国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Letter by Gu and Liu Regarding Article, "HbA1c (Glycated Hemoglobin) Levels and Clinical Outcome Post-Mechanical Thrombectomy in Patients With Large Vessel Occlusion"

第一作者:Gu Hong-Qiu

通讯作者:Gu Hong-Qiu

基本信息

  • 负责人:Gu Hong-Qiu
  • 数据来源: OTHERS
  • 论文编号:OTHERS20190778
  • 发表时间:2019-05-14

2019-05-14

已发表文章

发表杂志:Stroke

发表类型: Letter To The Editor

影响因子(IF): 7.914

PMID: 31084318 Pubmed原文链接 全文下载

主要研究背景及目的

方法

In their study, Choi et al1 stated that the number of patients with favorable outcomes was significantly lower in the HbA1c>6.5% group than in the HbA1c≤6.5% group. A shift analysis from the Cochran-Mantel-Haenszel test also revealed a statistically sig- nificant shift in the distributions of mRS scores between HbA1c groups (P=0.005).

结论

It is important to note that the P value for the shift analysis should come from the line of row mean scores differ, which treats the column variable as an ordinal variable. The P value in the General Association line is used in the x2 test for dichotomized analyses, which treats the column variable as a categorical variable.

主要结果

However, we found that the P value is 0.0003 in the Cochran-Mantel-Haenszel test for shift analysis using the data provided in this study, not 0.005 in the χ2 test for dichoto- mized analysis as was reported. In addition, the P values in the χ2 test for favorable outcomes and excellent outcomes are 0.043 and 0.0198, respectively, not 0.006 and 0.024 as was reported in the main text. Furthermore, the adjusted odds ratio for mortality in Table 3 in the original article were all significantly <1, indicat- ing that increased HbA1c, admission serum glucose, and fasting blood glucose on day 2 are protective factors of mortality. This is counterintuitive and confusing for readers without additional comments, interpretation or statistical exploration; for example, we could use restricted cubic splines or fractional polynomials to better understand the nonlinear relationship between these glu- cose parameters and mortality.