Sokolova Maryna, Marshall Jonathan C, Benschop Jackie
EpiCentre, School of Veterinary Science, Massey University, Palmerston North 4474, New Zealand.
School of Fundamental Sciences, Massey University, Palmerston North 4474, New Zealand.
Trop Med Infect Dis. 2021 Oct 20;6(4):188. doi: 10.3390/tropicalmed6040188.
Leptospirosis is a neglected zoonotic disease that is widespread in tropical and subtropical regions such as Oceania, which includes New Zealand. The incidence rate of leptospirosis in New Zealand remains high in comparison to other high-income countries, with over half of the notified patients hospitalised, and the factors associated with hospitalisation are poorly understood. This study aimed to estimate the risk factors for hospitalisation amongst leptospirosis patients using passive surveillance data: notifications from 1 January 1999 to 31 December 2017 extracted from New Zealand's notifiable disease database. There were 771 hospitalised and 673 non-hospitalised patients. Multivariable logistic regression was used to identify risk factors. The year of notification was significantly and positively associated with hospitalisation, with adjusted (adj.) OR 1.03 (95% CI:1.01-1.05). Occupation was significantly associated with hospitalisation, with the adjusted odds of hospitalisation amongst dairy farmers notified with leptospirosis at adj. OR 1.44 (95% CI: 1.02-2.02) times the adjusted odds of hospitalisation amongst farmers that worked with other livestock. Seropositivity for Copenhageni (adj. OR 5.96, 95% CI: 1.68-21.17) and Pomona (adj. OR 1.14, 95% CI: 0.74-1.74)) was more likely to result in hospitalisation when compared to Ballum (baseline). Seropositivity for Hardjo (adj. OR 0.71, 95% CI: 0.49-1.01) and Tarassovi (adj. OR 0.39, 95% CI: 0.23-0.66) was less likely to result in hospitalisation when compared to Ballum (baseline). All the estimates were additionally adjusted for the effect of sex, age, ethnicity, reported occupational exposure, geographical location, reported season, and deprivation status Although passive surveillance data has limitations we have been able to identify that the New Zealand dairy farming population may benefit from a targeted awareness campaign.
钩端螺旋体病是一种被忽视的人畜共患病,在包括新西兰在内的大洋洲等热带和亚热带地区广泛传播。与其他高收入国家相比,新西兰钩端螺旋体病的发病率仍然很高,超过一半的通报患者需要住院治疗,而与住院相关的因素却知之甚少。本研究旨在利用被动监测数据估计钩端螺旋体病患者的住院风险因素:从新西兰法定疾病数据库中提取的1999年1月1日至2017年12月31日的通报数据。共有771名住院患者和673名非住院患者。采用多变量逻辑回归来确定风险因素。通报年份与住院显著正相关,调整后的比值比(adj.OR)为1.03(95%置信区间:1.01-1.05)。职业与住院显著相关,感染钩端螺旋体病的奶农的调整后住院几率是从事其他牲畜养殖的农民调整后住院几率的1.44倍(adj.OR 1.44,95%置信区间:1.02-2.02)。与波摩那型(adj.OR 1.14,95%置信区间:0.74-1.74)相比,哥本哈根型(adj.OR 5.96,95%置信区间:1.68-21.17)血清阳性更易导致住院。与巴伦型(基线)相比,哈德乔型(adj.OR 0.71,95%置信区间:0.49-1.01)和塔拉索维型(adj.OR 0.39,95%置信区间:0.23-0.66)血清阳性导致住院的可能性较小。所有估计值还针对性别、年龄、种族、报告的职业暴露、地理位置、报告的季节和贫困状况的影响进行了调整。尽管被动监测数据存在局限性,但我们已经能够确定新西兰奶农群体可能会从有针对性的宣传活动中受益。