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Prognostic Factors for Severe Acute Respiratory Syndrome: A Clinical Analysis of 165 Cases

Identifieur interne : 005538 ( Main/Exploration ); précédent : 005537; suivant : 005539

Prognostic Factors for Severe Acute Respiratory Syndrome: A Clinical Analysis of 165 Cases

Auteurs : Zhengsheng Zou [République populaire de Chine] ; Yongping Yang [République populaire de Chine] ; Jumei Chen [République populaire de Chine] ; Shaojie Xin [République populaire de Chine] ; Wei Zhang [République populaire de Chine] ; Xianzhi Zhou [République populaire de Chine] ; Yuanli Mao [République populaire de Chine] ; Liangping Hu [République populaire de Chine] ; Daojian Liu [République populaire de Chine] ; Binxia Chang [République populaire de Chine] ; Weihua Chang [République populaire de Chine] ; Yanping Liu [République populaire de Chine] ; Xuemei Ma [République populaire de Chine] ; Yedong Wang [République populaire de Chine] ; Xiqing Liu [République populaire de Chine]

Source :

RBID : ISTEX:6FF2A0456DBCF673985B6E771A69A454C5D341F9

Abstract

This study analyzes single factors that affect the prognosis of severe acute respiratory syndrome (SARS) and establishes a prognosis model by multivariate analysis. We retrospectively analyzed the clinical features of SARS in 165 clinically confirmed severe cases. Both age and existence of other diseases before SARS were significantly correlated with prognosis (r = 0.506 and r = 0.457, respectively; P < .001). During the acute phase of SARS, lactate dehydrogenase level, degree of hypoxemia, respiratory rate, α-hydroxybutyric dehydrogenase level, creatine kinase isoenzyme—MB, platelet count, and number of involved lobes noted on chest radiographs, and so on, correlated markedly with the prognosis (r = 0.257–0.788; P < .05). The multivariate prognosis regression model was associated with degree of hypoxemia and platelet count. The model was defined by the formula Py=1 = es/(1 + es), where S is [2.490 × degree of hypoxemia]-[0.050 × number of platelets], and it had a high sensitivity (91.67%), specificity (98.33%), and accuracy (96.42%). The model could be used to effectively judge the state of illness and the prognosis.

Url:
DOI: 10.1086/380973


Affiliations:


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<div type="abstract">This study analyzes single factors that affect the prognosis of severe acute respiratory syndrome (SARS) and establishes a prognosis model by multivariate analysis. We retrospectively analyzed the clinical features of SARS in 165 clinically confirmed severe cases. Both age and existence of other diseases before SARS were significantly correlated with prognosis (r = 0.506 and r = 0.457, respectively; P < .001). During the acute phase of SARS, lactate dehydrogenase level, degree of hypoxemia, respiratory rate, α-hydroxybutyric dehydrogenase level, creatine kinase isoenzyme—MB, platelet count, and number of involved lobes noted on chest radiographs, and so on, correlated markedly with the prognosis (r = 0.257–0.788; P < .05). The multivariate prognosis regression model was associated with degree of hypoxemia and platelet count. The model was defined by the formula Py=1 = es/(1 + es), where S is [2.490 × degree of hypoxemia]-[0.050 × number of platelets], and it had a high sensitivity (91.67%), specificity (98.33%), and accuracy (96.42%). The model could be used to effectively judge the state of illness and the prognosis.</div>
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