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Can diabetic polyneuropathy and foot ulcers in patients with type 2 diabetes be accurately identified based on ICD-10 hospital diagnoses and drug prescriptions?

机译:是否可以根据ICD-10医院诊断和药物处方准确识别2型糖尿病患者的糖尿病多发性神经病和足溃疡?

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>Purpose: We examined whether diabetic polyneuropathy (DPN) and diabetic foot ulcers in type 2 diabetes can be accurately identified using International Classification of Diseases, 10th revision discharge diagnosis codes, surgery codes, and drug prescription codes.>Methods: We identified all type 2 diabetes patients in the Central Denmark region, 2009–2016, who had ≥1 primary/secondary diagnosis code of “diabetes with neurological complication” (E10.4-E14.4), “diabetic polyneuropathy” (G63.2), or “polyneuropathy, unspecified” (G62.9). Patients with potential painful DPN and non-painful DPN were identified based on prescription history for serotonin–norepinephrine reuptake inhibitors, tricyclic antidepressants, or gabapentinoids. Likewise, type 2 diabetes patients with potential foot ulcers were identified based on diagnosis or surgery codes. We used medical record review as the reference standard and calculated positive predictive values (PPVs).>Results: Of 53 randomly selected patients with potential painful DPN, 38 were classified as having DPN when validated against medical records; of these, 18 also had neuropathic pain, yielding a PPV of 72% (95% CI: 58–83%) for DPN and 34% (95% CI: 22–48%) for painful DPN. Likewise, among 54 randomly selected patients with potential non-painful DPN, 30 had DPN based on medical record data; of these, 27 had non-painful DPN, yielding PPVs of 56% (95% CI: 41–69%) and 50% (95% CI: 36–64%), respectively. Secondary E-chapter codes often denoted stroke or mononeuropathies, rather than DPN. Excluding secondary E-chapter codes from the algorithm increased the PPV for DPN to 78% (95% CI: 63–89%) for the painful DPN cohort and to 74% (95% CI: 56–87%) for the non-painful DPN cohort. Of 53 randomly selected patients with potential diabetic foot ulcer, only 18 diagnoses were confirmed; PPV=34% (95% CI: 22–48%).>Conclusion: G-chapter and primary E-chapter diagnosis codes can detect type 2 diabetes patients with hospital-diagnosed DPN, and may be useful in epidemiological research. In contrast, our diabetic foot ulcer algorithm did not perform well.
机译:>目的:我们检查了是否可以使用国际疾病分类,第10版修订出院诊断代码,手术代码和药物处方代码来准确识别2型糖尿病患者的糖尿病多发性神经病(DPN)和糖尿病足溃疡。 strong>方法:我们确定了2009-2016年中丹麦地区的所有2型糖尿病患者,其初次/二次诊断代码为“具有神经系统并发症的糖尿病”(E10.4-E14.4) ,“糖尿病性多发性神经病”(G63.2)或“未指定的多发性神经病”(G62.9)。根据血清素-去甲肾上腺素再摄取抑制剂,三环类抗抑郁药或加巴喷丁类药物的处方史,确定患有潜在疼痛DPN和非疼痛DPN的患者。同样,根据诊断或手术规范确定患有潜在足溃疡的2型糖尿病患者。我们以病历审查作为参考标准并计算出阳性预测值(PPV)。>结果:在随机选择的53例潜在疼痛性DPN患者中,有38例经病历验证为DPN。其中,18例也有神经性疼痛,DPN的PPV为72%(95%CI:58–83%),DNP的疼痛为34%(95%CI:22–48%)。同样,在54名潜在的非疼痛性DPN患者中,有30名根据病历数据进行了DPN治疗。其中27例具有非疼痛性DPN,PPV分别为56%(95%CI:41–69%)和50%(95%CI:36–64%)。二级E章代码通常表示中风或单神经病,而不是DPN。从算法中排除辅助E章代码后,痛苦的DPN队列的DPN的PPV增至78%(95%CI:63–89%),非DPN队列的PPV则增至74%(95%CI:56–87%)。痛苦的DPN队列。在53名随机选择的潜在糖尿病足溃疡患者中,只有18例确诊。 PPV = 34%(95%CI:22–48%)。>结论: G章和主要E章的诊断代码可以检测出医院诊断为DPN的2型糖尿病患者,可能有用在流行病学研究中。相反,我们的糖尿病足溃疡算法效果不佳。

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