZ, L. JOHN, P. RIJNEEK, E. MINTY, T. ALSHAMMARI, R. MAKADIA, C. BLACKETER, F. DEFALCO, A. SENA, M. SUCHARD, D. PRIETO-ALHAMBRA and P. RYAN
2022 Jun 1; . doi:10.1007/s40264-022-01187-y; PMID:35653017
Introduction Vaccine-induced thrombotic thrombocytopenia (VITT) has been identified as a rare but serious adverse event associated with coronavirus disease 2019 (COVID-19) vaccines. Objectives In this study, we explored the pre-pandemic co-occurrence of thrombosis with thrombocytopenia (TWT) using 17 observational health data sources across the world. We applied multiple TWT definitions, estimated the background rate of TWT, characterized TWT patients, and explored the makeup of thrombosis types among TWT patients. Methods We conducted an international network retrospective cohort study using electronic health records and insurance claims data, estimating background rates of TWT amongst persons observed from 2017 to 2019. Following the principles of existing VITT clinical definitions, TWT was defined as patients with a diagnosis of embolic or thrombotic arterial or venous events and a diagnosis or measurement of thrombocytopenia within 7 days. Six TWT phenotypes were considered, which varied in the approach taken in defining thrombosis and thrombocytopenia in real world data. Results Overall TWT incidence rates ranged from 1.62 to 150.65 per 100,000 person-years. Substantial heterogeneity exists across data sources and by age, sex, and alternative TWT phenotypes. TWT patients were likely to be men of older age with various comorbidities. Among the thrombosis types, arterial thrombotic events were the most common. Conclusion Our findings suggest that identifying VITT in observational data presents a substantial challenge, as implementing VITT case definitions based on the co-occurrence of TWT results in large and heterogeneous incidence rate and in a cohort of patints with baseline characteristics that are inconsistent with the VITT cases reported to date.
P. SANTIA, A. JANSANA, I. DEL CURA, M. PADILLA-RUIZ, L. DOMINGO, J. LOURO, M. COMAS, T. SANZ, T. DUARTE-SALLES, M. REDONDO, B. IBANEZ, A. PRADOS-TORRES, X. CASTELLS and M. SALA
2022 Jun 1; . doi:10.1007/s10549-022-06563-x; PMID:35290544
Purpose To identify adherence to follow-up recommendations in long-term breast cancer survivors (LTBCS) of the SURBCAN cohort and to identify its determinants, using real-world data. Methods We conducted a retrospective study using electronic health records from 2012 to 2016 of women diagnosed with incident breast cancer in Spain between 2000 and 2006 and surviving at least 5 years. Adherence to basic follow-up recommendations, adherence according to risk of recurrence, and overall adherence were calculated based on attendance at medical appointments and imaging surveillance, by year of survivorship. Logistic regression models were fitted to depict the association between adherence and its determinants. Results A total of 2079 LTBCS were followed up for a median of 4.97 years. Of them, 23.6% had survived >= 10 years at baseline. We estimated that 79.5% of LTBCS were overall adherent to at least one visit and one imaging test. Adherence to recommendations decreased over time and no differences were found according to recurrence risk. Determinants of better overall adherence were diagnosis in middle age (50-69 years old), living in a more-deprived area, having fewer years of survival, receiving primary treatment, and being alive at the end of follow-up. Conclusion We identified women apparently not complying with surveillance visits and tests. Special attention should be paid to the youngest and eldest women at diagnosis and to those with longer survival.
F. ORFILA, L. CARRASCO-RIBELLES, R. ABELLANA, A. ROSO-LLORACH, F. CEGRI, C. REYES and C. VIOLAN
2022 May 7; . doi:10.1186/s12877-022-03090-8; PMID:35525922
Objective To create an electronic frailty index (eFRAGICAP) using electronic health records (EHR) in Catalunya (Spain) and assess its predictive validity with a two-year follow-up of the outcomes: homecare need, institutionalization and mortality in the elderly. Additionally, to assess its concurrent validity compared to other standardized measures: the Clinical Frailty Scale (CFS) and the Risk Instrument for Screening in the Community (RISC). Methods The eFRAGICAP was based on the electronic frailty index (eFI) developed in United Kingdom, and includes 36 deficits identified through clinical diagnoses, prescriptions, physical examinations, and questionnaires registered in the EHR of primary health care centres (PHC). All subjects > 65 assigned to a PHC in Barcelona on 1st January, 2016 were included. Subjects were classified according to their eFRAGICAP index as: fit, mild, moderate or severe frailty. Predictive validity was assessed comparing results with the following outcomes: institutionalization, homecare need, and mortality at 24 months. Concurrent validation of the eFRAGICAP was performed with a sample of subjects (n = 333) drawn from the global cohort and the CFS and RISC. Discrimination and calibration measures for the outcomes of institutionalization, homecare need, and mortality and frailty scales were calculated. Results 253,684 subjects had their eFRAGICAP index calculated. Mean age was 76.3 years (59.5% women). Of these, 41.1% were classified as fit, and 32.2% as presenting mild, 18.7% moderate, and 7.9% severe frailty. The mean age of the subjects included in the validation subsample (n = 333) was 79.9 years (57.7% women). Of these, 12.6% were classified as fit, and 31.5% presented mild, 39.6% moderate, and 16.2% severe frailty. Regarding the outcome analyses, the eFRAGICAP was good in the detection of subjects who were institutionalized, required homecare assistance, or died at 24 months (c-statistic of 0.841, 0.853, and 0.803, respectively). eFRAGICAP was also good in the detection of frail subjects compared to the CFS (AUC 0.821) and the RISC (AUC 0.848). Conclusion The eFRAGICAP has a good discriminative capacity to identify frail subjects compared to other frailty scales and predictive outcomes.
N. VILLEN, M. GUISADO-CLAVERO, S. FERNANDEZ-BERTOLIN, A. TRONCOSO-MARINO, Q. FOGUET-BOREU, E. AMADO, M. PONS-VIGUES, A. ROSO-LLORACH and C. VIOLAN
2022 May 6; . doi:10.1186/s12877-021-02567-2; PMID:35524180
E. BURN, X. LI, K. KOSTKA, H. STEWART, C. REICH, S. SEAGER, T. DUARTE-SALLES, S. FERNANDEZ-BERTOLIN, M. ARAGON, C. REYES, E. MARTINEZ-HERNANDEZ, E. MARTI, A. DELMESTRI, K. VERHAMME, P. RIJNBEEK, S. HORBAN, D. MORALES and D. PRIETO-ALHAMBRA
2022 May 1; . doi:10.1002/pds.5419; PMID:35191114
BackgroundThrombosis with thrombocytopenia syndrome (TTS) has been reported among individuals vaccinated with adenovirus-vectored COVID-19 vaccines. In this study, we describe the background incidence of non-vaccine induced TTS in six European countries.
MethodsElectronic medical records from France, the Netherlands, Italy, Germany, Spain, and the United Kingdom informed the study. Incidence rates of cerebral venous sinus thrombosis (CVST), splanchnic vein thrombosis (SVT), deep vein thrombosis (DVT), pulmonary embolism (PE), and myocardial infarction or ischemic stroke, all with concurrent thrombocytopenia, were estimated among the general population of persons in a database between 2017 and 2019. A range of additional potential adverse events of special interest for COVID-19 vaccinations were also studied in a similar manner.
FindingsA total of 38611617 individuals were included. Background rates ranged from 1.0 (95% CI: 0.7-1.4) to 8.5 (7.4-9.9) per 100000 person-years for DVT with thrombocytopenia, from 0.5 (0.3-0.6) to 20.8 (18.9-22.8) for PE with thrombocytopenia, from 0.1 (0.0-0.1) to 2.5 (2.2-2.7) for SVT with thrombocytopenia, and from 1.0 (0.8-1.2) to 43.4 (40.7-46.3) for myocardial infarction or ischemic stroke with thrombocytopenia. CVST with thrombocytopenia was only identified in one database, with incidence rate of 0.1 (0.1-0.2) per 100000 person-years. The incidence of non-vaccine induced TTS increased with age, and was typically greater among those with more comorbidities and greater medication use than the general population. It was also more often seen in men than women. A large proportion of those affected were seen to have been taking antithrombotic and anticoagulant therapies prior to their event.
InterpretationAlthough rates vary across databases, non-vaccine induced TTS has consistently been seen to be a very rare event among the general population. While still remaining very rare, rates were typically higher among older individuals, and those affected were also seen to generally be male and have more comorbidities and greater medication use than the general population.