Moxon Te Aro, Reed Peter, Jelleyman Timothy, Anderson Philippa, Leversha Alison, Jackson Catherine, Lennon Diana
Clinical Research Fellow, Department of Paediatrics, University of Auckland, Auckland.
Bio-Statistician, Starship Children's Hospital, Auckland DHB, Auckland.
N Z Med J. 2017 Aug 11;130(1460):48-62.
To determine the most accurate data source for acute rheumatic fever (ARF) epidemiology in the Auckland region.
To assess coverage of the Auckland Regional Rheumatic Fever Register (ARRFR), (1998-2010) for children <15 years and resident in Auckland at the time of illness, register, hospitalisation and notification data were compared. A consistent definition was applied to determine definite and probable cases of ARF using clinical records. (www.heartfoundation.org.nz) RESULTS: Of 559 confirmed (definite and probable) RF cases <15 years (median age 10 years), seven were recurrences. Of 552 first episodes, the ARRFR identified 548 (99%), hospitalisations identified 501 (91%) including four not on the register, and public health notifications identified 384 (70%). Of hospitalisation cases, 33% (245/746), and of notifications 20% (94/478) did not meet the case definition and were therefore excluded. Between 1998-2010, eight cases, initially entered as ARF on the ARRFR, were later removed once further clinical detail was available.
The ARRFR produced the most accurate information surrounding new cases of ARF (for children <15 years) for the years 1998-2010 in Auckland. This was significantly more accurate than medical officer of health notification and hospitalisation data.
确定奥克兰地区急性风湿热（ARF）流行病学最准确的数据源。
为评估奥克兰地区风湿热登记册（ARRFR，1998 - 2010年）对15岁以下且发病时居住在奥克兰的儿童的覆盖情况，对登记、住院和通报数据进行了比较。使用临床记录采用一致的定义来确定ARF的确诊和疑似病例。（www.heartfoundation.org.nz）结果：在559例确诊（确诊和疑似）的15岁以下RF病例（中位年龄10岁）中，7例为复发病例。在552例首次发作病例中，ARRFR识别出548例（99%），住院记录识别出501例（91%），其中包括4例未登记的病例，公共卫生通报识别出384例（70%）。在住院病例中，33%（245/746）以及通报病例中20%（94/478）不符合病例定义，因此被排除。1998年至2010年期间，最初在ARRFR上登记为ARF的8例病例，在获得更多临床细节后被剔除。
ARRFR提供了1998年至2010年奥克兰地区15岁以下儿童ARF新病例最准确的信息。这比卫生官员通报和住院数据准确得多。
