Comparison and Correlation of Magnetic Resonance Imaging and Clinical Severity in Nonhuman Immunodeficiency Virus Patients with Cryptococcal Infection of Central Nervous System

Background: The incidence of cryptococcal meningitis among immunocompetent patients increases, especially in China and imaging plays an important role. The current study was to find the correlation between magnetic resonance imaging (MRI) manifestation and clinical severity in nonhuman immunodeficie...

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Main Authors: Xue-Qin Li, Shuang Xia, Jian-Song Ji, Yong-Hua Tang, Mei-Zhu Zheng, Yong-Mei Li, Fei Shan, Zhi-Yan Lu, Jian Wang, Jin-Kang Liu, Hui-Juan Zhang, Yu-Xin Shi, Hong-Jun Li
Format: Article
Language:English
Published: Wolters Kluwer 2018-01-01
Series:Chinese Medical Journal
Subjects:
Online Access:http://www.cmj.org/article.asp?issn=0366-6999;year=2018;volume=131;issue=24;spage=2930;epage=2937;aulast=Li
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spelling doaj-2b29df6c6f424456802a5b2cd2e19d242020-11-25T00:45:20ZengWolters KluwerChinese Medical Journal0366-69992542-56412018-01-01131242930293710.4103/0366-6999.247201Comparison and Correlation of Magnetic Resonance Imaging and Clinical Severity in Nonhuman Immunodeficiency Virus Patients with Cryptococcal Infection of Central Nervous SystemXue-Qin LiShuang XiaJian-Song JiYong-Hua TangMei-Zhu ZhengYong-Mei LiFei ShanZhi-Yan LuJian WangJin-Kang LiuHui-Juan ZhangYu-Xin ShiHong-Jun LiBackground: The incidence of cryptococcal meningitis among immunocompetent patients increases, especially in China and imaging plays an important role. The current study was to find the correlation between magnetic resonance imaging (MRI) manifestation and clinical severity in nonhuman immunodeficiency virus patients with cryptococcal infection of central nervous system (CNS). Methods: A total of 65 patients with CNS cryptococcal infection from August 2014 to October 2016 were retrospectively included in this study. All the patients had MRI data and clinical data. The patients were divided into two groups according to whether the patients were confirmed with identifiable underlying disease. Comparison and correlation of MRI and clinical data in both groups were investigated using independent sample t- test, Chi-square test, Mann-Whitney test and Spearman rank correlation analysis. Results: In all 65 patients, 41 cases (41/65, 63.1%; Group 1) had normal immunity and 24 cases (24/65, 36.9%; Group 2) had at least one identifiable underlying disease. Fever, higher percentage of neutrophil (NEUT) in white blood cell (WBC), and increased cell number of cerebral spinal fluid (CSF) were much common in patients with underlying disease (Group 1 vs. Group 2: Fever: 21/41 vs. 21/24, χ2 = 8.715, P = 0.003; NEUT in WBC: 73.15% vs. 79.60%, Z = −2.370, P = 0.018; cell number of CSF: 19 vs. 200, Z = −4.298, P < 0.001; respectively). Compared to the patients with normal immunity, the lesions are more common in the basal ganglia among patients with identifiable underlying disease (Group 1 vs. Group 2: 20/41 vs. 20/24, χ2 = 7.636, P = 0.006). The number of the involved brain areas in patients with identifiable underlying disease were well correlated with the number of cells and pressure of CSF (r = −0.472, P = 0.031; r = 0.779, P = 0.039; respectively). Conclusions: With the increased number of the involved brain areas in patients with identifiable underlying disease, the body has lower immunity against the organism which might result in higher intracranial pressure and more severe clinical status.http://www.cmj.org/article.asp?issn=0366-6999;year=2018;volume=131;issue=24;spage=2930;epage=2937;aulast=LiCentral Nervous System; Clinical Status; Cryptococcal Meningitis; Immunity; Magnetic Resonance Imaging
collection DOAJ
language English
format Article
sources DOAJ
author Xue-Qin Li
Shuang Xia
Jian-Song Ji
Yong-Hua Tang
Mei-Zhu Zheng
Yong-Mei Li
Fei Shan
Zhi-Yan Lu
Jian Wang
Jin-Kang Liu
Hui-Juan Zhang
Yu-Xin Shi
Hong-Jun Li
spellingShingle Xue-Qin Li
Shuang Xia
Jian-Song Ji
Yong-Hua Tang
Mei-Zhu Zheng
Yong-Mei Li
Fei Shan
Zhi-Yan Lu
Jian Wang
Jin-Kang Liu
Hui-Juan Zhang
Yu-Xin Shi
Hong-Jun Li
Comparison and Correlation of Magnetic Resonance Imaging and Clinical Severity in Nonhuman Immunodeficiency Virus Patients with Cryptococcal Infection of Central Nervous System
Chinese Medical Journal
Central Nervous System; Clinical Status; Cryptococcal Meningitis; Immunity; Magnetic Resonance Imaging
author_facet Xue-Qin Li
Shuang Xia
Jian-Song Ji
Yong-Hua Tang
Mei-Zhu Zheng
Yong-Mei Li
Fei Shan
Zhi-Yan Lu
Jian Wang
Jin-Kang Liu
Hui-Juan Zhang
Yu-Xin Shi
Hong-Jun Li
author_sort Xue-Qin Li
title Comparison and Correlation of Magnetic Resonance Imaging and Clinical Severity in Nonhuman Immunodeficiency Virus Patients with Cryptococcal Infection of Central Nervous System
title_short Comparison and Correlation of Magnetic Resonance Imaging and Clinical Severity in Nonhuman Immunodeficiency Virus Patients with Cryptococcal Infection of Central Nervous System
title_full Comparison and Correlation of Magnetic Resonance Imaging and Clinical Severity in Nonhuman Immunodeficiency Virus Patients with Cryptococcal Infection of Central Nervous System
title_fullStr Comparison and Correlation of Magnetic Resonance Imaging and Clinical Severity in Nonhuman Immunodeficiency Virus Patients with Cryptococcal Infection of Central Nervous System
title_full_unstemmed Comparison and Correlation of Magnetic Resonance Imaging and Clinical Severity in Nonhuman Immunodeficiency Virus Patients with Cryptococcal Infection of Central Nervous System
title_sort comparison and correlation of magnetic resonance imaging and clinical severity in nonhuman immunodeficiency virus patients with cryptococcal infection of central nervous system
publisher Wolters Kluwer
series Chinese Medical Journal
issn 0366-6999
2542-5641
publishDate 2018-01-01
description Background: The incidence of cryptococcal meningitis among immunocompetent patients increases, especially in China and imaging plays an important role. The current study was to find the correlation between magnetic resonance imaging (MRI) manifestation and clinical severity in nonhuman immunodeficiency virus patients with cryptococcal infection of central nervous system (CNS). Methods: A total of 65 patients with CNS cryptococcal infection from August 2014 to October 2016 were retrospectively included in this study. All the patients had MRI data and clinical data. The patients were divided into two groups according to whether the patients were confirmed with identifiable underlying disease. Comparison and correlation of MRI and clinical data in both groups were investigated using independent sample t- test, Chi-square test, Mann-Whitney test and Spearman rank correlation analysis. Results: In all 65 patients, 41 cases (41/65, 63.1%; Group 1) had normal immunity and 24 cases (24/65, 36.9%; Group 2) had at least one identifiable underlying disease. Fever, higher percentage of neutrophil (NEUT) in white blood cell (WBC), and increased cell number of cerebral spinal fluid (CSF) were much common in patients with underlying disease (Group 1 vs. Group 2: Fever: 21/41 vs. 21/24, χ2 = 8.715, P = 0.003; NEUT in WBC: 73.15% vs. 79.60%, Z = −2.370, P = 0.018; cell number of CSF: 19 vs. 200, Z = −4.298, P < 0.001; respectively). Compared to the patients with normal immunity, the lesions are more common in the basal ganglia among patients with identifiable underlying disease (Group 1 vs. Group 2: 20/41 vs. 20/24, χ2 = 7.636, P = 0.006). The number of the involved brain areas in patients with identifiable underlying disease were well correlated with the number of cells and pressure of CSF (r = −0.472, P = 0.031; r = 0.779, P = 0.039; respectively). Conclusions: With the increased number of the involved brain areas in patients with identifiable underlying disease, the body has lower immunity against the organism which might result in higher intracranial pressure and more severe clinical status.
topic Central Nervous System; Clinical Status; Cryptococcal Meningitis; Immunity; Magnetic Resonance Imaging
url http://www.cmj.org/article.asp?issn=0366-6999;year=2018;volume=131;issue=24;spage=2930;epage=2937;aulast=Li
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