Kan Xu

Dr. Kan Xu

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 October 2022 in Infection and Drug Resistance
Verified
Journal Article
Open access
PDF file
XXXiaoqun Xu
Xiaoqun Xu
HZHouyong Zhu
Houyong Zhu
LCLong Cai
Long Cai
XZXinyu Zhu
Xinyu Zhu
HWHanxin Wang
Hanxin Wang
KXKan Xu
Kan Xu
Background: This study aimed to investigate whether nutrition levels in patients with active pulmonary tuberculosis (TB) affect their risk of all-cause mortality during hospitalization and to further evaluate the predictive ability of Geriatric Nutritional Risk Index (GNRI) and Body Mass Index (BMI) for risk of all-cause mortality. Methods: Patients from January 1, 2020 to December 31, 2021 were retrieved, and a total of 1847 were included. The primary outcome was all-cause mortality. Propensity score matching (PSM) was performed for risk adjustment, and receiver operating characteristic (ROC) curve analysis was performed to assess the predictive ability of GNRI and BMI for all-cause mortality. Results: Malnourished TB patients were older, had more congestive heart failure, and had more chronic obstructive pulmonary disease or asthma. Under the nutrition level grouping defined by GNRI, the all-cause mortality in the malnourished group did not appear to reach a statistical difference compared with the nonmalnourished group (P = 0.078). When grouped by level of nutrition as defined by BMI, the all-cause mortality was higher in the malnourished group (P = 0.009), and multivariate logistic regression analysis revealed that malnutrition was an independent risk factor for all-cause mortality. After propensity score matching, the results showed that the all-cause mortality was higher in the malnutrition group, regardless of BMI or GNRI defined nutrition level grouping, compared with the control group (both P < 0.001). The ROC curve analysis revealed that the area under the curve (AUC) was 0.811 ([95% confidence interval (CI) 0.701– 0.922], P < 0.001) for GNRI and 0.728 ([95% CI 0.588– 0.869], P = 0.001) for BMI. Conclusion: In the clinical treatment of patients with active TB, more attention should be paid to the management of nutritional risk. GNRI may be a highly effective and easy method for predicting short-term outcomes in patients with active pulmonary TB.

21 September 2022 in Clinical Therapeutics
Verified
Journal Article
Closed access
PDF file
XXXiaoqun Xu
Xiaoqun Xu
HZHouyong Zhu
Houyong Zhu
LCLong Cai
Long Cai
LLLibin Liu
Libin Liu
FZFengwei Zhang
Fengwei Zhang
KXKan Xu
Kan Xu

3 July 2024 in Canadian Journal of Cardiology
Verified
Journal Article
Closed access
XXXiaoqun Xu
Xiaoqun Xu
HZHouyong Zhu
Houyong Zhu
KXKan Xu
Kan Xu