Article(id=1200023153599672566, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1200023152219746543, articleNumber=null, orderNo=null, doi=10.11855/j.issn.0577-7402.2153.2023.0410, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1665936000000, receivedDateStr=2022-10-17, revisedDate=null, revisedDateStr=null, acceptedDate=1670256000000, acceptedDateStr=2022-12-06, onlineDate=1764037415168, onlineDateStr=2025-11-25, pubDate=1698422400000, pubDateStr=2023-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1764037415168, onlineIssueDateStr=2025-11-25, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1764037415168, creator=13701087609, updateTime=1764037415168, updator=13701087609, issue=Issue{id=1200023152219746543, tenantId=1146029695717560320, journalId=1189873630562394117, year='2023', volume='48', issue='10', pageStart='1115', pageEnd='1236', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1764037414841, creator=13701087609, updateTime=1764038706792, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1200028571126301693, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1200023152219746543, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1200028571126301694, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1200023152219746543, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1180, endPage=1185, ext={EN=ArticleExt(id=1200023153876496636, articleId=1200023153599672566, tenantId=1146029695717560320, journalId=1189873630562394117, language=EN, title=Clinical diagnostic value of peripheral white blood cell count and neutrophil-to-lymphocyte ratio in obesity with gastroesophageal reflux disease, columnId=1190310109000602400, journalTitle=Medical Journal of Chinese People’s Liberation Army, columnName=Clinical Research, runingTitle=null, highlight=null, articleAbstract=

Objective To investigate the clinical diagnostic value of peripheral white blood cell count (WBC) and neutrophil-to-lymphocyte ratio (NLR) in obesity with gastroesophageal reflux disease (GERD). Methods The clinical data of 118 patients of obesity admitted to People's Hospital of Xinjiang Uygur Autonomous Region from January 2020 to January 2022 were retrospectively analyzed. Based on the medical history and examination results, the patients were divided into obesity with GERD group (n=57) and obesity without GERD group (n=61). Univariate and multivariate logistic regression were used to analyze the risk factors of obesity combined with GERD. Receiver operating characteristic (ROC) curve was used to evaluate the clinical diagnostic value of peripheral WBC and NLR testing alone vs. combined testing for obesity combined with GERD. Results The obesity with GERD group had a higher proportion of smoking history (31.6% vs. 14.8%, P=0.030), family history of GERD (43.9% vs. 24.6%, P=0.027), and WBC of peripheral blood [(10.25±1.81)×109/L vs. (8.72±2.11)×109/L, P<0.001], NLR (3.55±0.71 vs. 3.00±0.64, P<0.001), and fasting plasma glucose [(6.39±2.21) mmol/L vs. (5.76±0.85) mmol/L, P=0.041] were higher in obesity without GERD group. The results of multivariate logistic regression analysis showed that peripheral WBC and NLR were independent risk factors for the obesity combined with GERD (P<0.05). ROC curve analysis showed that peripheral WBC (AUC=0.707) and NLR (AUC=0.722) had high clinical diagnostic values for obesity combined with GERD (P<0.001), and the combination of them improved the diagnostic efficacy (AUC=0.786). Conclusion Peripheral WBC and NLR are independent risk factors for the obesity combined with GERD, and are of great diagnostic value for obesity combined with GERD, and the combination of the two can improve the diagnostic efficacy and have a certain clinical value.

, correspAuthors=Kelimu·Abudureyimu, authorNote=null, correspAuthorsNote=
E-mail:
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目的 探讨外周血白细胞计数(WBC)和中性粒细胞与淋巴细胞比值(NLR)对肥胖症合并胃食管反流病(GERD)的临床诊断价值。方法 回顾性分析2020年1月-2022年1月新疆维吾尔自治区人民医院收治的118例肥胖症患者的临床资料。根据病史及检查结果分为肥胖症合并GERD组(n=57)与未合并GERD组(n=61)。采用单因素和多因素logistic回归分析肥胖症合并GERD的危险因素。采用受试者工作特征(ROC)曲线评估外周血WBC和NLR单独与联合检测对肥胖症合并GERD的临床诊断价值。结果 合并GERD组吸烟史(31.6% vs. 14.8%,P=0.030)、GERD家族史(43.9% vs. 24.6%,P=0.027)占比,外周血WBC[(10.25±1.81)×109/L vs. (8.72±2.11)×109/L,P<0.001]、NLR(3.55±0.71 vs. 3.00±0.64,P<0.001),以及空腹血糖[(6.39±2.21) mmol/L vs. (5.76±0.85) mmol/L,P=0.041]均高于未合并GERD组。多因素logistic回归分析结果显示,外周血WBC和NLR是肥胖症合并GERD的独立危险因素(P<0.05)。ROC曲线分析显示,外周血WBC(AUC=0.707)和NLR(AUC=0.722)对肥胖症合并GERD具有较高的临床诊断价值(P<0.001),且两者联合能够提高诊断效能(AUC=0.786)。结论 外周血WBC和NLR是肥胖症合并GERD的独立危险因素,对肥胖症合并GERD具有较高的诊断价值,两者联合能够提高诊断效能,具有一定的临床应用价值。

, correspAuthors=克力木·阿不都热依木, authorNote=null, correspAuthorsNote=
克力木·阿不都热依木,E-mail:
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黎鑫,博士研究生,主要从事减重代谢外科与胃食管反流疾病方面的研究

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黎鑫,博士研究生,主要从事减重代谢外科与胃食管反流疾病方面的研究

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黎鑫,博士研究生,主要从事减重代谢外科与胃食管反流疾病方面的研究

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tableContent=null), ArticleFig(id=1200061227612340492, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1200023153599672566, language=CN, label=图1, caption=WBC和NLR单独与联合检测诊断肥胖症合并GERD的ROC曲线

GERD. 胃食管反流病;WBC. 白细胞计数;NLR. 中性粒细胞与淋巴细胞比值

, figureFileSmall=tYcEevjTZiTJfKCktbMOjA==, figureFileBig=PryQmgcP1qPoReXIxgi35A==, tableContent=null), ArticleFig(id=1200061227754946832, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1200023153599672566, language=EN, label=Tab.1, caption=

Comparison of clinical data of two groups of obese patients

, figureFileSmall=null, figureFileBig=null, tableContent=
项目未合并GERD组(n=61)合并GERD组(n=57)t/χ2P
年龄(岁, $\bar{x}±s$)35.0±10.037.0±11.0-1.0430.299
性别[例(%)]1.5500.213
19(31.1)12(21.1)
42(68.9)45(78.9)
术前BMI(kg/m2, $\bar{x}±s$)40.24±5.2340.47±4.08-0.2570.798
合并症[例(%)]0.7160.397
18(29.5)21(36.8)
43(70.5)36(63.2)
高血压[例(%)]12(19.7)11(19.3)0.0030.959
糖尿病[例(%)]13(21.3)14(24.6)0.1760.675
吸烟史[例(%)]9(14.8)18(31.6)4.7270.030
饮酒史[例(%)]11(18.0)12(21.1)0.1710.679
文化程度[例(%)]0.0750.784
大专以下21(34.4)21(36.8)
大专及以上40(65.6)36(63.2)
家庭年收入(万元, $\bar{x}±s$)7.36±2.678.09±3.25-1.3420.182
家族史[例(%)]25(41.0)25(43.9)0.1000.752
肥胖家族史[例(%)]20(32.8)16(28.1)0.3090.578
GERD家族史[例(%)]15(24.6)25(43.9)4.8830.027
WBC(×109/L, $\bar{x}±s$)8.72±2.1110.25±1.81-4.219<0.001
NLR($\bar{x}±s$)3.00±0.643.55±0.71-4.393<0.001
空腹血糖(mmol/L, $\bar{x}±s$)5.76±0.856.39±2.21-2.0680.041
三酰甘油(mmol/L, $\bar{x}±s$)2.01±0.472.07±0.41-0.7410.460
), ArticleFig(id=1200061227822055703, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1200023153599672566, language=CN, label=表1, caption=

两组肥胖症患者的临床资料比较

, figureFileSmall=null, figureFileBig=null, tableContent=
项目未合并GERD组(n=61)合并GERD组(n=57)t/χ2P
年龄(岁, $\bar{x}±s$)35.0±10.037.0±11.0-1.0430.299
性别[例(%)]1.5500.213
19(31.1)12(21.1)
42(68.9)45(78.9)
术前BMI(kg/m2, $\bar{x}±s$)40.24±5.2340.47±4.08-0.2570.798
合并症[例(%)]0.7160.397
18(29.5)21(36.8)
43(70.5)36(63.2)
高血压[例(%)]12(19.7)11(19.3)0.0030.959
糖尿病[例(%)]13(21.3)14(24.6)0.1760.675
吸烟史[例(%)]9(14.8)18(31.6)4.7270.030
饮酒史[例(%)]11(18.0)12(21.1)0.1710.679
文化程度[例(%)]0.0750.784
大专以下21(34.4)21(36.8)
大专及以上40(65.6)36(63.2)
家庭年收入(万元, $\bar{x}±s$)7.36±2.678.09±3.25-1.3420.182
家族史[例(%)]25(41.0)25(43.9)0.1000.752
肥胖家族史[例(%)]20(32.8)16(28.1)0.3090.578
GERD家族史[例(%)]15(24.6)25(43.9)4.8830.027
WBC(×109/L, $\bar{x}±s$)8.72±2.1110.25±1.81-4.219<0.001
NLR($\bar{x}±s$)3.00±0.643.55±0.71-4.393<0.001
空腹血糖(mmol/L, $\bar{x}±s$)5.76±0.856.39±2.21-2.0680.041
三酰甘油(mmol/L, $\bar{x}±s$)2.01±0.472.07±0.41-0.7410.460
), ArticleFig(id=1200061227935301915, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1200023153599672566, language=EN, label=Tab.2, caption=

Multivariate logistic regression analysis of obesity combined with GERD

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因素βSEWald χ2POR95%CI
吸烟史0.5750.5591.0570.3041.7780.594~5.322
GERD家族史0.6580.4691.9720.1601.9320.771~4.842
WBC0.3990.12010.9760.0011.4911.177~1.888
NLR1.2070.36011.2360.0013.3441.651~6.775
空腹血糖0.3330.1713.8020.0511.3950.998~1.949
), ArticleFig(id=1200061228019187998, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1200023153599672566, language=CN, label=表2, caption=

肥胖症合并GERD的多因素logistic回归分析

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因素βSEWald χ2POR95%CI
吸烟史0.5750.5591.0570.3041.7780.594~5.322
GERD家族史0.6580.4691.9720.1601.9320.771~4.842
WBC0.3990.12010.9760.0011.4911.177~1.888
NLR1.2070.36011.2360.0013.3441.651~6.775
空腹血糖0.3330.1713.8020.0511.3950.998~1.949
), ArticleFig(id=1200061228216320293, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1200023153599672566, language=EN, label=Tab.3, caption=

The value of WBC and NLR detection alone and jointly in the diagnosis of obesity complicated with GERD

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指标AUC(95%CI)SEP截断值a敏感度(%)特异度(%)
WBC0.707(0.614~0.800)0.048<0.00110.2866.770.5
NLR0.722(0.630~0.814)0.047<0.0013.0884.252.5
WBC联合NLRb0.786(0.705~0.867)0.041<0.0010.5570.275.4
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WBC和NLR单独与联合检测诊断肥胖症合并GERD的价值

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指标AUC(95%CI)SEP截断值a敏感度(%)特异度(%)
WBC0.707(0.614~0.800)0.048<0.00110.2866.770.5
NLR0.722(0.630~0.814)0.047<0.0013.0884.252.5
WBC联合NLRb0.786(0.705~0.867)0.041<0.0010.5570.275.4
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外周血WBCNLR对肥胖症合并胃食管反流病的临床诊断价值
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黎鑫 1, 2 , 艾克拜尔·艾力 1, 3, 4 , 阿力木江·麦斯依提 1 , 伊比提哈尔·买买提艾力 1 , 克力木·阿不都热依木 1, 3, 4, *
解放军医学杂志 | 临床研究 2023,48(10): 1180-1185
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解放军医学杂志 | 临床研究 2023, 48(10): 1180-1185
外周血WBCNLR对肥胖症合并胃食管反流病的临床诊断价值
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黎鑫1, 2, 艾克拜尔·艾力1, 3, 4, 阿力木江·麦斯依提1, 伊比提哈尔·买买提艾力1, 克力木·阿不都热依木1, 3, 4, *
作者信息
  • 1新疆维吾尔自治区人民医院微创、疝与腹壁外科,新疆乌鲁木齐 830011
  • 2新疆医科大学研究生院,新疆乌鲁木齐 830054
  • 3新疆维吾尔自治区普外微创研究所,新疆乌鲁木齐 830011
  • 4新疆维吾尔自治区胃食管反流病及减重代谢外科临床研究中心,新疆乌鲁木齐 830011
  • 黎鑫,博士研究生,主要从事减重代谢外科与胃食管反流疾病方面的研究

通讯作者:

克力木·阿不都热依木,E-mail:
Clinical diagnostic value of peripheral white blood cell count and neutrophil-to-lymphocyte ratio in obesity with gastroesophageal reflux disease
Xin Li1, 2, Aikebaier·Aili1, 3, 4, Alimujiang·Maisiyiti1, Yibitihaer·Maimaitiaili1, Kelimu·Abudureyimu1, 3, 4, *
Affiliations
  • 1Department of Minimally Invasive, Hernia and Abdominal Surgery, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, Xinjiang Uygur Autonomous Region 830011, China
  • 2Graduate School, Xinjiang Medical University, Ürümqi, Xinjiang Uygur Autonomous Region 830054, China
  • 3Institute of General Surgery and Minimally Invasive Surgery, Ürümqi, Xinjiang Uygur Autonomous Region 830011, China
  • 4Clinical Research Center for Gastroesophageal Reflux Disease and Weight Loss and Metabolic Surgery, Ürümqi, Xinjiang Uygur Autonomous Region 830011, China
出版时间: 2023-10-28 doi: 10.11855/j.issn.0577-7402.2153.2023.0410
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目的 探讨外周血白细胞计数(WBC)和中性粒细胞与淋巴细胞比值(NLR)对肥胖症合并胃食管反流病(GERD)的临床诊断价值。方法 回顾性分析2020年1月-2022年1月新疆维吾尔自治区人民医院收治的118例肥胖症患者的临床资料。根据病史及检查结果分为肥胖症合并GERD组(n=57)与未合并GERD组(n=61)。采用单因素和多因素logistic回归分析肥胖症合并GERD的危险因素。采用受试者工作特征(ROC)曲线评估外周血WBC和NLR单独与联合检测对肥胖症合并GERD的临床诊断价值。结果 合并GERD组吸烟史(31.6% vs. 14.8%,P=0.030)、GERD家族史(43.9% vs. 24.6%,P=0.027)占比,外周血WBC[(10.25±1.81)×109/L vs. (8.72±2.11)×109/L,P<0.001]、NLR(3.55±0.71 vs. 3.00±0.64,P<0.001),以及空腹血糖[(6.39±2.21) mmol/L vs. (5.76±0.85) mmol/L,P=0.041]均高于未合并GERD组。多因素logistic回归分析结果显示,外周血WBC和NLR是肥胖症合并GERD的独立危险因素(P<0.05)。ROC曲线分析显示,外周血WBC(AUC=0.707)和NLR(AUC=0.722)对肥胖症合并GERD具有较高的临床诊断价值(P<0.001),且两者联合能够提高诊断效能(AUC=0.786)。结论 外周血WBC和NLR是肥胖症合并GERD的独立危险因素,对肥胖症合并GERD具有较高的诊断价值,两者联合能够提高诊断效能,具有一定的临床应用价值。

外周血白细胞计数  /  中性粒细胞与淋巴细胞比值  /  肥胖症  /  胃食管反流病  /  临床诊断价值

Objective To investigate the clinical diagnostic value of peripheral white blood cell count (WBC) and neutrophil-to-lymphocyte ratio (NLR) in obesity with gastroesophageal reflux disease (GERD). Methods The clinical data of 118 patients of obesity admitted to People's Hospital of Xinjiang Uygur Autonomous Region from January 2020 to January 2022 were retrospectively analyzed. Based on the medical history and examination results, the patients were divided into obesity with GERD group (n=57) and obesity without GERD group (n=61). Univariate and multivariate logistic regression were used to analyze the risk factors of obesity combined with GERD. Receiver operating characteristic (ROC) curve was used to evaluate the clinical diagnostic value of peripheral WBC and NLR testing alone vs. combined testing for obesity combined with GERD. Results The obesity with GERD group had a higher proportion of smoking history (31.6% vs. 14.8%, P=0.030), family history of GERD (43.9% vs. 24.6%, P=0.027), and WBC of peripheral blood [(10.25±1.81)×109/L vs. (8.72±2.11)×109/L, P<0.001], NLR (3.55±0.71 vs. 3.00±0.64, P<0.001), and fasting plasma glucose [(6.39±2.21) mmol/L vs. (5.76±0.85) mmol/L, P=0.041] were higher in obesity without GERD group. The results of multivariate logistic regression analysis showed that peripheral WBC and NLR were independent risk factors for the obesity combined with GERD (P<0.05). ROC curve analysis showed that peripheral WBC (AUC=0.707) and NLR (AUC=0.722) had high clinical diagnostic values for obesity combined with GERD (P<0.001), and the combination of them improved the diagnostic efficacy (AUC=0.786). Conclusion Peripheral WBC and NLR are independent risk factors for the obesity combined with GERD, and are of great diagnostic value for obesity combined with GERD, and the combination of the two can improve the diagnostic efficacy and have a certain clinical value.

peripheral white blood cell count  /  neutrophil-to-lymphocyte ratio  /  obesity  /  gastroesophageal reflux disease  /  clinical diagnostic value
黎鑫, 艾克拜尔·艾力, 阿力木江·麦斯依提, 伊比提哈尔·买买提艾力, 克力木·阿不都热依木. 外周血WBCNLR对肥胖症合并胃食管反流病的临床诊断价值. 解放军医学杂志, 2023 , 48 (10) : 1180 -1185 . DOI: 10.11855/j.issn.0577-7402.2153.2023.0410
Xin Li, Aikebaier·Aili, Alimujiang·Maisiyiti, Yibitihaer·Maimaitiaili, Kelimu·Abudureyimu. Clinical diagnostic value of peripheral white blood cell count and neutrophil-to-lymphocyte ratio in obesity with gastroesophageal reflux disease[J]. Medical Journal of Chinese People’s Liberation Army, 2023 , 48 (10) : 1180 -1185 . DOI: 10.11855/j.issn.0577-7402.2153.2023.0410
肥胖症是由脂肪组织过度膨胀引起体重增加的慢性疾病[1]。除能量摄入与消耗不平衡外,基因、生活环境、社会经济地位等其他因素也可影响肥胖症的发生发展[2-3]。中国约50%的成年人和20%的儿童存在超重或肥胖,已成为世界上超重或肥胖人数最多的国家[4]。过去50年全球肥胖症患病率逐渐增高,已达到大流行的水平[5]。肥胖症可导致肥胖相关合并症,如胃食管反流病(gastroesophageal reflux disease,GERD)、2型糖尿病、心血管疾病及部分癌症等[6]。肥胖症以伴有轻度、慢性及全身性炎症状态为特征。肥胖症患者体内脂肪细胞肥大或增生导致出现应激和功能障碍,从而引起炎症反应[7],其机制可能与脂肪组织中存在不同类型的先天免疫细胞有关[8]。在肥胖症发展过程中,应激的脂肪细胞产生脂肪因子,招募和激活先天免疫细胞产生细胞因子和趋化因子来维持炎症反应状态,甚至造成全身炎症状态[9]。中性粒细胞是血液中最丰富的白细胞,也是第一种浸润脂肪组织的免疫细胞,被激活后可释放多种炎性因子和趋化因子以招募巨噬细胞和其他免疫细胞,包括B细胞、T细胞和NK细胞等[10]。同时中性粒细胞与脂肪细胞之间的相互作用进一步加重脂肪组织的炎症状态[11]。GERD作为肥胖症常见的合并症,临床内镜表型分为巴雷特食管(Barrett's esophagus,BE)、糜烂性食管炎(erosive esophagitis,EE)和非糜烂性胃食管反流病(non-erosive gastroesophageal reflux disease,NERD)[12]。研究发现,不同内镜分型的食管黏膜中白细胞介素-1β(IL-1β)、IL-6及肿瘤坏死因子-α(TNF-α)等炎性细胞因子水平存在差异[13]。因此,肥胖症和GERD的发病过程均与炎症反应和炎性因子有关。肥胖症可能通过脂肪细胞过度表达的脂肪因子及炎性因子增加合并GERD的风险。但关于外周血白细胞计数(white blood cell count,WBC)和中性粒细胞与淋巴细胞比值(neutrophil-to-lymphocyte ratio,NLR)对肥胖症合并GERD的临床诊断价值报道鲜少,三者之间的相关性尚不清楚。本研究旨在探讨外周血WBC和NLR对肥胖症合并GERD的临床诊断价值。
回顾性分析2020年1月-2022年1月新疆维吾尔自治区人民医院收治的118例肥胖症患者的临床资料。根据病史及检查结果分为肥胖症合并GERD组(n=57)与未合并GERD组(n=61)。本研究获新疆维吾尔自治区人民医院医学伦理委员会审批(KY2020041007)。
根据《中国居民肥胖防治专家共识》[14]和《成人胃食管反流病外科诊疗共识(2020版)》[15]制定纳入标准与排除标准。纳入标准:(1)肥胖症诊断明确,GERD诊断明确;(2)年龄18~65岁,体重指数(body mass index,BMI)≥28.0 kg/m2;(3)入院后完善血常规、生化检查及上消化道造影、胃镜、食管24 h pH监测、测压检查,检查报告完整;(4)无严重心脑血管合并症及手术禁忌证。排除标准:(1)既往存在血液或免疫系统疾病,或并发其他急慢性感染疾病;(2)患有严重肝、肾疾病;(3)存在食管裂孔疝嵌顿、消化道穿孔等急腹症;(4)正在接受糖皮质激素等相关免疫抑制剂、重组人粒细胞集落刺激因子(recombinant human granulocyte colony stimulating factor,rHG-CSF)治疗;(5)患有严重精神疾病;(6)重要临床资料不全。
根据《中国居民肥胖防治专家共识》[14]制定肥胖症诊断标准:若BMI≥28.0 kg/m2则诊断为肥胖,腰围男性≥90.0 cm和女性≥85.0 cm则诊断为成人中心性肥胖。根据《成人胃食管反流病外科诊疗共识(2020版)》[15]制定GERD诊断标准:(1)出现反酸、烧心、胸骨后疼痛等典型症状;(2)质子泵抑制剂试验阳性;(3)内镜检查提示反流性食管炎;(4) 24 h食管pH监测提示反流;(5)GERD Q量表评分≥8分;(6)高分辨率食管测压(high resolution manometry,HRM)可明确是否合并食管裂孔疝,主要表现为食管下段出现双压力带,呼吸压力反转点下移,食管下括约肌(low esophageal sphincter,LES)压力下降,低于正常值。GERD Q量表具体评分方法:(1)将烧心、反流症状的1周发作频率0、1、2~3、4~7 d分别评为0、1、2、3分;(2)将上腹痛、恶心的1周发作频率0、1、2~3、4~7 d分别评为3、2、1、0分;(3)将睡眠障碍及服用抑酸药物的1周发作频率0、1、2~3、4~7 d分别评为0、1、2、3分,总分为18分。根据GERD患者的消化内镜检查结果分为BE、EE和NERD三种临床内镜表型。
收集患者的年龄、性别、术前BMI、合并症、高血压、糖尿病、吸烟史、饮酒史、文化程度、家庭年收入、GERD和肥胖家族史、外周血WBC、NLR、三酰甘油、空腹血糖等临床资料。患者入院后禁食6~8 h,清晨采集空腹肘静脉血送检验科检查,检查项目包括血常规和生化常规等指标。本院检验科采用希森美康XN-2000全自动血液分析仪进行血细胞分类和计数,采用P800全自动生化分析仪(罗氏公司)及其配套试剂测定三酰甘油和空腹血糖。
采用单因素和多因素logistic回归分析肥胖症合并GERD的危险因素。
绘制受试者工作特征(ROC)曲线评估外周血WBC和NLR单独与联合检测诊断肥胖症合并GERD的敏感度及特异度。ROC曲线下面积(AUC)>0.7提示检查方法具有较高的临床诊断价值。
采用SPSS 22.0软件进行统计分析。计量资料以$\bar{x}±s$表示,两组间比较采用t检验;计数资料以例(%)表示,两组间比较采用χ2检验。
P<0.05为差异有统计学意义。
共纳入118例肥胖症患者,年龄(36.0±10.0)岁;男31例,女87例;外周血WBC为(9.46±2.11)×109/L,NLR为3.27±0.72;BE 2例,EE 25例,NERD 30例。EE患者与NERD患者外周血WBC、NLR差异均无统计学意义[WBC:(10.25±1.92)×109/L vs. (10.11±1.71)×109/L,P=0.778;NLR:3.65±0.81 vs. 3.45±0.64,P=0.317]。由于BE患者数量少,未纳入分析。
两组年龄、性别、合并症情况及合并高血压、糖尿病占比比较,差异均无统计学意义(P>0.05);合并GERD组吸烟史(31.6% vs. 14.8%,P=0.030)、GERD家族史(43.9% vs. 24.6%,P=0.027)占比,外周血WBC[(10.25±1.81)×109/L vs. (8.72±2.11)×109/L,P<0.001]、NLR(3.55±0.71 vs. 3.00±0.64,P<0.001),以及空腹血糖[(6.39±2.21) mmol/L vs. (5.76±0.85) mmol/L,P=0.041]均高于未合并GERD组,差异有统计学意义(表1)。
将上述P<0.05的因素[吸烟史(是=1,否=0)、GERD家族史(是=1,否=0)、WBC(实测值)、NLR(实测值)和空腹血糖(实测值)]作为自变量,是否合并GERD作为因变量(合并=1,未合并=0)纳入多因素logistic回归分析,结果显示,WBC和NLR是肥胖症合并GERD的独立危险因素(P<0.05,表2)。
ROC曲线分析结果显示,WBC(AUC=0.707)和NLR(AUC=0.722)对肥胖症合并GERD具有较高的临床诊断价值(P<0.001),WBC诊断的特异度高于NLR(70.5% vs. 52.5%),但NLR诊断的敏感度高于WBC(84.2% vs. 66.7%),且两者联合检测能够提高诊断效能(AUC=0.786,图1表3)。
肥胖与轻度、慢性、全身性炎症有关[7]。这种炎症状态可能是由于脂肪过度沉积造成脂肪组织损伤,以及肠道微生物群改变导致肠道通透性增加,从而引起细菌及其产物通过肠道屏障逃逸到血液循环造成的[16]。此外,脂肪组织中氧气含量降低可激活缺氧诱导因子(hypoxia-inducible factor,HIF)信号级联反应,从而上调促炎反应[17]。肥胖已成为世界大流行的健康问题[18]。肥胖症不仅可造成代谢综合征、GERD、2型糖尿病、心血管疾病、癌症等肥胖相关并发症引起过早死亡,且可能对患者认知功能和心理造成负面影响[19]。中性粒细胞是人体血液中最丰富的白细胞,被激活后可产生具有抗菌效力的中性粒细胞胞外陷阱(neutrophil extracellular traps,NETs)[20]。中性粒细胞作为炎症反应的主要效应细胞,也是第一种浸润脂肪组织的先天免疫细胞,可产生大量的细胞因子和趋化因子[如TNF-α、IL-1β、IL-8和单核细胞趋化蛋白(portant molecular alteration observe,MCP)-1等],诱导巨噬细胞和淋巴细胞等免疫细胞向炎症部位聚集[21-22]。研究发现,肥胖症患者血液循环中中性粒细胞增加,且与BMI明显相关[23],其机制可能为应激的脂肪细胞释放大量瘦素等促炎脂肪因子。瘦素作为巨噬细胞的激活剂,可激活巨噬细胞,进一步促进炎症反应;同时还可刺激中性粒细胞氧化暴发,进一步放大炎症反应[24]。因此,肥胖与全身性炎症反应有关,且可能是由中性粒细胞增加介导的。本研究发现,肥胖症患者外周血WBC为(9.46±2.11)×109/L,为正常值的高值,与其他研究结果基本一致[23-24]
如上所述,肥胖与WBC及中性粒细胞增加有关。NLR作为全身炎症的血液参数,是一种反映各种感染和非感染刺激免疫反应的生物标志物[25],其在医学领域被用作反映全身炎症过程中血液中性粒细胞与淋巴细胞动态变化的指标,体现了先天与适应性免疫反应之间的关系,成为反映亚临床炎症反应的一种经济且有效的生物标志物。研究证实,肥胖个体的NLR明显高于健康体形的个体,且与BMI呈正相关[26]。该结果在动物实验肥胖模型小鼠中也得到了验证,且血液中WBC存在相同的变化趋势[27]。有研究报道,NLR与腹部肥胖程度明显相关,是2型糖尿病较强的独立预测因素[28]。NLR能够识别肥胖个体中存在的持续性亚临床炎症[29]。本研究发现,肥胖症患者的NLR为3.27±0.72,高于正常水平,与其他研究结果基本一致[28-29],表明肥胖可能与WBC、NLR等炎症生物标志物有关。
GERD是一种多因素致病的疾病,其发病机制和表型可能与遗传因素有关[30]。本研究发现,合并GERD组GERD家族史占比高于未合并GERD组(43.9% vs. 24.6%,P=0.027),与上述研究结果一致。一项关于反流性食管炎发病机制的研究发现,远端食管黏膜上皮内的淋巴细胞计数能够预测GERD的症状,且吸烟史是预测淋巴细胞计数升高的独立危险因素[31]。本研究也发现,合并GERD组吸烟史占比高于未合并GERD组(31.6% vs. 14.8%,P=0.030),与上述研究结果一致。其机制可能归因于吸烟者胃酸反流的负担增加,以及烟草内物质的直接毒性作用导致黏膜海绵状病和淋巴细胞增多。对于GERD引起的并发症,如慢性咳嗽、哮喘等,通过质子泵抑制剂和促动力药物治疗后,症状明显缓解,且患者血浆及痰液中中性粒细胞计数明显减少,因此GERD可能通过中性粒细胞产生的炎症反应引起食管外症状[32]。此外,肥胖合并GERD可导致气道内中性粒细胞数目增加,促进血浆及痰液中IL-17水平增高,炎症反应加剧导致哮喘难以控制并继续恶化[33]。与上述研究结果一致,本研究也发现,合并GERD组外周血WBC高于未合并GERD组[(10.25±1.81)×109/L vs. (8.72±2.11)×109/L,P<0.001],因此合并GERD可能导致WBC增加且引起食管外症状。有研究发现,高脂肪饮食通过中性粒细胞释放IL-8等炎性因子加速BE小鼠模型的癌变[34];NLR与反流性食管炎的严重程度有关,且可作为诊断反流性食管炎的重要指标[35]。与上述研究结果一致,本研究发现,EE患者WBC和NLR高于NERD患者[WBC:(10.25±1.92)×109/L vs. (10.11±1.71)×109/L,P=0.778;NLR:3.65±0.81 vs. 3.45±0.64,P=0.317],但差异均无统计学意义,由于样本量太小,该结果仍需大样本量前瞻性研究进一步验证。此外,本研究还发现,合并GERD组NLR高于未合并GERD组(3.55±0.71 vs. 3.00±0.64,P<0.001),表明合并GERD可能导致NLR增高。多因素logistic回归分析发现,WBC和NLR是肥胖症合并GERD的独立危险因素(P<0.05)。ROC曲线分析发现,WBC(AUC=0.707)和NLR(AUC=0.722)对肥胖症合并GERD具有较高的临床诊断价值(P<0.001),且WBC联合NLR能够提高诊断效能(AUC=0.786)。因此,WBC和NLR与肥胖症患者合并GERD的发生发展密切相关。其机制可能为肥胖可引起全身性炎症反应,若合并GERD将加剧全身炎症反应,而WBC和NLR则能够反映全身炎症反应的程度。
综上所述,外周血WBC和NLR是肥胖症合并GERD的独立危险因素,对肥胖症合并GERD具有较高的诊断价值,两者联合能够提高诊断效能,具有一定的临床应用价值。但本研究为单中心回顾性研究,样本量不足,该结果仍需要开展大样本量、多中心前瞻性研究进一步验证。后续可收集健康人群数据作为对照,而通过控制WBC和NLR提高肥胖症合并GERD患者的治疗效果可能成为未来研究的新方向。
  • 国家自然科学基金(82060166)
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2023年第48卷第10期
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doi: 10.11855/j.issn.0577-7402.2153.2023.0410
  • 接收时间:2022-10-17
  • 首发时间:2025-11-25
  • 出版时间:2023-10-28
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  • 收稿日期:2022-10-17
  • 录用日期:2022-12-06
基金
National Natural Science Foundation of China(82060166)
国家自然科学基金(82060166)
作者信息
    1新疆维吾尔自治区人民医院微创、疝与腹壁外科,新疆乌鲁木齐 830011
    2新疆医科大学研究生院,新疆乌鲁木齐 830054
    3新疆维吾尔自治区普外微创研究所,新疆乌鲁木齐 830011
    4新疆维吾尔自治区胃食管反流病及减重代谢外科临床研究中心,新疆乌鲁木齐 830011

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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