Objective:To explore the correlation between the intensity of net ultrafiltration in continuous renal replacement therapy (CRRT) and the survival prognosis in critically ill patients with acute kidney injury (AKI), and provide evidence-based references for establishing optimal net ultrafiltration target during CRRT.Methods:This was a retrospective observational study. Demographic and clinical data of critically ill AKI patients who received CRRT in the Intensive Care Unit of West China Hospital, Sichuan University from May 2021 to September 2023 were collected. Net ultrafiltration was defined as the hourly fluid clearance volume in the 72 hours prior of CRRT. This variable was converted into a categorical variable, including low net ultrafiltration <1.01 ml·kg -1·h -1, moderate net ultrafiltration 1.01-1.38 ml·kg -1·h -1 and high net ultrafiltration >1.38 ml·kg -1·h -1, and the differences of baseline characteristics and clinical treatment conditions among the three groups were compared. Kaplan-Meier survival curve and log-rank test were used to compare the survival conditions among the three groups in patients at 28 days and 60 days after CRRT. Logistic regression analysis method was used to analyze the related factors of mortality in patients 28 days and 60 days after CRRT. Results:This study included a total of 661 critically ill AKI patients who underwent CRRT for more than 72 hours. The age was 56.00 (43.00, 68.00) years, and 488 patients (73.83%) were males. The net ultrafiltration rate was 1.36 (0.94, 1.89) ml·kg -1·h -1. Among them, 188 patients (28.44%) were in the low net ultrafiltration group, 152 patients (23.00%) were in the medium net ultrafiltration group, and 321 patients (48.56%) were in the high net ultrafiltration group. There were statistically significant differences among the three groups in terms of gender distribution ( χ2=17.81, P<0.001), body mass index ( H=32.37, P<0.001), urine volume 24 hours before admission ( H=9.41, P=0.009), fluid overload ( H=6.02, P=0.049), platelets ( H=13.49, P=0.001), pro-B type natriuretic peptide ( H=14.18, P<0.001), serum creatinine ( H=9.66, P=0.008), lactate ( H=9.83, P=0.007), AKI stage distribution ( χ2=15.51, P=0.004), admission indication ( P<0.001), total CRRT duration ( H=8.45, P=0.015), ultrafiltration ( H=456.10, P<0.001), net ultrafiltration ( H=561.20, P<0.001), and vasoactive-inotropic score at 72 hours of CRRT treatment ( H=10.42, P=0.005). Kaplan-Meier survival analysis showed that there were statistically significant differences in the 28-day (Log-rank test, χ2=10.89, P=0.004) and 60-day (Log-rank test, χ2=8.55, P=0.014) survival rates among the three groups in patients after CRRT. Multivariate logistic regression analysis showed age ( OR=1.03, 95% CI 1.02-1.04, P<0.001), mean arterial pressure ( OR=0.98, 95% CI 0.97-1.00, P=0.011), bilirubin ( OR=3.02,95% CI 1.39-5.59, P=0.006), 72-hour vasoactive-inotropic score ( OR=1.01, 95% CI 1.00-1.02, P=0.004), low net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.66, 95% CI 1.02-2.72, P=0.042), and high net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.78, 95% CI 1.14-2.78, P=0.011) were independent correlated factors of 28-day mortality after CRRT. Age ( OR=1.02，95% CI 1.01-1.04， P<0.001), mean arterial pressure ( OR=0.98，95% CI 0.97-1.00， P=0.016), fluid overload ( OR=1.10, 95% CI 1.02-1.19, P=0.012), bilirubin ( OR=4.96，95% CI 1.00-17.80， P=0.013), 72-hour vasoactive-inotropic score ( OR=1.02，95% CI 1.01-1.03， P=0.003), and high net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.91，95% CI 1.22-3.00， P=0.005) were independent correlated factors of 60-day mortality after CRRT. Conclusions:During the first 72 hours of CRRT, net ultrafiltration > 1.38 ml·kg -1·h -1 and net ultrafiltration < 1.01 ml·kg -1·h -1 are associated with a higher mortality rate at 28 days or 60 days after CRRT. Net ultrafiltration of 1.01-1.38 ml·kg -1·h -1 may be a relatively safe range.

Objective:To explore the correlation between the intensity of net ultrafiltration in continuous renal replacement therapy (CRRT) and the survival prognosis in critically ill patients with acute kidney injury (AKI), and provide evidence-based references for establishing optimal net ultrafiltration target during CRRT.Methods:This was a retrospective observational study. Demographic and clinical data of critically ill AKI patients who received CRRT in the Intensive Care Unit of West China Hospital, Sichuan University from May 2021 to September 2023 were collected. Net ultrafiltration was defined as the hourly fluid clearance volume in the 72 hours prior of CRRT. This variable was converted into a categorical variable, including low net ultrafiltration <1.01 ml·kg -1·h -1, moderate net ultrafiltration 1.01-1.38 ml·kg -1·h -1 and high net ultrafiltration >1.38 ml·kg -1·h -1, and the differences of baseline characteristics and clinical treatment conditions among the three groups were compared. Kaplan-Meier survival curve and log-rank test were used to compare the survival conditions among the three groups in patients at 28 days and 60 days after CRRT. Logistic regression analysis method was used to analyze the related factors of mortality in patients 28 days and 60 days after CRRT. Results:This study included a total of 661 critically ill AKI patients who underwent CRRT for more than 72 hours. The age was 56.00 (43.00, 68.00) years, and 488 patients (73.83%) were males. The net ultrafiltration rate was 1.36 (0.94, 1.89) ml·kg -1·h -1. Among them, 188 patients (28.44%) were in the low net ultrafiltration group, 152 patients (23.00%) were in the medium net ultrafiltration group, and 321 patients (48.56%) were in the high net ultrafiltration group. There were statistically significant differences among the three groups in terms of gender distribution ( χ2=17.81, P<0.001), body mass index ( H=32.37, P<0.001), urine volume 24 hours before admission ( H=9.41, P=0.009), fluid overload ( H=6.02, P=0.049), platelets ( H=13.49, P=0.001), pro-B type natriuretic peptide ( H=14.18, P<0.001), serum creatinine ( H=9.66, P=0.008), lactate ( H=9.83, P=0.007), AKI stage distribution ( χ2=15.51, P=0.004), admission indication ( P<0.001), total CRRT duration ( H=8.45, P=0.015), ultrafiltration ( H=456.10, P<0.001), net ultrafiltration ( H=561.20, P<0.001), and vasoactive-inotropic score at 72 hours of CRRT treatment ( H=10.42, P=0.005). Kaplan-Meier survival analysis showed that there were statistically significant differences in the 28-day (Log-rank test, χ2=10.89, P=0.004) and 60-day (Log-rank test, χ2=8.55, P=0.014) survival rates among the three groups in patients after CRRT. Multivariate logistic regression analysis showed age ( OR=1.03, 95% CI 1.02-1.04, P<0.001), mean arterial pressure ( OR=0.98, 95% CI 0.97-1.00, P=0.011), bilirubin ( OR=3.02,95% CI 1.39-5.59, P=0.006), 72-hour vasoactive-inotropic score ( OR=1.01, 95% CI 1.00-1.02, P=0.004), low net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.66, 95% CI 1.02-2.72, P=0.042), and high net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.78, 95% CI 1.14-2.78, P=0.011) were independent correlated factors of 28-day mortality after CRRT. Age ( OR=1.02，95% CI 1.01-1.04， P<0.001), mean arterial pressure ( OR=0.98，95% CI 0.97-1.00， P=0.016), fluid overload ( OR=1.10, 95% CI 1.02-1.19, P=0.012), bilirubin ( OR=4.96，95% CI 1.00-17.80， P=0.013), 72-hour vasoactive-inotropic score ( OR=1.02，95% CI 1.01-1.03， P=0.003), and high net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.91，95% CI 1.22-3.00， P=0.005) were independent correlated factors of 60-day mortality after CRRT. Conclusions:During the first 72 hours of CRRT, net ultrafiltration > 1.38 ml·kg -1·h -1 and net ultrafiltration < 1.01 ml·kg -1·h -1 are associated with a higher mortality rate at 28 days or 60 days after CRRT. Net ultrafiltration of 1.01-1.38 ml·kg -1·h -1 may be a relatively safe range.

Objective: To analyze the status of personnel in occupational disease prevention and treatment institutions in Hunan Province, China, from 1996 to 2015, to predict staff composition using grey model (GM) (1, 1) , and to provide a scientific basis and reference for optimizing human resource planning of occupational disease prevention and treatment in other provinces and regions and promoting the service capacity of the institutions. Methods: The data of the staff in occupational disease prevention and treatment institutions in Hunan Province, China, from 1996 to 2015 were obtained from the established basic information management system. The descriptive analysis method was used to analyze the dynamic changes in number and composition of the staff and the GM (1, 1) was used to predict the staff composition. Results: The numbers of the staff members in 1996 and 2015 in occupational disease prevention and treatment institutions in Hunan Province, China were 1591 and 1429, respectively. In the twenty years, the main education level of the staff transformed from "technical secondary school education and non-academic qualifications" to "bachelor degree or above and college degree"; the main major of the staff transformed from "other majors" to "public health and clinical medicine"; the proportion of the staff members without professional titles changed from >1/3 to 5%; and the proportions of the staff members with senior, intermediate, and junior professional titles were steadily rising. GM prediction showed that the proportions of highly educated staff members in 2018 and 2020 would be up to 41.00% and 45.61%, respectively; and the proportions of the staff members with a major in public health in 2018 and 2020 would be up to 44.15% and 46.60%, respectively. Conclusion The staff in occupational disease prevention and treatment institutions in Hunan Province, China, in the twenty years have slight changes in staff size and great improvement in staff quality, which is beneficial to sustainable development of the occupational disease prevention and treatment undertakings. The education level and major will be further optimized in the next five years.

One group of Bcl-2 protein family, which shares only the BH3 domain (BH3-only), is critically involved in the regulation of programmed cell death. Herein we demonstrated a novel human BH3-only protein (designated as Bop) which could induce apoptosis in a BH3 domain-dependent manner. Further analysis indicated that Bop mainly localized to mitochondria and used its BH3 domain to contact the loop regions of voltage dependent anion channel 1 (VDAC1) in the outer mitochondrial membrane. In addition, purified Bop protein induced the loss of mitochondrial transmembrane potential (Δψm) and the release of cytochrome c. Furthermore, Bop used its BH3 domain to contact pro-survival Bcl-2 family members (Bcl-2, Bcl-X(L), Mcl-1, A1 and Bcl-w), which could inhibit Bop-induced apoptosis. Bop would be constrained by pro-survival Bcl-2 proteins in resting cells, because Bop became released from phosphorylated Bcl-2 induced by microtubule-interfering agent like vincristine (VCR). Indeed, knockdown experiments indicated that Bop was partially required for VCR induced cell death. Finally, Bop might need to function through Bak and Bax, likely by releasing Bak from Bcl-X(L) sequestration. In conclusion, Bop may be a novel BH3-only factor that can engage with the regulatory network of Bcl-2 family members to process intrinsic apoptotic signaling.
Amino Acid Sequence ; Animals ; Apoptosis ; Cell Line ; Cell Survival ; Humans ; Mice ; Mitochondria ; metabolism ; Mitochondrial Membranes ; metabolism ; Molecular Sequence Data ; Protein Structure, Tertiary ; Protein Transport ; Proto-Oncogene Proteins c-bcl-2 ; chemistry ; metabolism ; Signal Transduction ; Time Factors ; Voltage-Dependent Anion Channel 1 ; metabolism ; bcl-2 Homologous Antagonist-Killer Protein ; metabolism ; bcl-2-Associated X Protein ; metabolism