医学
尸检
死因
间质性肺病
内科学
肺
病理
疾病
作者
Bettina Sandmeier,Veronika K Jäger,Gabriella Nagy,Patrícia Carreira,Alexandar Tzankov,Małgorzata Widuchowska,Milos Antic,Oliver Distler,Helena Reichert,Jörg Distler,Ulrich A. Walker,Thomas Hügle
出处
期刊:PubMed
日期:2015-09-05
卷期号:33 (4 Suppl 91): S75-9
被引量:8
摘要
Subclinical organ pathology occurs regularly in systemic sclerosis (SSc) and affects correct prognosis as well as treatment choices. We aimed to evaluate autopsy data for organ involvement with subsequent correlation to clinical data in order to assess discrepancies in pathological and clinical findings in SSc.A standardised autopsy questionnaire from diseased patients registered in the European Scleroderma Trials and Research group (EUSTAR) cohort was analysed on cause of death and various manifestations in different organ systems. Clinical data obtained from the EUSTAR database of the corresponding patients including cause of death and disease manifestations of lung, heart, kidney, gastrointestinal, skin or musculoskeletal organ involvement were retrospectively analysed and compared to autopsy data.11 patients (6 women, 5 male) aged between 23 and 84 were included. Cause of death defined by pathologist and clinician were identical in 9/11 cases. In 8 individuals, cause of death was related to heart and lung pathologies. Heart and lung involvement (both 10/11) were the most frequently detected organ involvement at autopsy. Here, myocardial fibrosis occurred in 66% and lung fibrosis in 50% of the patients. Clinically, diastolic function abnormalities (6/11), conduction block (4/11), reduced DCLO (6/11) and dyspnea (8/11) were the most prevalent cardiopulmonary findings. For heart and renal involvement we found higher prevalence in autopsy than by clinical diagnosis. Especially myocardial fibrosis and renal arteriosclerosis were only obtained by autopsy in several individuals.Clinical diagnostic procedures are limited in detection of end-organ damage, especially for cardiac involvement. All the more post mortem examinations are needed for quality verification of clinical diagnosis and might help as to better understand the disease processes as well as to improve patient care.
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