Sahoo Krushna Chandra, Sahoo Soumyakanta, Marrone Gaetano, Pathak Ashish, Lundborg Cecilia Stålsby, Tamhankar Ashok J
Department of Public Health Sciences (Global health/IHCAR), Karolinska Institutet, Stockholm 17177, Sweden.
Department of Microbiology, Kalinga Institute of Medical Sciences (KIMS), Super Religare Laboratories Limited, Kalinga Hospital, Bhubaneswar 751024, India.
Int J Environ Res Public Health. 2014 Aug 29;11(9):8996-9007. doi: 10.3390/ijerph110908996.
Skin and soft tissue infections caused by Staphylococcus aureus (SA-SSTIs) including methicillin-resistant Staphylococcus aureus (MRSA) have experienced a significant surge all over the world. Changing climatic factors are affecting the global burden of dermatological infections and there is a lack of information on the association between climatic factors and MRSA infections. Therefore, association of temperature and relative humidity (RH) with occurrence of SA-SSTIs (n = 387) and also MRSA (n = 251) was monitored for 18 months in the outpatient clinic at a tertiary care hospital located in Bhubaneswar, Odisha, India. The Kirby-Bauer disk diffusion method was used for antibiotic susceptibility testing. Time-series analysis was used to investigate the potential association of climatic factors (weekly averages of maximum temperature, minimum temperature and RH) with weekly incidence of SA-SSTIs and MRSA infections. The analysis showed that a combination of weekly average maximum temperature above 33 °C coinciding with weekly average RH ranging between 55% and 78%, is most favorable for the occurrence of SA-SSTIs and MRSA and within these parameters, each unit increase in occurrence of MRSA was associated with increase in weekly average maximum temperature of 1.7 °C (p = 0.044) and weekly average RH increase of 10% (p = 0.097).
由金黄色葡萄球菌引起的皮肤和软组织感染(SA-SSTIs),包括耐甲氧西林金黄色葡萄球菌(MRSA),在全球范围内显著激增。不断变化的气候因素正在影响皮肤病感染的全球负担,并且缺乏关于气候因素与MRSA感染之间关联的信息。因此,在印度奥里萨邦布巴内斯瓦尔一家三级护理医院的门诊中,对温度和相对湿度(RH)与SA-SSTIs(n = 387)以及MRSA(n = 251)感染发生率之间的关联进行了为期18个月的监测。采用 Kirby-Bauer 纸片扩散法进行抗生素敏感性测试。时间序列分析用于研究气候因素(最高温度、最低温度和RH的每周平均值)与SA-SSTIs和MRSA感染每周发病率之间的潜在关联。分析表明,每周平均最高温度高于33°C且每周平均RH在55%至78%之间的组合,最有利于SA-SSTIs和MRSA的发生,在这些参数范围内,MRSA发生率每增加一个单位,每周平均最高温度升高1.7°C(p = 0.044),每周平均RH升高10%(p = 0.097)。