Jae Hyon Park1, Hyeong Ju Byeon1, Keum Hwa Lee2, Jong Wook Lee3,4, Andreas Kronbichler5, Michael Eisenhut6, Jae Il Shin7. 1. Yonsei University College of Medicine, Seoul, Korea. 2. Institute of Kidney Disease Research, Department of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, 50 Yonsei-Ro, Seodaemun-gu, Seoul, 120-752, Korea. 3. Jincheon Sungmo Hospital, Jincheon, Korea. 4. Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Korea. 5. Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria. 6. Department of Pediatrics, Luton & Dunstable University Hospital NHS Foundation Trust, Luton, UK. 7. Institute of Kidney Disease Research, Department of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, 50 Yonsei-Ro, Seodaemun-gu, Seoul, 120-752, Korea. shinji@yuhs.ac.
Abstract
OBJECTIVE: Delta neutrophil index (DNI) representing the number of immature granulocytes is an emerging marker used in diagnosis of infections and prediction of mortality in infected patients. The present study evaluated the diagnostic accuracy of DNI as a predictive and prognostic factor in infected patients. METHODS: We performed a PubMed search on January 1st, 2017 and identified studies that evaluated DNI as either a predictive or prognostic factor in infected patients. Studies with appropriate information to construct 2 × 2 contingency tables were extracted. We calculated pooled sensitivity and specificity. Meta-analysis of the multivariate logistic regression data set was performed to assess whether DNI functions as an independent factor. RESULTS: Overall, 12 articles fulfilled the inclusion criteria and a total of 499 cases and 9549 controls were examined. As a predictive factor of infection, DNI's pooled sensitivity was 0.67 (95% CI 0.62-0.71, I 2 = 86.0%) and pooled specificity was 0.94 (95% CI 0.94-0.95, I 2 = 92.8%). Area under the receiver operating characteristics (ROC) curve was 0.89. As a prognostic factor for death in infected patients, DNI's pooled sensitivity was 0.70 (95% CI 0.56-0.81, I 2 = 0.0%) and pooled specificity was 0.78 (95% CI 0.73-0.83, I 2 = 26.6%). Area under the ROC curve was 0.84. Meta-analysis of the multivariate logistic regression data set showed insignificant results. CONCLUSIONS: DNI is a potentially useful diagnostic tool and predicts mortality among infected patients and should be more widely used in the clinical practice.
OBJECTIVE: Delta neutrophil index (DNI) representing the number of immature granulocytes is an emerging marker used in diagnosis of infections and prediction of mortality in infectedpatients. The present study evaluated the diagnostic accuracy of DNI as a predictive and prognostic factor in infectedpatients. METHODS: We performed a PubMed search on January 1st, 2017 and identified studies that evaluated DNI as either a predictive or prognostic factor in infectedpatients. Studies with appropriate information to construct 2 × 2 contingency tables were extracted. We calculated pooled sensitivity and specificity. Meta-analysis of the multivariate logistic regression data set was performed to assess whether DNI functions as an independent factor. RESULTS: Overall, 12 articles fulfilled the inclusion criteria and a total of 499 cases and 9549 controls were examined. As a predictive factor of infection, DNI's pooled sensitivity was 0.67 (95% CI 0.62-0.71, I 2 = 86.0%) and pooled specificity was 0.94 (95% CI 0.94-0.95, I 2 = 92.8%). Area under the receiver operating characteristics (ROC) curve was 0.89. As a prognostic factor for death in infectedpatients, DNI's pooled sensitivity was 0.70 (95% CI 0.56-0.81, I 2 = 0.0%) and pooled specificity was 0.78 (95% CI 0.73-0.83, I 2 = 26.6%). Area under the ROC curve was 0.84. Meta-analysis of the multivariate logistic regression data set showed insignificant results. CONCLUSIONS: DNI is a potentially useful diagnostic tool and predicts mortality among infectedpatients and should be more widely used in the clinical practice.
Authors: Yoon Jung Hwang; Sung Phil Chung; Yoo Seok Park; Hyun Soo Chung; Hye Sun Lee; Jong Woo Park; Jong Wook Lee; Jung Hwa Hong; Je Sung You; Incheol Park Journal: Am J Emerg Med Date: 2015-06-14 Impact factor: 2.469
Authors: Donald M Yealy; John A Kellum; David T Huang; Amber E Barnato; Lisa A Weissfeld; Francis Pike; Thomas Terndrup; Henry E Wang; Peter C Hou; Frank LoVecchio; Michael R Filbin; Nathan I Shapiro; Derek C Angus Journal: N Engl J Med Date: 2014-03-18 Impact factor: 91.245
Authors: Jesús F Bermejo-Martín; Eduardo Tamayo; Gema Ruiz; David Andaluz-Ojeda; Rubén Herrán-Monge; Arturo Muriel-Bombín; Maria Fe Muñoz; María Heredia-Rodríguez; Rafael Citores; José Gómez-Herreras; Jesús Blanco Journal: Crit Care Date: 2014-02-14 Impact factor: 9.097