Objective:To construct the symptom network of patients after hepatectomy, analyze the core symptoms and bridge symptoms in the network, and provide evidence for symptom management of patients after hepatectomy.Methods:A cross-sectional study was conducted to select the patients after hepatectomy in the Second Affiliated Hospital of Zhejiang University from January to July 2024 by convenient sampling method. M.D. Anderson Sympotom Inventory and the Symptom Module Specific to Primary Liver Cancer were used to investigate the composition of symptoms. Symptom clusters were extracted by exploratory factor analysis, and simultaneous network layout was constructed by R language to describe the relationship between symptoms and analyze the central indicators.Results:A total of 228 questionnaires were distributed and 220 valid questionnaires were collected. There were 174 males and 46 females, aged (60.31 ± 10.69) years old. The four symptom groups were neuroaffective symptom group, gastrointestinal symptom group, fatigue-related symptom group and pain-related symptom group, and the cumulative variance contribution rate was 54.592%.In the concurrent symptom network analysis, distress was the core symptom of node centrality index, and the top 3 bridge symptoms were pain (r bs=2.40), decreased appetite (r bs=2.10) and nausea (r bs=2.00), the correlation stability coefficients of network strength centrality, compact centrality and expected influence values were 0.595, 0.595 and 0.673, the symptom group network was stable. Conclusions:Distress is the core symptom of patients after hepatectomy, and pain, decreased appetite and nausea are bridge symptoms. It is recommended that medical staff construct intervention programs based on core symptoms and bridge symptoms, implement precise symptom management, and improve the outcome of symptom management of patients.

Objective:To construct the symptom network of patients after hepatectomy, analyze the core symptoms and bridge symptoms in the network, and provide evidence for symptom management of patients after hepatectomy.Methods:A cross-sectional study was conducted to select the patients after hepatectomy in the Second Affiliated Hospital of Zhejiang University from January to July 2024 by convenient sampling method. M.D. Anderson Sympotom Inventory and the Symptom Module Specific to Primary Liver Cancer were used to investigate the composition of symptoms. Symptom clusters were extracted by exploratory factor analysis, and simultaneous network layout was constructed by R language to describe the relationship between symptoms and analyze the central indicators.Results:A total of 228 questionnaires were distributed and 220 valid questionnaires were collected. There were 174 males and 46 females, aged (60.31 ± 10.69) years old. The four symptom groups were neuroaffective symptom group, gastrointestinal symptom group, fatigue-related symptom group and pain-related symptom group, and the cumulative variance contribution rate was 54.592%.In the concurrent symptom network analysis, distress was the core symptom of node centrality index, and the top 3 bridge symptoms were pain (r bs=2.40), decreased appetite (r bs=2.10) and nausea (r bs=2.00), the correlation stability coefficients of network strength centrality, compact centrality and expected influence values were 0.595, 0.595 and 0.673, the symptom group network was stable. Conclusions:Distress is the core symptom of patients after hepatectomy, and pain, decreased appetite and nausea are bridge symptoms. It is recommended that medical staff construct intervention programs based on core symptoms and bridge symptoms, implement precise symptom management, and improve the outcome of symptom management of patients.

Objective:To analyze the changes of pathogen spectrum of pulmonary infection in human immunodeficiency virus (HIV) infection/acquired immunodeficiency syndrome (AIDS) patients before and during coronavirus disease 2019 (COVID-19) epidemic.Methods:The clinical data of hospitalized HIV infection/AIDS patients with pulmonary infection confirmed by etiology and/or imaging examinations in the Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University from January 2017 to December 2022 were collected, including the types of pathogens, the peripheral blood CD4 + T lymphocyte counts at admission due to pulmonary infection, and the treatment outcome of the patients at discharge. The changes of pathogen spectrum of pulmonary infection before COVID-19 epidemic (2017 to 2019) and during the epidemic (2020 to 2022) were analyzed, and their effects on adverse treatment outcomes (death during hospitalization or automatic discharge) were analyzed. Statistical analysis was performed using the chi-square test, trend chi-square test or Kruskal-Wallis test. Results:The proportion of patients with pulmonary infection during the epidemic was lower than that before the epidemic, the difference was statistically significant (23.01%(1 061/4 612) vs 28.68%(1 463/5 102), χ2=40.76, P<0.001). From 2017 to 2022, the proportion of hospitalized HIV infection/AIDS patients with pulmonary infection showed a downward trend ( χ2trend=8.81, P<0.001). Among the pathogens causing pulmonary infection from 2017 to 2022, bacteria, mycobacteria, and fungi were the three main pathogenic pathogens, accounting for 48.77%(1 231/2 524), 32.13%(811/2 524), and 14.34%(362/2 524), respectively. The proportion of bacterial infection decreased from 55.02%(805/1 463) before the epidemic to 40.15%(426/1 061) during the epidemic, and the proportion of fungal infection increased from 9.23%(135/1 463) to 21.39%(227/1 061), the differences were both statistically significant ( χ2=54.45 and 74.11, respectively, both P<0.001). There was no significant difference in the proportion of mycobacteria between before and during the epidemic ( P=0.169), but the proportion of Mycobacterium tuberculosis (MTB) infection decreased from 22.01%(322/1 463) before the epidemic to 15.08%(160/1 061) during the epidemic, while the proportion of nontuberculous mycobacterium (NTM) infection increased from 7.11%(104/463) to 11.78%(125/1 061), the differences were both statistically significant ( χ2=19.11 and 16.28, respectively, both P<0.001). There was a significant difference in the pathogen spectrum of pulmonary infection before and during the epidemic ( χ2=128.91, P<0.001). There was a significant difference in the peripheral blood CD4 + T lymphocyte counts of patients with MTB, NTM, Pnenmocystis, Talaromycosis marneffei and Cryptococcus infection ( H=71.92, P<0.001). There were 63.74%(109/171) of Pneumocystis infection and 67.65%(69/102) of Talaromycosis marneffei infection occurred in patients with CD4 + T lymphocyte count<50/μL. Among the patients with pulmonary infection, the proportion of patients with adverse treatment outcomes during the epidemic was higher than that before the epidemic, and the difference was statistically significant (13.29%(141/1 061) vs 10.39%(152/1 463), χ2=5.04, P=0.025). Among the patients with pulmonary infection who developed adverse treatment outcomes, the top three pathogens (from high to low) were bacteria (63.48%(186/293)), mycobacteria (27.65%(81/293)), and fungi (6.83%(20/293)). The proportion of adverse treatment outcomes caused by bacterial infection decreased during the epidemic compared with that of before the epidemic (71.71%(109/152) vs 54.61%(77/141), χ2=9.23, P=0.002), while the proportion of adverse treatment outcomes caused by fungal infection increased (2.63%(4/152) vs 11.35%(16/141), χ2=8.74, P=0.003), and the differences were both statistically significant. The proportion of adverse treatment outcomes caused by mycobacterial infection increased, but without statistically significant (23.03%(35/152) vs 32.62%(46/141), χ2=3.37, P=0.066), among which there was no difference in the proportion of adverse treatment outcomes caused by MTB infection (13.82%(21/152) vs 14.89%(21/141), χ2=0.07, P=0.793), while the proportion of adverse treatment outcomes caused by NTM infection increased (5.92%(9/152) vs 14.89%(21/141), χ2=6.41, P=0.011). There was a significant difference in the pathogen spectrum of pulmonary infection patients with adverse treatment outcomes before and during the epidemic ( χ2=12.22, P=0.007). Conclusions:Among the spectrum of pathogens causing pulmonary infection and adverse treatment outcomes of HIV infection/AIDS patients during the epidemic, compared with that before the epidemic, the proportion of bacterial decreases, while the proportion of fungi increases, and the proportion of mycobacteria remains stable with the proportion of NTM increasing. The proportion of MTB causing pulmonary infection decreases, while the proportion of MTB causing adverse treatment outcomes remains stable.

The long-acting cabotegravir and rilpivirine injection regimen（CAB+RPV regimen）is the first approved long-acting antiretroviral therapy（ART）for HIV in China，administered once every two months. This regimen provides an innovative alternative to daily oral ART，benefiting virologically suppressed patients. Several large clinical-studies have shown that the CAB+RPV regimen achieves comparable virologic suppression and safety to daily oral regimens，while significantly enhancing patient satisfaction. Based on international and domestic HIV/AIDs guidelines and clinical evidence，this consensus offers expert recommendations on patient selection，clinical management，and key communication strategies for healthcare providers to support the effective use of this regimen，aiming to improve quality of life for people living with HIV and accumulate domestic clinical experience with this advanced treatment approach.

The long-acting cabotegravir and rilpivirine injection regimen（CAB+RPV regimen）is the first approved long-acting antiretroviral therapy（ART）for HIV in China，administered once every two months. This regimen provides an innovative alternative to daily oral ART，benefiting virologically suppressed patients. Several large clinical-studies have shown that the CAB+RPV regimen achieves comparable virologic suppression and safety to daily oral regimens，while significantly enhancing patient satisfaction. Based on international and domestic HIV/AIDs guidelines and clinical evidence，this consensus offers expert recommendations on patient selection，clinical management，and key communication strategies for healthcare providers to support the effective use of this regimen，aiming to improve quality of life for people living with HIV and accumulate domestic clinical experience with this advanced treatment approach.

Humans ; COVID-19 ; HIV Infections/drug therapy* ; Risk Factors

Humans ; HIV-1 ; Leukocytes, Mononuclear ; Lymphoma, Non-Hodgkin ; DNA ; HIV Infections

Objective:To analyze the clinical and epidemiological characteristics and changing trends of acquired immunodeficiency syndrome (AIDS)-associated talaromycosis in Shanghai City.Methods:The clinical data of patients with AIDS-associated talaromycosis hospitalized at Shanghai Public Health Clinical Center, Fudan University from Janauary 1, 2014 to December 31, 2021 were collected. The medical information included age, gender, place of origin, clinical symptoms, imaging manifestations, blood routine test, CD4 + T lymphocyte count. The chi-square test or Fisher exact probability test was used for statistical analysis. Univariate logistic regression was used to analyze the related risk factors for death. Results:From 2014 to 2021, a total of 12 165 AIDS patients were admitted, including 169 (1.4%) AIDS-assiociated talaromycosis patients. The proportions of AIDS-associated talaromycosis in AIDS inpatients from 2014 to 2021 were 1.8%(21/1 149), 1.1%(14/1 307), 1.3%(19/1 446), 0.9%(15/1 610), 1.2%(20/1 626), 1.2%(22/1 778), 1.7%(28/1 624) and 1.8%(30/1 625), respectively, which had not changed much. There was no statistically significant difference in the proportion of AIDS-associated talaromycosis in AIDS inpatients in different years ( χ2=9.50, P=0.218). Among the 169 patients, 157 cases (92.9%) were male, with the age of (37.9±12.2) years, and 35 were from Jiangxi Province, 31 from Shanghai Municipality, 29 from Zhejiang Province, 17 from Anhui Province, 14 from Fujian Province, 11 from Jiangsu Province, eight from Hunan Province, four from Heilongjiang Province, three cases each from Guangxi Zhuang Autonomous Region, Guizhou Province and Henan Province, two cases each from Hubei Province, Shandong Province, Shanxi Province, Yunnan Province and Guangdong Province, and one case from Chongqing Municipality. Patients from non-traditional endemic areas did not find a clear history of living in traditional endemic areas. Of 169 patients, 143(84.6%) cases had fever, 73(43.2%) had respiratory symptoms, and 26(15.4%) had rash during the course of the disease, 147(87.0%) had pulmonary imaging abnormalities, 94(55.6%) were complicated by other pathogens, and 44(26.0%) had hepatosplenomegaly, 137(81.1%) had CD4 + T lymphocyte count <50/μL. Twenty-three patients died, with the total fatality rate of 13.6%. The overall mortality rate showed a downward trend year by year. There was a statistically significant difference in the case fatality rate of AIDS-associated talaromycosis in different years (Fisher exact probability test, P=0.046). The result of univariate logistic regression model showed that patients with platelet count<50×10 9/L had an increased risk of death (odds ratio ( OR)=3.33, 95% confidence interval ( CI) 1.13 to 9.81, P=0.029). Conclusions:The overall change of AIDS-associated talaromycosis inpatients in Shanghai is not significant, while the prevalence rate has increased slightly in recent two years. The case fatality rate is declining year by year. The proportions of patients without a history of living in or traveling to epidemic areas and without rash as the first manifestation are high, and the main clinical manifestation is multi-system damage. Patients with platelet count<50×10 9/L have an increased risk of death.

Objective:To explore the clinical characteristics of acquired immunodeficiency syndrome (AIDS) complicated with nontuberculous mycobacteria (NTM) disease.Methods:The clinical data of 190 patients with AIDS complicated with NTM disease diagnosed by Shanghai Public Health Clinical Center, Fudan University from January 1, 2019 to December 31, 2021 were analyzed retrospectively. NTM diseases were divided into disseminated NTM disease group and non-disseminated NTM disease group. The independent sample t test, Mann Whitney U test and chi-square test were used for statistical analysis. Results:The 190 patients with AIDS complicated with NTM disease included 182 males and eight females. The age was (42±13) years old, and the first hospital stay was 15(6, 26) days. Pneumocystis carinii pneumonia was the most common co-infection in 12.1%(23/190) of patients, 87 cases (45.8%) were disseminated NTM disease. The clinical symptoms of patients were common in fever (55.8%(106/190)), cough (50.0%(95/190)), and expectoration (28.9%(55/190)). The proportions of fatigue (31.0%(27/87) vs 7.8%(8/103)), poor appetite (21.8%(19/87) vs 10.7%(11/103)) in the AIDS patients with disseminated NTM disease group were higher than those in the non-disseminated NTM disease group, and the differences were statistically significant ( χ2=16.99, P<0.001 and χ2=4.42, P=0.036, respectively). There was no significant difference in the proportions of deaths between AIDS patients with disseminated NTM disease and those without disseminated NTM disease (17.2%(15/87) vs 12.6%(13/103), χ2=0.80, P=0.371). The most common NTM species was Mycobacterium avium (67.1%(49/190)), followed by Mycobacterium kansasii (15.1%(11/190)). Hemoglobin ((90.3±23.9) g/L vs (110.1±24.2) g/L), albumin ((29.7±5.5) g/L vs (34.7±5.6) g/L), CD4 + T lymphocyte count (11(5, 30)/μL vs 52(16, 96)/μL) and CD8 + T lymphocyte count ((362±320)/μL vs (496±352)/μL) in the disseminated NTM disease group were lower than those in non-disseminated NTM disease group ( t=-5.63, P<0.001; t=-6.18, P<0.001; Z=-5.90, P<0.001; and t=-2.73, P=0.007, respectively), while procalcitonin (0.24(0.10, 0.77) μg/L vs 0.10 (0.04, 0.51) μg/L) was higher than that in the non-disseminated NTM disease group ( Z=-3.09, P=0.002), with statistical significance. The most common imaging features were lung patch and strip shadow (67.4%(128/190)). Conclusions:The most common type of AIDS patients complicated with NTM disease is disseminated NTM disease, and Mycobacterium avium is the most common NTM species. The clinical manifestations (fatigue, anorexia) and laboratory tests (hemoglobin, albumin, procalcitonin, CD4 + T lymphocyte count, CD8 + T lymphocyte count) of AIDS patients with disseminated NTM disease and non-disseminated NTM disease are different, while the prognosis is not significantly different.

Objective:To investigate the value of cystatin C (Cys-C) in the early diagnosis of acute kidney injury (AKI) after radical nephrectomy and the predictive value for the prognosis of Cys-C based estimated glomerular filtration rate (eGFR Cys-C) after surgery. Methods:The clinical data of 118 patients who underwent unilateral radical nephrectomy in our hospital from January 2019 to December 2020 were retrospectively analyzed. According to the diagnostic criteria of AKI, they were divided into AKI group of 75 cases and no-AKI group of 43 cases. AKI group was (62.7±10.7) years old, with 49 males and 26 females. The no-AKI group was (62.3±12.8) years old, with 21 males and 22 females. The urea nitrogen was (4.9±1.3) mmol/L, creatinine (75.7±14.5)μmol/L, Cys-C (0.85±0.22) mg/L, eGFR Cr(76.3±11.2)ml/(min·1.73m 2), and eGFR Cys-C(101.4±17.4)ml/(min·1.73m 2)in AKI group before operation.In no-AKI group, preoperative urea nitrogen was (4.9±1.5) mmol/L, creatinine (74.5±13.1)μmol/L, Cys-C (0.81±0.29) mg/L, eGFR Cr(78.6±12.5)ml/(min·1.73m 2), and eGFR Cys-C(99.3±18.8)ml/(min·1.73m 2), and there were no significant differences in the values of urea nitrogen, creatinine, Cys-C and eGFR between the two groups before surgery ( P>0.05). ROC curve was used to analyze the diagnostic value of urea nitrogen, creatinine, Cys-C, eGFR calculated based on creatinine and Cys-C at 48h after surgery, and binary Logistic regression was used to analyze the risk factors for AKI. The creatinine status of patients diagnosed with SPS was evaluated 6 months after surgery, based on the definition of Cys-C based eGFR being less than 70% of creatinine-based eGFR(SPS=eGFR Cys-C/ eGFR Cr≤0.7). Results:In AKI group, creatinine was(115.2±22.1)μumol/L, Cys-C (1.8±0.27) mg/L, eGFR Cr (51.6±9.6)ml/(min·1.73m 2), and eGFR Cys-C(43.4±8.5)ml/(min·1.73m 2)48 h after operation. The creatinine was(92.7±13.3)μmol/L, Cys-C(1.3±0.23) mg/L, eGFR Cr(62.2±11.3)ml/(min·1.73m 2), and eGFR Cys-C(61.5±9.5)ml/(min·1.73m 2) in no-AKI group, and difference were statistically significant between the two groups ( P<0.01). ROC curve was used to analyze the diagnosis of AKI. Creatinine, Cys-C, eGFR Cr and eGFR Cys-Cwere all of diagnostic value for AKI (all P<0.01), and AUC(Area under curve) were 0.809, 0.889, 0.761 and 0.925 respectively. The sensitivity, specificity and area under the curve of eGFR Cys-C were 93.3%, 74.4% and 92.5% respectively. Binary Logistic regression analysis showed that creatinine( OR=10.851, 95% CI 2.322-50.688, P=0.004), Cys-C( OR=10.016, 95% CI 2.306-43.362, P=0.001), eGFR Cr( OR=17.923, 95%CI 3.216-53.172, P=0.001) and eGFR Cys-C( OR=19.817, 95% CI 3.367-55.263, P=0.001)were all independent risk factors for AKI. The predictive accuracy of eGFR Cys-C, creatinine, Cys-C, eGFR Cr were 91.6%, 85.7%, 90.2%, 88.5%, respectively. There were 15 cases were confirmed SPS in the AKI group, and only 2 cases were confirmed SPS in the no-AKI group, indicating patients in the AKI group developed more SPS than those in the no-AKI group, with statistically significant difference(Kappa value was 5.22, P=0.02). The 6-month follow-up showed that the creatinine of confirmed SPS was (103.8±23.4)μmol/L and the creatinine of unconfirmed SPS was (86.8±27.2)μmol/L, with statistically significant difference ( P<0.01). Conclusions:eGFR Cys-C calculated based on Cys-C has high sensitivity in diagnosing AKI and has early diagnostic value. Patients diagnosed with SPS based on eGFR Cys-C had higher creatinine 6 months after surgery.