Literature DB >> 31509040

Platelet count and mortality of H7N9 infected patients in Guangdong, China.

Ying Chen1,2, Yang Yang1, Jian Cheng2, Jiahai Lu1, Wenbiao Hu2.   

Abstract

Avian influenza A (H7N9) is a serve zoonosis with a high mortality rate. Timely and effective diagnosis and early warning is crucial for the clinical treatment of H7N9 patients. The previous studies indicated that thrombocytopenia was associated with the prognosis of influenza cases, but the related evidence of platelet change within the course of the disease remains largely insufficient. A total of 130 laboratory-confirmed H7N9 cases and their corresponding medical records from August 2013 to March 2015 were collected from 23 hospitals of 13 cities in Guangdong, China. The results indicated that there was a significant difference between the outcome of H7N9 cases and their average platelet count (PC) including maximum, minimum, range, admission and discharge/death of the PC value. Furthermore, we built a classification and regression tree (CART) model to predict the fatality rate which varied with average PC. There was a 7% chance for a mortality from H7N9 if PC was over 207.0 × 10^9/L, while there was a 46.3% chance of a mortality from H7N9 when PC was between 123.9 × 10^9/L and 207.0 × 10^9/L, and 81.3% chance of a mortality from H7N9 when PC was less than 123.9 × 10^9/L. This study demonstrates that using platelet count to predict the fatality of H7N9 is significant, and lower platelet counts of H7N9 patients were associated with higher risk of mortality of H7N9 patients, which may need to be taken into consideration when planning clinical treatment.

Entities:  

Keywords:  Avian influenza A (H7N9); CART; platelet count; predicting death

Mesh:

Year:  2019        PMID: 31509040     DOI: 10.1080/09537104.2019.1665639

Source DB:  PubMed          Journal:  Platelets        ISSN: 0953-7104            Impact factor:   3.862


  2 in total

1.  Thrombocytopenia predicts mortality in Chinese hemodialysis patients- an analysis of the China DOPPS.

Authors:  Xinju Zhao; Qingyu Niu; Liangying Gan; Fan Fan Hou; Xinling Liang; Zhaohui Ni; Xiaonong Chen; Yuqing Chen; Keith McCullough; Bruce Robinson; Li Zuo
Journal:  BMC Nephrol       Date:  2022-01-03       Impact factor: 2.388

2.  Change in patterns of hospitalization for influenza during COVID-19 surges.

Authors:  Sindhaghatta Venkatram; Anuhya Alapati; Arundhati Dileep; Gilda Diaz-Fuentes
Journal:  Influenza Other Respir Viruses       Date:  2021-08-23       Impact factor: 5.606

  2 in total

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