A Systematic Review of Procalcitonin for Early Detection of Septicemia of Newborn

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1 56 [ ] (009) Journal of Tropical Medicine Vol.9 No.3 Mar.009 * ( ) (PCT) CNKI VIP PCT QUADAS Metadisc1.4 DOR (SROC) SROC (AUC) Review Manager5 Meta 8 ; 7 8 (χ =3.8P=0.858I =0.0%) AUC ;7 (χ =3.4P=0.779I =0.0%) AUC PCT ; ; ; :R7.131 :A A Systematic Review of Procalcitonin for Early Detection of Septicemia of Newborn WANG Feng-ping LIU Fei WANG Qian QIU Yu-rong RUI Yong-yu * (Department of Clinical Laboratory Nanfang Hospital Southern Medical University Guangzhou China) Abstract Objective To evaluate the diagnostic value of procalcitonin for early detection of septicemia of newborn. Methods Information concerning the use of procalcitonin for early detection of septicemia was collected from CNKI and VIP database. Two different standards were used in this study. The quality of the studies was assessed using the QUADAS tool. Heterogeneity sensitivity specificity positive likelihood ratio negative likelihood ratio and the area under the SROC (AUC) were analyzed by the software of Metadisc1.4 and Review Manager5. Results According to the Standard One eight studies were included in the analysis and there was no significant difference among these 8 studies (χ =3.8P=0.858I =0.0%). In these eight studies the pooled sensitivity was pooled specificity was and the area under the SROC was According to the Standard Two seven studies were included in the analysis and there was no significant difference among these 7 studies (χ =3.4P=0.779I =0.0%). In these seven studies the pooled sensitivity was pooled specificity was and the area under the SROC was Conclusion In this systematic review the diagnostic value of the procalcitonin is high and it can be a good indicator for the early diagnosis of the septicemia of newborn. Key words procalcitonin; newborn; septicemia; systematic review [1-3] C (C- reactive proteincrp) [ 4 ] ( procalcitonin :(1983-) : * : yongyurui@tom. com PCT)199 [5] (CT)N [6 ] [7] (~3 h ) PCT 0~4 h

2 PCT (SROC) 1.7 [10] MetaDiSc1.4 (DOR) 0.1I 1 I <5% 5% I 50% I [11] >50% ; ( ) () Moses Review Manager5 Meta Meta PCT 97 [61-18] ; 8 (1) 1 ( 8 d ); ( ) ( ) ( ) (n=44) 1 ; ;3 : : (n=37) : (n=7) 1.3 (CNKI) (1999.1~ 008.4) ( )(VIP)(1989.1~ Fig ) : PCT. 8 [1 17] : ( PCT ) ( 6 [ ] ) NCKI VIP (n=97) (n=53) (n=36) : (n=8) PCT [6 1-18] [61-18] QUADAS (quality assessment [61-18] 8 8 [61-18] 8 of diagnostic accuracy studies) ( [89] 1) % The screening process of the including studies

3 58 Journal of Tropical Medicine Vol.9 No.3 Mar.009 Tab () The characteristics of included studies (standard one) 007 [6] 006 [1] 004 [13] 003 [14] 007 [15] 005 [16] 004 [17] 004 [18] (ng / ml) DOR (TP) (FP) (FN) (TN) PCT-Q BRAHMS PCT-Q BRAHMS PCT-Q BRAHMS PCT-Q BRAHMS PCT-Q BRAHMS PCT-Q BRAHMS PCT-Q BRAHMS PCT-Q BRAHMS :PCT-Q Fig % (1) %66.7% 100%..3 3 (8913) % %.4 Meta.3 Meta [ ] ()QUADAS Quality assessment results of the 8 studies(standard one) by QUADAS.3. 8 ) (χ =3.8P=0.858I =0.0% ) DOR [95% CI ( )] Meta 7 (χ =3.4P=0.779I = [95% CI ( )] [95%CI ( )] (χ =.91P=0.00I =69.5% );SROC (AUC) SE(AUC)=0.0063(3) DOR (χ =34.74P=0.000I =79.9%); [95% CI [95%CI ( )] ( )] [95% CI (0.900 (χ =1.83P=0.076I =45.4%); 0.971)] 1.79[95%CI( )] [95%CI ( )] [95%CI ( )]AUC (χ =5.30P =0.64I =0.0% ); SE(AUC)=0.0151(4) 1 Sensitivity SROC Curve specificity 3 8 ()SROC Fig.3 SROC for the 8 studies (standard one) 7 ( 7 Meta 0.0%) DOR 96.4 Symmetric SROC AUC = SE (AUC ) = Q * = SE (Q * ) = [95% CI( )]

4 Tab. 7 () The characteristics of included studies (standard two) 007 [6] 006 [1] 004 [13] 003 [14] 006 [19] 005 [0] 003 [1] (ng / ml) DOR (TP) (FP) (FN) (TN) PCT-Q BRAHMS PCT-Q BRAHMS PCT-Q BRAHMS PCT-Q BRAHMS PCT-Q BRAHMS Diagnostica BRAHMS :PCT-Q Sensitivity SROC Curve 1.0 Symmetric SROC 0.9 AUC = SE (AUC ) = Q * = SE (Q * ) = specificity 4 7 ()SROC Fig.4 SROC for the 7 studies (standard two) AUC ( 3); CRP ; AUC (4) CRP CRP [] : ; PCT ( ) ( ) () PCT PCT PCT AUC PCT [5] ; 3 3. PCT DOR SROC PCT AUC PCT PCT PCT PCT PCT PCT 3.3 Meta Meta PCT 3.4 ; PCT ;

5 60 Journal of Tropical Medicine Vol.9 No.3 Mar.009 [10] Zamora J Abraira V Muriel A et al. Meta-DiSc: a software for meta-analysis of test accuracy data[j]. BMC Med Res Methodol 0066(1):31. [11]. [J]. 0077(4): [1]. [J] (8):53. ( : [13]. -1! ) [J] (9): [ ] [14]. [J]. [1] [] [3] [4] [5] [6] [7] [8] [9]. BacT_A1ert [J]. 008 [15]. 30(1): [J]. 0075(6):449.. VersaTREK [16]. CRP IL-6 [J]. 0074(9): [J] (10 ) : [J] (3): [17].. [J]. [J ] ( ) : 00411(5): [J]. [18] (1):4-7. [J] (5): C [19]. [J]. 0079(3): [J].. (PCT) [J]. 0061(15): (6):51-5. [0]. C Penny W Anne WS Johannes BR et al. QUADAS [J]. 0050(3):50-5. : [J]. [1]. [J]. 0077(4): Penny FW Marie EW Anne WS et al. QUADAS : [] ( ) [J]. 0077(7): (1): (): [J] (1): ( : ; : )!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! (48 ) (1): site immunoradiometric assay for dimeric inhibin using [10] Robertson DM Stephenson T Pruysers E et al. antibodies against chemically synthesized fragments of the Characterization of inhibin forms and their measurement by an alpha and beta subunit[j]. Endocrinology :R9-1. inhiibin alpha-subunit ELISA in serum frompostmenopausal [13] Lambert-Messerlian G Bandera C Eklund E et al. Very women with ovarian cancer [J]. J Clin Endocrinol Metab high inhibin A concentration attributed to heterophilic 0087(): antibody interference[j]. Clin Chem 00753(4): [11] Robertson DM Giacometti M Foulds LM et al. Isolation of [14] Pearson WR Wood T Zhang Z et al. Comparison of DNA inhibin alpha-subunit precursor proteins from bovine follicular sequences with protein sequences [J]. Genomics fluid[j]. Endocrinology : (1):4-36. [1] Knight PG Groome NP Beard Al. Development of a two- ( : ; : )

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