Vaccine preventable invasive bacterial diseases in Italy: A comparison between the national surveillance system and recorded hospitalizations, 2007-2016

被引:17
作者
Pezzotti, Patrizio [1 ]
Bellino, Stefania [1 ]
Riccardo, Flavia [1 ]
Lucaroni, Francesca [2 ]
Cerquetti, Marina [1 ]
Pantosti, Annalisa [1 ]
Rezza, Giovanni [1 ]
Stefanelli, Paola [1 ]
机构
[1] ISS, Italian Natl Inst Hlth, Dept Infect Dis, Rome, Italy
[2] Tor Vergata Univ, Rome, Italy
关键词
Invasive bacterial disease; Neisseria meningitidis; Streptococcus pneumoniae; Haemophilus influenzae; Hospital discharge records; National surveillance system; MENINGOCOCCAL DISEASE;
D O I
10.1016/j.vaccine.2018.11.047
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: Vaccine-preventable invasive bacterial diseases (IBDs) caused by Neisseria meningitidis (Nm), Streptococcus pneumoniae (Sp), and Haemophilus influenzae (Hi) have been notified in Italy since 2007 without assessing reporting completeness. Methods: Our study compared the number of cases of IBDs identified from the Italian Hospital Discharge Records (HDRs), using specific diagnostic ICD-9-CM codes, with those notified to the National Surveillance System (NSS) from 2007 to 2016. A multinomial logistic regression model was used to impute the aetiology of all discharges with a diagnosis of unspecified bacterial meningitis. Results: Over a 10-year period, 14,243 hospital discharges with diagnosis of IBD were estimated in Italy (12,671 with specified aetiology and 1,572 with imputed aetiology). Among those, 2,513 (17.6%) were caused by Nm, 10,441 (73.3%) by Sp, and 1289 (9.1%) by Hi. Most invasive meningococcal diseases were coded as meningitis (72.3%), while Hi and Sp were more frequently coded as septicaemia (51.6% and 60.4%, respectively). The highest mean annual incidence rate was found for IBD caused by Sp (1.74 per 100,000), followed by Nm (0.42 per 100,000) and by Hi (0.21 per 100,000). Comparing NSS with HDR data, we found an initially high underreporting of all IBDs, and particularly for Hi. Data from the two systems overlapped in more recent years, due to an improved reporting completeness. The increasing IBD incidence observed in NSS data was not confirmed by HDR data trends, although with pathogen-related differences with Hi cases rising in both data sources, suggesting that is mainly due to an improved disease notification rather than to a true incidence increase. Conclusions: Comparing surveillance data with other data sources is useful to better interpret observed trends of notifiable diseases. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:41 / 48
页数:8
相关论文
共 16 条
  • [1] [Anonymous], DAT SORV MAL BATT IN
  • [2] Invasive meningococcal disease in the Veneto region of Italy: a capturere-capture analysis for assessing the effectiveness of an integrated surveillance system
    Baldovin, Tatjana
    Lazzari, Roberta
    Cocchio, Silvia
    Furlan, Patrizia
    Bertoncello, Chiara
    Saia, Mario
    Russo, Francesca
    Baldo, Vincenzo
    [J]. BMJ OPEN, 2017, 7 (04):
  • [3] Understanding the burden of pneumococcal disease in adults
    Blasi, F.
    Mantero, M.
    Santus, PierAchille
    Tarsia, P.
    [J]. CLINICAL MICROBIOLOGY AND INFECTION, 2012, 18 : 7 - 14
  • [4] European Centre for Disease Prevention and Control, ANN EP REP 2015 HAEM
  • [5] European Centre for Disease Prevention and Control, INV MEN DIS ANN EP R
  • [6] European Centre for Disease Prevention and Control, INV PNEUM DIS ANN EP
  • [7] Underreporting of congenital rubella in Italy, 2010-2014
    Giambi, Cristina
    Bella, Antonino
    Filia, Antonietta
    Del Manso, Martina
    Nacca, Gloria
    Declich, Silvia
    Rota, Maria Cristina
    [J]. EUROPEAN JOURNAL OF PEDIATRICS, 2017, 176 (07) : 955 - 962
  • [8] Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods
    Gibbons, Cheryl L.
    Mangen, Marie-Josee J.
    Plass, Dietrich
    Havelaar, Arie H.
    Brooke, Russell John
    Kramarz, Piotr
    Peterson, Karen L.
    Stuurman, Anke L.
    Cassini, Alessandro
    Fevre, Eric M.
    Kretzschmar, Mirjam E. E.
    [J]. BMC PUBLIC HEALTH, 2014, 14
  • [9] Hosmer DW, 2013, APPL LOGISTIC REGRES, DOI [10.1002/9781118548387, DOI 10.1002/9781118548387]
  • [10] Peterson L. E., 2006, INT JOINT C NEUR NET