A Nomogram Predicting Decreased Quality of Life in Patients with Keloids

Shu Xu,1,* Yuting Huang,1,* Li Zhang,1,* Yuqi Wu,1 Hao Zhang,1 Jiawen Wu,1 Zhifeng Gu,2 Chen Dong2 1Department of Dermatology, HAffiliated Hospital of Nantong University, Nantong University, Nantong, People’s Republic of China; 2Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong University, Nantong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhifeng Gu, Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong University, Nantong, 226000, People’s Republic of China, Email guzf@ntu.edu.cn Chen Dong, Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong University, Nantong, 226000, People’s Republic of China, Email dongchen@ntu.edu.cnPurpose: Most keloid patients have a low quality of life (QoL), which affects their prognosis. Our aim was to identify risk factors for a decreased QoL in patients with keloids and to create a predictive nomogram for this condition.Patients and Methods: The Dermatology Life Quality Index (DLQI) is used to assess patients’ QoL, with a DLQI score > 10 indicated a decreased QoL. We used multivariate logistic regression to assess QoL in patients with keloids for predictive modeling. We assessed the predictive and clinical value of the nomograms using the consistency index (C-index), area under the curve (AUC), and decision curve analysis (DCA).Results: The risk factors that associated with a decreased QoL in patients with keloids are smoking (OR = 2.463, 95% CI = 1.031– 5.880, P = 0.042), pain with pruritus (OR = 2.647, 95% CI = 1.232– 5.684, P = 0.013), and anxiety (OR = 5.294, 95% CI = 2.158– 12.987, P