Correlation between detection rate of clindamycin-resistant Staphylococcus aureus and utilization of antibacterial drugs

Abstract

Abstract:

AIM: To provide information for reasonable clinical application of antibacterial drugs, the partial least squares (PLS) regression models were established for analyzing the correlation between detection rate of clindamycin-resistant Staphylococcus aureus (CRSA) and utilization of antibacterial drugs. METHODS: The PLS regression models were established with the defined daily doses (DDDs) of antibacterial drugs as independent variables and the detection rates of CRSA with same and different periods as dependent variables. The lag between detection rates of CRSA and utilization of antibacterial drugs were investigated. The antibacterial drugs, which were highly correlated with the detection rate of CRSA, were screened according to the variable importance (VIP) values. RESULTS: The detection rate of CRSA lagged about two quarters behind the utilization of antibacterial drugs, and was significantly positively correlated with the DDDs of cefoperazone/sulbactam, azithromycin and cefuroxime. CONCLUSION: It was effective to employ PLS regression algorithm to simultaneously analyze the correlation between detection rate of CRSA and utilization of multiple antibacterial drugs. This research provided a new scientific tool for the investigation of CRSA.

Key words: partial least squares regression, antibacterial drugs, defined daily doses, clindamycin-resistant Staphylococcus aureus

CLC Number:

R969

JIANG Cheng, LV Jiangang, LI Fangqiong, YE Zuowu, LU Chunfang, LI Gonghua. Correlation between detection rate of clindamycin-resistant Staphylococcus aureus and utilization of antibacterial drugs[J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2017, 22(4): 439-442.

References

［1］宋娟. 220株金黄色葡萄球菌中红霉素对克林霉素诱导耐药分析［J］. 国际检验医学杂志, 2014, 35(17): 2384-2385.
［2］郭娟, 刘旭华, 袁彩红, 等. 2012年医院感染病原菌分布及耐药性分析［J］. 中华医院感染学杂志, 2014, 24(24): 6015-6017.
［3］郭政次, 廖洪. 葡萄球菌对克林霉素诱导型耐药检测近敏感性实验分析［J］. 中国现代医学杂志, 2013, 23(27): 94-96.
［4］蒋程, 吕健刚, 辛传伟, 等. 2011-2014年革兰阳性菌的分布及耐药性变迁研究［J］. 中国现代应用药学, 2016, 33(4): 473-476.
［5］Cizman M, Srovin T, Pokorn M, et al. Analysis of the causes and consequences of decreased antibiotic consumption over the last 5 years in Slovenia［J］. J Antimicrob Chemoth, 2005, 55(5): 758-763.
［6］Mutnick AH, Rhomberg PR, Sader HS, et al. Antimicrobial usage and resistance trend relationships from the MYSTIC Programme in North America (1999-2001)［J］. J Antimicrob Chemoth, 2004, 53(2): 290-296.
［7］蔡惠惠, 王萍, 赵水娣, 等. 我院抗菌药使用与葡萄球菌耐药率变化的相关性分析［J］. 药物流行病学杂志, 2015, 24(1): 28-32.
［8］Jiang C, Liu Y, Qu HB. Data fusion strategy based on near infrared spectra and ultraviolet spectra for simultaneous determination of ginsenosides and saccharides in Chinese herbal injection［J］. Anal Methods, 2013, 5(17): 4467-4475.
［9］ Jiang C,Qu HB.A comparative study of using in-line near-infrared spectra, ultraviolet spectra and fused spectra to monitor Panax notoginseng adsorption process［J］.J Pharm Biomed Anal,2015,102:78-84.
［10］Han H, Zhang L, Zhang Y, et al. Rapid analysis of the in-process extract solutions of compound E Jiao oral liquid using near infrared spectroscopy and partial least-squares regression［J］. Anal Methods, 2013, 5(19): 5272-5278.
［11］Huang C, Tu S, Huang C, et al. Multiclass prediction with partial least square regression for gene expression data: applications in breast cancer intrinsic taxonomy［J］. Biomed Res Int, 2013, 2(1): 1-9.
［12］蒋程,吕健刚,韩冰,等.抗菌药物使用的多变量监控［J］.中国现代应用药学,2015,32(3):370-375.
［13］肖永红. 临床抗菌药物学［M］. 重庆: 重庆出版社, 2004:129.
［14］Chan CO, Chu CC, Mok DK, et al. Analysis of berberine and total alkaloid content in cortex phellodendri by near infrared spectroscopy (NIRS) compared with high-performance liquid chromatography coupled with ultra-visible spectrometric detection［J］. Anal Chim Acta, 2007, 592(2): 121-131.
［15］段金菊,尹冬虹,何志强,等.不同统计方法对1998-2010年鲍曼不动杆菌耐药率与抗菌药物使用相关性研究［J］.中国执业药师,2011,8(6):33-38.
［16］于勇. 病原菌耐药与抗菌药物使用的宏观量化关系［J］. 微生物学通报, 2006, 33(4): 186-189.
［17］蒋程, 吕健刚, 徐金波, 等. 基于PLS回归算法的MRSA检出率与抗菌药物使用相关性分析［J］. 中国临床药学杂志, 2017,26(1):19-23.

[1]	DANG Zilong, LIU Haiyang, ZHANG Yangfan, LIU Jinfeng, ZHANG Tianwei, LI Bin, GUO Hong, CHENG Wenyuan, XU Xiaohui, LI Yile, WEI Yuhui, WU Xin'an. Optimization strategy of antibiotic dosing regimen in intensive care unit patients with augmented renal clearance [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2023, 28(5): 561-571.
[2]	JIANG Cheng, LI Fangqiong, YE Zuowu, SUN Yunfeng, ZHANG Meiling, LI Gonghua . Correlation analysis between the detection rate of CR-KP and the utilization of antibacterial drugs based on PLSR algorithm [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2017, 22(8): 904-909.