Prajapati Sandeep Kumar, Senthamizhselvan Kuppusamy, Murugesan Rajeswari, Mohan Pazhanivel
Department of Medical Gastroenterology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry 605 006, India.
Department of Biostatistics, All India Institute of Medical Sciences, Mangalagiri 522 503, India.
Indian J Gastroenterol. 2025 Feb;44(1):64-71. doi: 10.1007/s12664-024-01659-2. Epub 2024 Aug 21.
Gastroesophageal reflux disease (GERD) is classified into erosive reflux disease (ERD) and non-erosive reflux disease (NERD). NERD includes three phenotypes: true NERD, functional heartburn (FH) and reflux hypersensitivity (RH). The management of these NERD phenotypes differs. We aimed at studying the spectrum of high-resolution manometry (HRM) and 24-hour impedance-pH findings in Indian patients with NERD, classifying the phenotypes and assessing the response to phenotype-based treatment.
We prospectively studied the clinical characteristics, endoscopy, HRM, 24-hour impedance-pH findings, symptom association and response to phenotype-specific treatment in patients with NERD.
Of 53 patients with NERD, the following phenotypes were diagnosed namely: 35 (66%) true NERD, 12 (22.7%) RH and six (11.3%) FH. The esophagogastric junction-contractile integral (EGJ-CI) was low in 60.4% and ineffective esophageal motility (IEM) was present in 53% of patients. The respective median values for true NERD, RH and FH groups were as follows: proximal mean nocturnal baseline impedance (P-MNBI) 2250Ω, 2241Ω, 2550Ω, (p = 0.592), distal (D-MNBI) 1431Ω, 2887.5Ω, 2516Ω (p < 0.001), post-reflux swallow-induced peristaltic wave index (PSPWI) 11.1%, 16%, 18.7% (p = 0.127). Receiver operating characteristic (ROC) curve analyses showed that D-MNBI and PSPWI discriminated FH and RH from true NERD, respectively, with a cut-off of 2376.5Ω (area under curve [AUC]:0.919, p < 0.001), 22.6% (AUC:0.671, p = 0.184) and 2318Ω (AUC:0.919, p = < 0.001), 16.2% (AUC:0.671, p = 0.079). The median P-MNBI was lower in patients with GERD-associated cough than other symptoms 1325 (1250, -). Fifty (94.3%) patients showed significant improvement in symptom severity scores (p < 0.001) following phenotype-specific treatment.
In NERD patients, EGJ-CI and IEM were low. D-MNBI and PSPWI could effectively discriminate true NERD from FH and RH, whereas P-MNBI could help diagnose GERD-associated cough. The phenotype-specific treatment provides better symptom relief for patients.
胃食管反流病(GERD)分为糜烂性反流病(ERD)和非糜烂性反流病(NERD)。NERD包括三种表型:真性NERD、功能性烧心(FH)和反流高敏(RH)。这些NERD表型的治疗方法有所不同。我们旨在研究印度NERD患者的高分辨率测压(HRM)和24小时阻抗-pH监测结果,对表型进行分类,并评估基于表型的治疗反应。
我们前瞻性地研究了NERD患者的临床特征、内镜检查、HRM、24小时阻抗-pH监测结果、症状关联以及对表型特异性治疗的反应。
在53例NERD患者中,诊断出以下表型:35例(66%)真性NERD,12例(22.7%)RH,6例(11.3%)FH。60.4%的患者食管胃交界收缩积分(EGJ-CI)较低,53%的患者存在无效食管动力(IEM)。真性NERD、RH和FH组的各自中位数如下:近端平均夜间基线阻抗(P-MNBI)2250Ω、2241Ω、2550Ω(p = 0.592),远端(D-MNBI)1431Ω、2887.5Ω、2516Ω(p < 0.001),反流后吞咽诱发蠕动波指数(PSPWI)11.1%、16%、18.7%(p = 0.127)。受试者操作特征(ROC)曲线分析表明,D-MNBI和PSPWI分别可将FH和RH与真性NERD区分开来,截断值分别为2376.5Ω(曲线下面积[AUC]:0.919,p < 0.001)、22.6%(AUC:0.671,p = 0.184)和2318Ω(AUC:0.919,p = < 0.001)、16.2%(AUC:0.671,p = 0.079)。与GERD相关咳嗽的患者中,P-MNBI中位数低于其他症状患者,为1325(1250, -)。50例(94.3%)患者在接受表型特异性治疗后症状严重程度评分有显著改善(p < 0.001)。
在NERD患者中,EGJ-CI和IEM较低。D-MNBI和PSPWI可有效区分真性NERD与FH和RH,而P-MNBI有助于诊断GERD相关咳嗽。表型特异性治疗能为患者提供更好的症状缓解。