Objective To screen the risk factors for hypoglycemia in adult intensive care unit(ICU)patients,construct a risk prediction model,and validate its predictive effect.Methods A retrospective study was conducted on adult critically ill patients admitted to the general ICU of Hospital of Chengdu University of Traditional Chinese Medicine from December 2023 to September 2024.Patients admitted from December 2023 to June 2024 served as the modeling group,and those from July to September 2024 as the validation group.A total of 928 patients were included,with 650 in the modeling group and 278 in the validation group.After literature review and expert consultation,27 potential risk factors for hypoglycemia in ICU patients were initially screened,and data were collected including general information[gender,age,acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)score,sequential organ failure assessment(SOFA)score,nutrition risk in critically ill(NUTRIC)score,mechanical ventilation status,hemodialysis status,enteral nutrition status],disease data(sepsis,liver disease history,kidney disease history,diabetes history,hypoglycemia history),blood glucose-related indicators[mean blood glucose,blood glucose coefficient of variation,insulin dosage,intravenous insulin titration use,inotropic drug use,insulin secretagogues(Sulfonylureas and Glinides),and combined use of hypoglycemic drugs(two or more)],and laboratory indicators[serum creatinine(SCr),blood urea nitrogen(BUN),serum albumin(Alb),alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBil),glomerular filtration rate(GFR)].The patients were divided into a hypoglycemia group and a non-hypoglycemia group based on the occurrence of hypoglycemia.Univariate analysis and binary Logistic regression analysis were used to identify influencing factors of hypoglycemia in adult ICU patients,and a nomogram prediction model was constructed.The area under the receiver operator characteristic curve(AUC)and calibration curves were employed to evaluate the discrimination and calibration of the model.Results The modeling cohort included 552 non-hypoglycemic patients and 98 hypoglycemic patients,with an ICU hypoglycemia incidence rate of 15.1％.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with renal disease history,diabetes history,hypoglycemia history,undergoing hemodialysis,using intravenous insulin titration,and combined use of hypoglycemic drugs,as well as lower blood glucose coefficient of variation,lower APACHEⅡ scores,and significantly elevated GFR(all P<0.05).Binary Logistic regression analysis was performed using the 9 variables with statistically significant differences in univariate analysis as independent variables and hypoglycemia occurrence as the dependent variable.The results indicated that a history of diabetes,a history of hypoglycemia,APACHEⅡ score,GFR,blood glucose coefficient of variation,and combined use of hypoglycemic drugs were independent risk factors for hypoglycemia in ICU patients[odds ratios(OR)were 1.761,2.095,1.048,0.990,1.029,and 1.975,respectively,and 95％confidence intervals(95％CI)were 1.052-2.949,1.220-3.600,1.022-1.074,0.982-0.997,1.013-1.046,and 1.145-3.408,respectively.The corresponding Pvalues were 0.031,0.007,0.000,0.009,<0.001,0.014].A nomogram prediction model for hypoglycemia in ICU patients was constructed using six independent predictors selected through binary logistic regression analysis.The ROC curve AUC for the modeling group was 0.884(95％CI 0.826-0.941,P=0.250),with a maximum Youden index of 0.713,sensitivity of 92.1％,and specificity of 79.2％.The validation cohort included 38 patients with hypoglycemia and 240 patients without hypoglycemia.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with a history of diabetes,a history of hypoglycemia,and combined use of hypoglycemic drugs,as well as lower APACHEⅡ scores and lower blood glucose coefficient of variation,with significantly increased GFR(all P<0.05).The ROC curve AUC for the validation cohort was 0.803(95％CI was 0.757-0.849,P=0.138),indicating high discriminatory ability.The predicted probability at the diagnostic cutoff point was P=0.138.The model's diagnostic threshold for predicted probability was P=0.138,while the optimal cut-off value based on the Youden index was 0.513,yielding a sensitivity of 76.5％and specificity of 74.8％,indicating predictive value for hypoglycemia in adult ICU patients.The mean absolute error(MAE)results for the modeling group and validation group were<0.05.The calibration curves of both the modeling and validation groups showed close alignment with the ideal curve,indicating excellent calibration performance of the model.Conclusion The constructed hypoglycemia risk prediction model for adult ICU patients has good predictive performance,which can quickly identify high-risk populations of hypoglycemia in ICU and provide reference for clinical preventive nursing.

Objective To screen the risk factors for hypoglycemia in adult intensive care unit(ICU)patients,construct a risk prediction model,and validate its predictive effect.Methods A retrospective study was conducted on adult critically ill patients admitted to the general ICU of Hospital of Chengdu University of Traditional Chinese Medicine from December 2023 to September 2024.Patients admitted from December 2023 to June 2024 served as the modeling group,and those from July to September 2024 as the validation group.A total of 928 patients were included,with 650 in the modeling group and 278 in the validation group.After literature review and expert consultation,27 potential risk factors for hypoglycemia in ICU patients were initially screened,and data were collected including general information[gender,age,acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)score,sequential organ failure assessment(SOFA)score,nutrition risk in critically ill(NUTRIC)score,mechanical ventilation status,hemodialysis status,enteral nutrition status],disease data(sepsis,liver disease history,kidney disease history,diabetes history,hypoglycemia history),blood glucose-related indicators[mean blood glucose,blood glucose coefficient of variation,insulin dosage,intravenous insulin titration use,inotropic drug use,insulin secretagogues(Sulfonylureas and Glinides),and combined use of hypoglycemic drugs(two or more)],and laboratory indicators[serum creatinine(SCr),blood urea nitrogen(BUN),serum albumin(Alb),alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBil),glomerular filtration rate(GFR)].The patients were divided into a hypoglycemia group and a non-hypoglycemia group based on the occurrence of hypoglycemia.Univariate analysis and binary Logistic regression analysis were used to identify influencing factors of hypoglycemia in adult ICU patients,and a nomogram prediction model was constructed.The area under the receiver operator characteristic curve(AUC)and calibration curves were employed to evaluate the discrimination and calibration of the model.Results The modeling cohort included 552 non-hypoglycemic patients and 98 hypoglycemic patients,with an ICU hypoglycemia incidence rate of 15.1％.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with renal disease history,diabetes history,hypoglycemia history,undergoing hemodialysis,using intravenous insulin titration,and combined use of hypoglycemic drugs,as well as lower blood glucose coefficient of variation,lower APACHEⅡ scores,and significantly elevated GFR(all P<0.05).Binary Logistic regression analysis was performed using the 9 variables with statistically significant differences in univariate analysis as independent variables and hypoglycemia occurrence as the dependent variable.The results indicated that a history of diabetes,a history of hypoglycemia,APACHEⅡ score,GFR,blood glucose coefficient of variation,and combined use of hypoglycemic drugs were independent risk factors for hypoglycemia in ICU patients[odds ratios(OR)were 1.761,2.095,1.048,0.990,1.029,and 1.975,respectively,and 95％confidence intervals(95％CI)were 1.052-2.949,1.220-3.600,1.022-1.074,0.982-0.997,1.013-1.046,and 1.145-3.408,respectively.The corresponding Pvalues were 0.031,0.007,0.000,0.009,<0.001,0.014].A nomogram prediction model for hypoglycemia in ICU patients was constructed using six independent predictors selected through binary logistic regression analysis.The ROC curve AUC for the modeling group was 0.884(95％CI 0.826-0.941,P=0.250),with a maximum Youden index of 0.713,sensitivity of 92.1％,and specificity of 79.2％.The validation cohort included 38 patients with hypoglycemia and 240 patients without hypoglycemia.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with a history of diabetes,a history of hypoglycemia,and combined use of hypoglycemic drugs,as well as lower APACHEⅡ scores and lower blood glucose coefficient of variation,with significantly increased GFR(all P<0.05).The ROC curve AUC for the validation cohort was 0.803(95％CI was 0.757-0.849,P=0.138),indicating high discriminatory ability.The predicted probability at the diagnostic cutoff point was P=0.138.The model's diagnostic threshold for predicted probability was P=0.138,while the optimal cut-off value based on the Youden index was 0.513,yielding a sensitivity of 76.5％and specificity of 74.8％,indicating predictive value for hypoglycemia in adult ICU patients.The mean absolute error(MAE)results for the modeling group and validation group were<0.05.The calibration curves of both the modeling and validation groups showed close alignment with the ideal curve,indicating excellent calibration performance of the model.Conclusion The constructed hypoglycemia risk prediction model for adult ICU patients has good predictive performance,which can quickly identify high-risk populations of hypoglycemia in ICU and provide reference for clinical preventive nursing.

Objective To summarize the occurrence of complications in renal graft biopsy,and to analyze the indications for puncture and types of pathological diagnosis.Methods The data of 703 samples of ultrasound-guided renal graft biopsy from 644 kidney transplant recipients from January 1,2017,to December 31,2022 was retrospectively analyzed.The puncture qualification rate,complications,indicative biopsy indications and pathological diagnosis types were analyzed.The application of surveillance biopsy and pathological diagnosis were also analyzed.Results The qualification rate of renal tissue puncture biopsy was 99.9％,and the complications of puncture bleeding included one sample of perinephric hematoma and one sample of hematuria.Increased serum creatinine(76.8％)and proteinuria(13.8％)were the main indications for puncture,and 48 samples(6.8％)were surveillance biopsy for the assessment of therapeutic effects.A total of 399 samples of pathological diagnosis of rejection,including 293 samples of cellular rejection reaction,60 samples of antibody rejection reaction,and 46 samples of mixed rejection reaction.One hundred and ninety-five samples of recurrence or new-onset kidney disease,mainly including 144 samples of IgA nephropathy and 42 samples of focal segmental glomerulosclerosis.Fifty-seven samples of infection related kidney disease,including 56 samples of BK virus-associated nephropathy(BKVAN).Thirty-one samples of calcineurin inhibitor(CN1)nephrotoxicity injury,including 15 samples of acute CNI nephrotoxicity injury and 16 samples of chronic CNI nephrotoxicity injury.Forty-five samples for other diagnoses.Conclusions The success rate and safety of renal graft biopsy are high,and at present,cellular rejection reaction is still the main pathological diagnosis of indicative biopsy for renal graft.

Objective:To evaluate the effect of the impaction of posterior wall on the prognosis following open reduction and internal fixation for fractures of acetabular posterior wall.Methods:A retrospective study was conducted to analyze the data from the 83 patients with fracture of acetabular posterior wall who had been consecutively treated by open reduction and internal fixation at Department of Orthopaedics and Traumatology, Beijing Jishuitan Hospital from January 2017 to December 2020. The patients were divided into 2 groups based on involvement of posterior wall impaction. In the impaction group of 33 cases, there were 26 males and 7 females with an age of (47.4±11.6) years; in the non-impaction group of 50 cases, there were 43 males and 7 females with an age of (41.3±12.0) years. The quality of postoperative fracture reduction, the function of the affected hip at the last follow-up, and the complication rate during follow-up were compared between the 2 groups. Multifactorial binary logistic regression and age subgroups were used to analyze the effects of posterior wall impaction on functional outcomes.Results:The age, rate of associated injuries in other body parts, and rate of posterior wall comminution in the impaction group were significantly higher than those in the non-impaction group ( P<0.05), but there was no statistically significant difference in other general data of patients between the 2 groups ( P>0.05). All patients were followed up for (44.5±13.3) months after surgery. The rate of anatomical reduction in the non-impaction group (96.0%, 48/50) was significantly higher than that in the impaction group (57.6%, 19/33) ( P<0.05), and the good and excellent rate by the modified Merle d'Aubigné & Postel scale at the last follow-up in the non-impaction group (84.0%, 42/50) was significantly higher than that in the impaction group (51.5%, 17/33) ( P<0.05). There was no significant difference in the incidence of complications between the 2 groups ( P>0.05). After adjusting for age and gender, the difference in hip function was still significantly different between the 2 groups ( OR=0.23, 95% CI: 0.06 to 0.79, P=0.020). The effect of posterior wall impaction on functional outcomes was statistically significant in patients aged ≥50 years ( P=0.008), whereas the difference was not statistically significant in patients aged <50 years ( P=0.194). Conclusions:Compared with non-impaction ones, acetabular fractures of posterior wall impaction tend to lead to poorer quality of reduction, which in turn affects the postoperative recovery of hip joint function. The impact of impaction fractures on functional recovery is more significant in patients aged 50 years and above.

Objective:To explore the attitude of kidney transplant (KT) recipients towards xenotransplantation and explore its related influencing factors to provide auxiliary references for the clinical research of xenotransplantation in China.Methods:The questionnaire data of "Attitude survey of KT recipients towards xenotransplantation" were collected from 194 KT recipients followed up at Organ Transplant Center of Affiliated Tongji Hospital. Nonparametric tests were utilized for comparing score differences and χ2 tests for comparing responses to specific questions. Variables with statistical significance in non-parametric test were included into multifactor linear regression analysis for exploring the influencing factors of recipients' attitudes towards xenotransplantation. Results:KT recipients had a higher score (75 points) on attitude scale of xenotransplantation. "Cognitive preference" dimension scored the highest (85 points); "Fear of risk" dimension scored lowest (50 points). The results of univariate analysis indicated that gender ( P=0.020), medical background ( P=0.006) and knowledge of clinical trial cases ( P<0.001) were the influencing factors of score of cognitive preference. Educational background ( P=0.029) was the factor affecting the score of "risk concern" dimension. Age ( P=0.028) and knowledge of clinical trial cases ( P=0.001) were the factors influencing the score of "psychosocial" dimension. Whether medical background ( P=0.018) and knowledge of clinical trial cases ( P=0.008) were the factors influencing the score of "efficacy expectation" dimension; Gender ( P=0.010), medical background ( P=0.018) and knowledge of clinical trial cases ( P=0.008) were the factors influencing total score. The results of multi-factor analysis revealed that gender ( B=-0.821, 95% CI: -1.419~0.223, P=0.007), medical background ( B=0.938, 95% CI: 0.097~1.779, P=0.029) and knowledge of clinical trials of xenotransplantation in the United States ( B=1.498, 95% CI: 0.887~2.110, P<0.001) was the influencing factor of cognitive preference. Educational background (B=-0.693, 95% CI: -1.353~-0.034, P=0.040) was the influencing factor of score on "risk concern" dimension. Knowledge of clinical trials of xenotransplantation in the United States ( B=1.075, 95% CI: 0.418~1.731, P=0.001) was an influencing factor of score on "social psychological" dimension; Knowledge of clinical trials of xenotransplantation in the United States ( B=0.710, 95% CI: 0.063~1.358, P=0.032) was an influencing factor of score on "efficacy expectation" dimension; Gender ( B=-2.259, 95% CI: -4.094~-0.423, P=0.016), medical background ( B=2.799, 95% CI: 0.219~5.378, P=0.034) and knowledge of clinical trials of xenotransplantation in the United States ( B=3.237, 95% CI: 1.360~5.114, P=0.001) were the influencing factors of total score. Conclusions:KT recipients have a higher awareness rate of xenotransplantation and a better acceptance of xenotransplantation in general. Those males with medical background and knowing clinical cases of xenotransplantation demonstrate a better attitude towards xenotransplantation. More concerned about the risk of infection, respondents expect heterologous pig kidneys to achieve the same long-term survival as allogeneic kidneys.

Objective:To explore the efficacy and safety of daratumumab in late antibody-mediated rejection (late AMR) after kidney transplantation (KT).Methods:From December 2020 to December 2021, the relevant clinical data were reviewed for 8 patients with late AMR after receiving daratumumab at Affiliated Tongji Hospital. In intensive phase, the combination of plasma exchange (PP)/intravenous immunoglobulin (IVIG) and daratumumab were dosed once a week; in maintenance phase, once every 2 to 4 weeks. The levels of donor-specific antibody (DSA) and renal function were compared pre-treatment and Month 3/12 post-treatment. The treatment-related toxicities were observed. Independent sample T test was utilized for inter-group comparison.Results:The median treatment course during intensive period was 9(4-17) sessions. Maintenance treatment lasted for 5 to 19 months and 2 cases withdrew after 5 to 6 treatments for achieving antibody clearance. A total of 11 DSAs were detected in 8 recipients. At Month 3/12, mean fluorescent intensity (MFI) of DSA was 6 016±4 775 and 6 438±3 668. Both were significantly lower than 11 944±5 237 pre-treatment and the difference was statistically significant ( P=0.012, 0.004). Seven recipients achieved stable renal function during treatment and one recipient resumed hemodialysis at Month 18 due to acute rejection. Glomerular filtration rate of 7 recipients was (40.6±20.1), (53.6±20.9) and (49.0±17.2) ml·min -1· (1.73 m 2) -1 pre-treatment and Month 3/12 and no significant differences existed among different timepoints. During follow-ups, 2 cases developed mild nasal congestion during an early stage of daratumumab infusion while the remainders had no obvious discomfort during infusion and tolerance was decent. Conclusion:Early combination of daratumumab with PP/IVIG, followed by a course of daratumumab has demonstrated an excellent antibody reduction effect on late AMR. During treatment, renal function remains generally stable.

Humans ; Gallbladder Neoplasms/pathology* ; Liver Neoplasms/pathology* ; Immunotherapy

Renal tubular injury in patients with diabetic kidney disease(DKD) may be accompanied by glomerular and microvascular diseases. It plays a critical role in the progression of renal damage in DKD, and is now known as diabetic tubulopathy(DT). To explore the multi-targeted therapeutic effects and pharmacological mechanisms in vivo of total flavones of Abelmoschus manihot(TFA), an extract from traditional Chinese medicine for treating kidney disease, in attenuating DT, the authors randomly divided all rats into four groups: a normal control group(normal group), a DT model group(model group), a DT model+TFA-treated group(TFA group) and a DT model+rosiglitazone(ROS)-treated group(ROS group). The DT rat model was established based on the DKD rat model by means of integrated measures. After successful modeling, the rats in the four groups were continuously given double-distilled water, TFA suspension, and ROS suspension, respectively by gavage every day. After 6 weeks of treatment, all rats were sacrificed, and the samples of their urine, blood, and kidneys were collected. The effects of TFA and ROS on various indicators related to urine and blood biochemistry, renal tubular injury, renal tubular epithelial cell apoptosis and endoplasmic reticulum stress(ERS), as well as the activation of the protein kinase R-like endoplasmic reticulum kinase(PERK)-eukaryotic translation initiation factor 2α(eIF2α)-activating transcription factor 4(ATF4)-C/EBP homologous protein(CHOP) signaling pathway in the kidney of the DT model rats were investigated. The results indicated that hypertrophy of renal tubular epithelial cells, renal tubular hyperplasia and occlusion, as well as interstitial extracellular matrix and collagen deposition occurred in the DT model rats. Moreover, significant changes were found in the expression degree and the protein expression level of renal tubular injury markers. In addition, there was an abnormal increase in tubular urine proteins. After TFA or ROS treatment, urine protein, the characteristics of renal tubular injury, renal tubular epithelial cell apoptosis and ERS, as well as the activation of the PERK-eIF2α-ATF4-CHOP signaling pathway in the kidney of the DT model rats were improved to varying degrees. Therein, TFA was superior to ROS in affecting the pathological changes in renal tubule/interstitium. In short, with the DT model rats, this study demonstrated that TFA could attenuate DT by multiple targets through inhibiting renal tubular ERS-induced cell apoptosis in vivo, and its effect and mechanism were related to suppressing the activation of the PERK-eIF2α-ATF4-CHOP signaling pathway in the kidney. These findings provided preliminary pharmacological evidence for the application of TFA in the clinical treatment of DT.
Rats ; Animals ; Abelmoschus ; Reactive Oxygen Species/metabolism* ; Flavones/pharmacology* ; Endoplasmic Reticulum Stress ; Diabetic Nephropathies/drug therapy* ; Apoptosis ; Diabetes Mellitus

The Omicron variant of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly contagious, but compared to early virus typing has milder symptoms and better prognosis.This article reviewed and analyzed the clinical characteristics, treatment, prognosis and vaccination effect of Omicron infection in Kidney transplant recipients (KTR) in recent years.The clinical manifestations of KTR infected with Omicron and the comparison with early variants, the clinical characteristics of KTR infected with Omicron compared with the general population, the treatment of KTR infected with Omicron after foreign countries, the effect of vaccination on KTR to prevent Omicron and the measures to increase the ted of vaccine, the summary of the prevention and treatment of KTR infected with Omicron abroad and the experience and the shortcomings of the current researches were analyzed and summarized.

After continuous efforts from generations of transplant surgeons, kidney transplantation (KT) has become an optimal treatment for end-stage renal disease.However, an imbalance between supply and demand of organs has always restricted the development of KT.For this clinical dilemma, xenotransplantation is expected to become one practical alternative for alleviating organ shortage.This review summarized recent literature reports of kidney xenotransplantation and the latest cases of pig-to-human kidney and heart transplantations.Also clinical transformations and applications of kidney xenotransplantation were discussed.