Journal of Otolaryngology and Ophthalmology of Shandong University ›› 2019, Vol. 33 ›› Issue (5): 132-138.doi: 10.6040/j.issn.1673-3770.0.2018.603

• Meta-analysis • Previous Articles    

Meta analysis of the nasal cavity bacterial culture in chronic rhinosinusitis

Shujing HAN1,Jie LU1,Ping CHU1,Lixing TANG2,Huiwen ZHENG1,Xiaojian YANG2,Wei ZHANG2,Pengpeng WANG2,Jie ZHANG2,Yongli GUO1,Wentong GE1,2()   

  1. 1. Beijing Key Laboratory for Pediatric Diseases of Otolaryngology Head and Neck Surgery, Beijing Pediatric Research Institute, Beijing Children′s Hospital, Capital Medical University, National Center for Children′s Health (NCCH), Beijing 100045，China
    2. Department of Otolaryngology Head and Neck Surgery, Beijing Children′s Hospital, Capital Medical University, National Center for Children′s Health (NCCH), Beijing 100045，China
  • Received:2018-12-11 Revised:2019-05-07 Online:2019-09-20 Published:2019-10-15
  • Contact: Wentong GE E-mail:gewentong@bch.com.cn

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Abstract: Objective

To clarify the bacterial distribution in the nasal cavity of patients with chronic rhinosinusitis and provide a basis for the diagnosis and treatment of Chronic Rhinosinusitis (CRS).

Methods

PubMed, EMBASE, MEDLINE, CNKI, VIP Information and Wanfang data were searched for studies on the nasal cavity bacterial culture in CRS. Search strategy: chronic rhinosinusitis AND (microbio* OR bacteria OR virus); Chinese retrieval (rhinosinusitis) AND (microecology OR bacteria OR virus).

 Results

Totally, 2141 cases of CRS were included in 20 studies. The pooled positive rates of Staphylococcus aureus, S. epidermidis, Streptococcus pneumoniae, Pseudomonas aeruginosa and Haemophilus influenzae were 0.24(95%CI: 0.17 ~ 0.31), 0.17(95%CI: 0.11 ~ 0.23), 0.06(95%CI: 0.02 ~ 0.11), 0.09(95%CI: 0.05 ~ 0.14), and 0.09(95%CI: 0.03 ~ 0.15), respectively.

 Conclusion

S. aureus and S. epidermidis are the main pathogenic bacteria present in the nasal cavity of CRS patients, followed by S. pneumoniae, P. aeruginosa, and H. influenzae.

Key words: Chronic rhinosinusitis, Bacteria culture, Meta analysis

CLC Number: 

  • R765.4

Table 1

Summary of data incorporated into the literature on bacterial distribution"

作者 发表时间(年) 国家 样本量(例) 男(例) 年龄(岁) 取样部位 金黄色葡萄球菌 肺炎链球菌 表面葡萄球菌 卡他莫拉菌 铜绿假单胞杆菌 CNS 流感嗜血杆菌 大肠埃希菌 奇异变形杆菌 甲型链球菌 肺炎克雷伯菌
Araujo E等[4] 2007 Brazil 134 NA NA 中鼻道 53 22 19 13 10 — — — — — —
Bro?ekm?dry等[11] 2012 Poland 64 NA 5-18 中鼻道 33 2 — 7 — 35 11 — — — —
Busaba等[12] 2004 USA 179 74 NA 中鼻道 33 7 — 5 9 8 8 — — —
Chan 等[13] 2001 USA 83 NA NA 中鼻道 2 10 — 8 6 26 21 — — — —
Cleland 等[14] 2013 Australia 513 280 51

鼻腔黏液、

黏膜

 178 26 — 10 44 — — 23 19 — —
Feazel 等[15] 2012 USA 15 5 45 中鼻道 10 — — — — 15 — — — 18 —
Jiang等[16] 2015 USA 105 46 46.3 中鼻道 31 6 6 — 25 — — 6 — — 15
Mantovani等[17] 2010 Brazil 62 30 45 上颌窦 4 3 4 — 8 — — 1 2 — 15
Niederfuhr等[18] 2009 Germany 13 9 49 鼻腔灌洗液 1 2 — — — 12 4 1 — — —
Rombaux等[19] 2005 Belgium 176 NA NA 中鼻道 37 5 — — — — 7 11 — — —
Stokken等[20] 2014 USA 41 29 11.8 中鼻道 8 4 — — 1 9 2 — — —
Walgama等[21] 2013 USA 49 20 49.2 中鼻道 22 1 — — 15 1 3 — — —
李军等[22] 2016 China 175 104 43 上颌窦及筛窦 26 1 41 — 6 6 — 1 1 — —
魏洪政等[23] 2017 China 125 85 45.5 中鼻道 13 — 25 — 9 40 4 1 — — —
张太等[24] 2016 China 63 40 46.25 中鼻道 6 — 6 — — — — 3 1 — —
何文霞等[25] 2015 China 100 56 32.6 上颌窦 — — 22 — 6 — — 10 — — —
王士杰等[26] 2015 China 43 28 45.2 中鼻道 4 2 6 — 5 — 2 1 — — —
肖立志等[27] 2011 China 51 27 44 鼻腔黏液 1 1 17 — 2 — — — — — —
张永兰等[28] 2015 China 63 39 47 中鼻道 6 — 4 — — — — 3 1 — —
林华等[29] 2015 China 87 49 44.6 鼻腔分泌物 23 12 15 — — — 10 5 — — —

Table 2

Summary of data incorporated into the literature on virus distribution"

作者 发表时间(年) 国家 样本量(例) 男(例) 年龄(岁) 取样部位 检测方法 鼻病毒 呼吸道合胞病毒 流感病毒A和B群 副流感病毒
Abshirini等[30] 2015 IR Iran 76 48 44.3 鼻腔黏液 qPCR 28 15 — —
Cho等[31] 2013 Republic of Korea 111 67 72.8 鼻腔灌洗液 qPCR 29 12 15 26
Liao等[32] 2014 China 61 44 28 中鼻道黏膜 qPCR — 5 22 18

Fig.1

Forest plot of the positive rate of Staphylococcus aureus "

Fig.2

Forest plot of the positive rate of Staphylococcus epidermidis"

Fig.3

Forest plot of the positive rate of Streptococcus pneumoniae "

Fig.4

Forest plot of the positive rate of Pseudomonas aeruginosa"

Fig.5

Forest plot of the positive rate of Haemophilus influenzae"

Fig.6

Funnel plot of potential publication bias of Staphylococcus aureus studies"

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