Analysis of Risk Factors for Postoperative Lower Extremity Deep Venous Thrombosis and its Treatment and Nursing

Establishment and Clinical Application of the General Comfort Scale for Postoperative Lung Cancer Patients

Background and purpose The concept of enhanced recovery after surgery (ERAS) not only reflects rapid perioperative recovery but also focuses on the comfort experience of inpatients. This study intends to establish a clinically applicable general comfort questionnaire (GCQ) for patients with lung cancer after surgery and verify its clinical application effect. Methods The comfort index items for postoperative lung cancer were formed by combining previous research and literature, clinically applied comfort scales, and expert interviews. The Delphi method was used to conduct two rounds of expert consultations to determine the final index and establish a postoperative comfort scale for lung cancer patients. This scale was used to conduct a questionnaire survey on 200 patients to test the reliability and validity of the scale. Results The comfort scale contains 3 dimensions and 10 items and is easy to operate and evaluate in clinical applications. The Cronbach's α coefficient of the comfort scale is 0.801, and the scale content validity index (SCVI/ave) is 0.97. The common factor 1 and 2 characteristic roots of scale structural validity evaluation are 3.257 and 1.352 respectively, both greater than 1, with cumulative variance contribution rates of 32.57% and 13.52%. Pain and getting out of bed are the main factors influencing patient comfort. Conclusion The postoperative comfort scale for lung cancer patients has high clinical application reliability and validity. This study identified pain and mobility (early ambulation or getting out of bed) as the primary factors influencing the postoperative comfort of lung cancer patients.

A nomogram model for predicting lower extremity deep vein thrombosis after gynecologic laparoscopic surgery: a retrospective cohort study

Objective

To investigate the risk factors associated with lower extremity deep vein thrombosis (LEDVT) and to establish a predictive model for patients who undergo gynecologic laparoscopic surgery.

Methods

A review of clinical data was conducted on patients who underwent gynecologic laparoscopic surgery between November 1, 2020, and January 31, 2022. Patients who developed LEDVT after surgery were included as the observation group, while the control group comprised patients who did not experience complications. Multivariate forward stepwise logistic regression models were used to identify independent risk factors associated with LEDVT. A nomogram model was then developed based on these risk factors.

Results

A total of 659 patients underwent gynecologic laparoscopic surgery during the study period, and 52 (7.89%) of these patients developed postoperative LEDVT. Multivariate logistic regression analysis showed that older age (adjusted OR, 1.085; 95% CI [1.034-1.138]; P < 0.05), longer operation duration (adjusted OR, 1.014; 95% CI [1.009-1.020]; P < 0.05), shorter activated partial thromboplastin time (APTT) (adjusted OR, 0.749; 95% CI [0.635-0.884]; P < 0.05), higher D-dimer (adjusted OR, 4.929; 95% CI [2.369-10.255]; P < 0.05), higher Human Epididymis Protein 4 (HE4) (adjusted OR, 1.007; 95% CI [1.001-1.012]; P < 0.05), and history of hypertension (adjusted OR, 3.732; 95% CI [1.405-9.915]; P < 0.05) were all independent risk factors for LEDVT in patients who underwent gynecologic laparoscopic surgery. A nomogram model was then created, which had an area under the curve of 0.927 (95% CI [0.893-0.961]; P < 0.05), a sensitivity of 96.1%, and a specificity of 79.5%.

Conclusions

A nomogram model that incorporates information on age, operation duration, APTT, D-dimer, history of hypertension, and HE4 could effectively predict the risk of LEDVT in patients undergoing gynecologic laparoscopic surgery, potentially helping to prevent the development of this complication.