PURPOSE: The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery. METHODS: A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications. RESULTS: In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram. CONCLUSION Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans ; COVID-19/complications* ; Male ; Female ; Middle Aged ; Postoperative Complications/epidemiology* ; SARS-CoV-2 ; Orthopedic Procedures/adverse effects* ; Aged ; Nomograms ; Adult ; Retrospective Studies ; Risk Factors

Objective To explore the types of symptom clusters in patients with bladder instillation and identify the core symptoms through symptom network analysis,and to provide evidence for symptom management of the patients.Methods Convenience sampling was used to select 226 patients with bladder instillation for bladder cancer at a Tier-IIIA hospital in Guiyang from March 2023 to July 2024.Data were collected through review of medical record,general information questionnaires and symptom assessment questionnaires specific to the patients with bladder instillation.Exploratory factor analysis was used to extract symptom clusters,and symptom relationships were analysed using R language for network layout and centrality calculations.Results A total of 223 patients with bladder cancer completed the survey.Four symptom clusters were identified,namely the urinary system symptom cluster,digestive system symptom cluster,somatic symptom cluster and psychological symptom cluster,with a cumulative variance contribution rate of 66.038%.The symptom network analysis showed strong associations between dysuria and urethral pain during catheterisation,incomplete emptying and dysuria,as well as distress and poor sleep quality.In terms of centrality indicators,the top three symptoms by strength were dysuria(rS=2.26),incomplete emptying(rS=0.99)and poor sleep quality(rS=0.90).Of the expected impacts,the top three were dysuria(rE=2.09),poor sleep quality(rE=1.34)and frequency of urinary(rE=0.55).Regarding the closeness centrality,the top three were dysuria(rC=2.23),incomplete emptying(rC=0.64)and poor sleep quality(rC=0.54).Dysuria had the highest strength,expected impact and closeness centrality,indicating the dysuria was the core symptom in the patients with bladder cancer.Conclusion For the patients with bladder instillation experience,multiple and interconnected symptoms appear at the same time and together they form a symptom clusters,of which the pain in urination is the core symptom.Medical staff should consider symptom prevalence and core symptoms and to develop the targeted and precise management strategies for targeted nursing.

Objective:To evaluate the diagnostic value of native T1 mapping in differentiating Oxford classification (MEST-C) scores in patients with IgA nephropathy.Methods:In this prospective study, patients who underwent both T1 mapping and renal biopsy at the First Medical Center of the Chinese PLA General Hospital between April 2023 and October 2024 were consecutively enrolled. Two radiologists, blinded to clinical and pathological information, measured renal T1 mapping parameters, including cortical T1 (cT1), medullary T1 (mT1), the corticomedullary difference (ΔT1), and the corticomedullary ratio (T1 ratio). Clinical and renal biopsy data based on the Oxford classification from patients with IgA nephropathy were collected. The Oxford classification includes five indicators: Mesangial hypercellularity (M), Endocapillary hypercellularity (E), Segmental glomerulosclerosis or adhesion (S), Tubular atrophy/interstitial fibrosis (T), and Cellular or fibrocellular crescents (C). Spearman correlation analysis was applied to evaluate the associations between MEST-C scores and T1 parameters. The diagnostic performance of T1 parameters for discriminating among scores of the Oxford classification was analyzed using the receiver operating characteristic (ROC) curve.Results:A total of 124 patients with IgA nephropathy were included in this study [66 males, 58 females; age 19-70 years, 39 (30, 51) years]. Except for the E indicator, M, S, T, and C were significantly correlated with renal T1 values ( ρ=0.177-0.414, all P<0.05). cT1 showed the best diagnostic efficacy for the S score, with an area under the curve (AUC) of 0.798, a sensitivity of 68.7%, and a specificity of 88.0%. The best T1 parameter for differentiating the T score was the T1 ratio, with an AUC of 0.687, a sensitivity of 57.9%, and a specificity of 79.1%. Conclusion:Native T1 mapping can be used for the non-invasive assessment of the S and T scores in the Oxford classification of patients with IgA nephropathy.

Diagnosis-related groups (DRG) payment is an important component of deepening the reform of medical insurance payment methods. In June 2023, a tertiary hospital launched an intelligent DRG grouping audit system to enhance grouping accuracy. By establishing a multi departmental collaborative organizational structure, building a standardized knowledge base and a rule base covering five categories (diagnosis, fees, testing, nursing, and pathology), and integrating electronic medical records, medical orders, testing, and imaging data throughout the entire diagnosis and treatment process, the intelligent DRG grouping audit system with data collection, identification, extraction, comparison, and output modules was constructed to achieve intelligent audit. At the same time, it was formed a closed-loop management system for pre reporting quality control, in-process group entry control, and post data analysis and assessment, which would prevent the risk of differentiated behaviors such as high coding and high sets, and ensure the reasonable use of medical insurance funds. By January 2024, the system had covered 89 ADRG groups, and improved the efficiency and quality of DRG grouping audit. Compared with February to May 2023, the monthly average rejection rate of medical records on the first page decreased by 9.4% after the system was put into operation (June to December 2023), and core medical indicators such as the number of DRG groups, medical insurance settlement cases, and time consumption index continued to improve. The practical experience could provide reference and inspiration for other hospitals in China.

Objective:To develop the Puerperal Delivery Trauma Perception Scale and test its reliability and validity.Methods:Based on the theory of unpleasant symptoms and combining literature review, semi-structured interview, and group discussion, an item pool was created. The initial version of the scale was formed through Delphi expert consultation and pre-investigation. A convenience sampling method was used to select 304 puerperal women from seven Grade-A tertiary hospitals in Wuhan for reliability and validity testing of the scale in January and February 2024.Results:The Puerperal Delivery Trauma Perception Scale includes seven dimensions and 34 items. The Cronbach's α coefficient of the scale was 0.929, the split-half reliability was 0.874, and the test-retest reliability was 0.932. Exploratory factor analysis extracted seven common factors, with a cumulative variance contribution rate of 71.221%.Conclusions:The Puerperal Delivery Trauma Perception Scale has good reliability and validity and can be used to assess the trauma perception of puerperal women in China.

Objective:To develop the Puerperal Delivery Trauma Perception Scale and test its reliability and validity.Methods:Based on the theory of unpleasant symptoms and combining literature review, semi-structured interview, and group discussion, an item pool was created. The initial version of the scale was formed through Delphi expert consultation and pre-investigation. A convenience sampling method was used to select 304 puerperal women from seven Grade-A tertiary hospitals in Wuhan for reliability and validity testing of the scale in January and February 2024.Results:The Puerperal Delivery Trauma Perception Scale includes seven dimensions and 34 items. The Cronbach's α coefficient of the scale was 0.929, the split-half reliability was 0.874, and the test-retest reliability was 0.932. Exploratory factor analysis extracted seven common factors, with a cumulative variance contribution rate of 71.221%.Conclusions:The Puerperal Delivery Trauma Perception Scale has good reliability and validity and can be used to assess the trauma perception of puerperal women in China.

Objective:To evaluate the diagnostic value of native T1 mapping in differentiating Oxford classification (MEST-C) scores in patients with IgA nephropathy.Methods:In this prospective study, patients who underwent both T1 mapping and renal biopsy at the First Medical Center of the Chinese PLA General Hospital between April 2023 and October 2024 were consecutively enrolled. Two radiologists, blinded to clinical and pathological information, measured renal T1 mapping parameters, including cortical T1 (cT1), medullary T1 (mT1), the corticomedullary difference (ΔT1), and the corticomedullary ratio (T1 ratio). Clinical and renal biopsy data based on the Oxford classification from patients with IgA nephropathy were collected. The Oxford classification includes five indicators: Mesangial hypercellularity (M), Endocapillary hypercellularity (E), Segmental glomerulosclerosis or adhesion (S), Tubular atrophy/interstitial fibrosis (T), and Cellular or fibrocellular crescents (C). Spearman correlation analysis was applied to evaluate the associations between MEST-C scores and T1 parameters. The diagnostic performance of T1 parameters for discriminating among scores of the Oxford classification was analyzed using the receiver operating characteristic (ROC) curve.Results:A total of 124 patients with IgA nephropathy were included in this study [66 males, 58 females; age 19-70 years, 39 (30, 51) years]. Except for the E indicator, M, S, T, and C were significantly correlated with renal T1 values ( ρ=0.177-0.414, all P<0.05). cT1 showed the best diagnostic efficacy for the S score, with an area under the curve (AUC) of 0.798, a sensitivity of 68.7%, and a specificity of 88.0%. The best T1 parameter for differentiating the T score was the T1 ratio, with an AUC of 0.687, a sensitivity of 57.9%, and a specificity of 79.1%. Conclusion:Native T1 mapping can be used for the non-invasive assessment of the S and T scores in the Oxford classification of patients with IgA nephropathy.

Diagnosis-related groups (DRG) payment is an important component of deepening the reform of medical insurance payment methods. In June 2023, a tertiary hospital launched an intelligent DRG grouping audit system to enhance grouping accuracy. By establishing a multi departmental collaborative organizational structure, building a standardized knowledge base and a rule base covering five categories (diagnosis, fees, testing, nursing, and pathology), and integrating electronic medical records, medical orders, testing, and imaging data throughout the entire diagnosis and treatment process, the intelligent DRG grouping audit system with data collection, identification, extraction, comparison, and output modules was constructed to achieve intelligent audit. At the same time, it was formed a closed-loop management system for pre reporting quality control, in-process group entry control, and post data analysis and assessment, which would prevent the risk of differentiated behaviors such as high coding and high sets, and ensure the reasonable use of medical insurance funds. By January 2024, the system had covered 89 ADRG groups, and improved the efficiency and quality of DRG grouping audit. Compared with February to May 2023, the monthly average rejection rate of medical records on the first page decreased by 9.4% after the system was put into operation (June to December 2023), and core medical indicators such as the number of DRG groups, medical insurance settlement cases, and time consumption index continued to improve. The practical experience could provide reference and inspiration for other hospitals in China.

Objective To explore the types of symptom clusters in patients with bladder instillation and identify the core symptoms through symptom network analysis,and to provide evidence for symptom management of the patients.Methods Convenience sampling was used to select 226 patients with bladder instillation for bladder cancer at a Tier-IIIA hospital in Guiyang from March 2023 to July 2024.Data were collected through review of medical record,general information questionnaires and symptom assessment questionnaires specific to the patients with bladder instillation.Exploratory factor analysis was used to extract symptom clusters,and symptom relationships were analysed using R language for network layout and centrality calculations.Results A total of 223 patients with bladder cancer completed the survey.Four symptom clusters were identified,namely the urinary system symptom cluster,digestive system symptom cluster,somatic symptom cluster and psychological symptom cluster,with a cumulative variance contribution rate of 66.038%.The symptom network analysis showed strong associations between dysuria and urethral pain during catheterisation,incomplete emptying and dysuria,as well as distress and poor sleep quality.In terms of centrality indicators,the top three symptoms by strength were dysuria(rS=2.26),incomplete emptying(rS=0.99)and poor sleep quality(rS=0.90).Of the expected impacts,the top three were dysuria(rE=2.09),poor sleep quality(rE=1.34)and frequency of urinary(rE=0.55).Regarding the closeness centrality,the top three were dysuria(rC=2.23),incomplete emptying(rC=0.64)and poor sleep quality(rC=0.54).Dysuria had the highest strength,expected impact and closeness centrality,indicating the dysuria was the core symptom in the patients with bladder cancer.Conclusion For the patients with bladder instillation experience,multiple and interconnected symptoms appear at the same time and together they form a symptom clusters,of which the pain in urination is the core symptom.Medical staff should consider symptom prevalence and core symptoms and to develop the targeted and precise management strategies for targeted nursing.