Noise is a common occupational hazard in workplaces. Long-term exposure to high-intensity noise mainly causes occupational noise-induced hearing loss (ONIHL). The development of ONIHL is irreversible, and there is currently no cure. At present, risk assessment methods based on noise exposure intensities mainly include risk index assessment method, Engineering Professional Council assessment method in United Kingdom (EDC assessment method in UK), National Institute of Occupational Safety and Health assessment method in United State (NIOSH assessment method in US), and International Standardization Organization assessment method (ISO assessment method). However, the risk index assessment method is subjective and does not consider the effectiveness of workers wearing protective equipment. The EDC assessment method in UK defines ONIHL differently from China. The NIOSH assessment method in US and ISO assessment methods have population data sources that deviate from China, which can lead to bias in risk assessment. In the future, it is necessary to further carry out application research on the risk assessment of ONIHL in Chinese noise-exposed workers, compare the applicabilities of various assessment methods, conduct large-sample population epidemiological studies for verification, and fully utilize the risk-prediction function to prevent and control ONIHL.

ObjectiveTo analyze the results of fit testing and its influencing factors on half-mask respirator among workers exposed to organic solvents. Methods A total of 84 workers exposed to organic solvents were selected as the research subjects using a convenience sampling method. The qualitative fit test apparatus of respiratory protection was tested after the workers had put on the half-mask respirats, and 11 facial indicators of the subjects were measured. Results The overall pass rate of the respirator fit testing was 71.4% (60/84). The lowest pass rate was 63.1% (53/84), which occurred during bending movements of workers. The head width, minimum forehead width, face length, nose length, nose depth, head circumference and head length were higher in workers who passed respirator fit testing, compared with those in the failing group (all P<0.05). The result of binary logistic regression analysis showed that gender and face width were influencing factors of the respirator fit testing (both P<0.05). Female workers had a lower pass rate of the fit testing than male workers, and workers with larger face width had a lower pass rate in the fit testing. Conclusion Drastic movement may lead to a decrease in the seal of half-mask respirator of workers exposed to organic solvents. When providing half-mask respirator to workers exposed to organic solvents, employers need to pay attention to the fit of respirators of female works and those with larger face width to ensure the effectiveness of respiratory protection for workers.

Urinary tract infection is the most common infectious complication after kidney transplantation.To further reduce the incidence of urinary tract infection after kidney transplantation,improve the diagnosis and treatment level of urinary tract infection after kidney transplantation in China,prevent the development of bacterial drug resistance and ensure the safety and effectiveness of drug use,Branch of Organ Transplantation of Chinese Medical Association organized experts in the fields of kidney transplantation and infectious diseases to consider clinical status of urinary tract infection after kidney transplantation in China,refer to"Diagnosis and Treatment of Urological and Andrological Diseases in China(2022 edition)"and"Urinary Tract Infection in Solid Organ Transplant Recipients in American Society of Transplantation Practical Guidelines for Infectious Diseases(2019 edition)",and formulate"Guidelines for Clinical Diagnosis and Treatment of Urinary Tract Infection in Kidney Transplant Recipients in China"from the perspectives of clinical classification and definition,epidemiology and etiology,diagnosis and treatment of urinary tract infection after kidney transplantation,respectively.

Objective:To understand the current situation of noise hazard in a motor manufacturing enterprise, and to explore the protective effect of workers wearing hearing protective device and its possible influencing factors.Methods:In November 2021, a total of 179 noise workers wearing hearing protective devices in a motor manufacturing company in a city were selected as research objects. Personal attenuation rating (PAR) of workers wearing hearing protective devices was measured. Baseline PAR was analyzed for different subgroups of basic demographic information, noise exposure, and the use of hearing protective devices to evaluate the effect of the intervention. Baseline PAR was compared using nonparametric tests.Results:There were 179 workers from 35 positions in 4 types of work, and the over-standard noise rate was 51.2% (42/82), among which the noise exposure intensity of motor equipment debugging workers was the highest [94.4 dB (A) ]. Compared the baseline PAR of different characteristics, it was found that the baseline PAR of male workers, workers whose daily noise exposure time were <8 h, workers who had used the hearing protective devices for 10 to 14 years, and workers who thought the hearing protective devices were comfortable were all higher, and the differences were statistically significant ( P<0.05). Baseline PAR passing rate was 43.0% (77/179), and PAR of 102 workers who did not pass baseline test increased from 0 (0, 3) dB before intervention to 14 (12, 16) dB after intervention, with statistical significance ( P<0.05) . Conclusion:The noise hazard in this motor manufacturing enterprise is serious, and the protective effect of workers wearing hearing protective devices is not good. Gender, daily noise exposure time, years and comfort of wearing hearing protective device are the possible influencing factors of poor protective effect.

Objective:To understand the current situation of noise hazard in a motor manufacturing enterprise, and to explore the protective effect of workers wearing hearing protective device and its possible influencing factors.Methods:In November 2021, a total of 179 noise workers wearing hearing protective devices in a motor manufacturing company in a city were selected as research objects. Personal attenuation rating (PAR) of workers wearing hearing protective devices was measured. Baseline PAR was analyzed for different subgroups of basic demographic information, noise exposure, and the use of hearing protective devices to evaluate the effect of the intervention. Baseline PAR was compared using nonparametric tests.Results:There were 179 workers from 35 positions in 4 types of work, and the over-standard noise rate was 51.2% (42/82), among which the noise exposure intensity of motor equipment debugging workers was the highest [94.4 dB (A) ]. Compared the baseline PAR of different characteristics, it was found that the baseline PAR of male workers, workers whose daily noise exposure time were <8 h, workers who had used the hearing protective devices for 10 to 14 years, and workers who thought the hearing protective devices were comfortable were all higher, and the differences were statistically significant ( P<0.05). Baseline PAR passing rate was 43.0% (77/179), and PAR of 102 workers who did not pass baseline test increased from 0 (0, 3) dB before intervention to 14 (12, 16) dB after intervention, with statistical significance ( P<0.05) . Conclusion:The noise hazard in this motor manufacturing enterprise is serious, and the protective effect of workers wearing hearing protective devices is not good. Gender, daily noise exposure time, years and comfort of wearing hearing protective device are the possible influencing factors of poor protective effect.

Objective:To summarize the clinical characteristics of central nerve system (CNS) infection and grasp the necessity and possibility of early diagnosis and precise intervention of CNS infection after renal transplantation.Methods:This retrospective study enrolled consecutive recipients of renal transplantation with CNS infection after transplant between January 2000 and December 2020. Correlative factors for CNS infection after renal transplant were determined by comparing the clinical data between recipients with and without CNS infection. After screening 3, 199 consecutive renal transplant recipients, 12 patients with CNS infection post-transplant were identified and recruited. The median age-of-onset was 48.5 (23-65) years. And the median time to disease onset after transplant was 50.5(1-204) months. The most common symptoms of CNS infection after renal transplant included fever (75.00%), consciousness disorder (58.33%), headache (58.33%) and neck rigidity (41.67%).Results:Hepatitis B virus carrier and pulmonary infection were correlated with CNS infection after transplantation ( P<0.05). Nine patients failed to identify the pathogen and only received empirical anti-infective regimen. The outcomes were curing ( n=3) and death ( n=6). Metagenomic sequencing was performed for identifying the pathogen in three recipients and actively adjusting the anti-infective regimen. As a result, 2 were cured and 1 died. The overall mortality was 58.33%. The median time to death or curing from disease onset were 20(2-19) and 25(16-35) days respectively in surviving and non-surviving recipients. Conclusions:The progress of CNS infection after transplantation is rapid with a high mortality. HBV carrier and pulmonary infection are possible risk factors of CNS infection after renal transplantation. Early pathogenic identification and precise etiological intervention are vital for better clinical outcomes.

OBJECTIVE: To analyze the characteristics of BK polymavirus (BKV) infection and the optimal time window for intervention in kidney transplant recipients (KTRs). METHODS: We retrospectively analyzed the clinical data and treatment regimens in 226 KTRs in our center between January, 2013 and January, 2018. Among the recipients, 157 had a urine BKV load ≥1.0×10 copy/mL after transplantation, and 69 had a urine BKV load below 1.0×10 copy/mL (control group). RESULTS: Among the 157 KTRs, 60 (38.2%) recipients were positive for urine BKV, 66 (42.0%) had BKV viruria, and 31(19.7%) had BKV viremia. The incidence of positive urine occult blood was significantly higher in BKV-positive recipients than in the control group ( < 0.05). The change of urine BKV load was linearly related to that of Tacrolimus trough blood level (=0.351, < 0.05). In urine BKV positive group, the average estimated glomerular filtration rate (eGFR) was below the baseline level (60 mL·min·1.73 m) upon diagnosis of BKV infection reactivation, and recovered the normal level after intervention. In patients with BKV viruria and viremia, the average eGFR failed to return to the baseline level in spite of improvement of the renal function after intervention. CONCLUSIONS Positive urine occult blood after transplantation may be associated with BKV infection reactivation in some of the KTRs. BKV infection is sensitive to changes of plasma concentration of immunosuppressive agents. Early intervention of BKV replication in KTRs with appropriate dose reduction for immunosuppression can help to control virus replication and stabilize the allograft function.
BK Virus ; physiology ; Humans ; Kidney Transplantation ; Polyomavirus Infections ; virology ; Retrospective Studies ; Transplant Recipients ; Tumor Virus Infections ; virology ; Viral Load ; Virus Replication

OBJECTIVETo investigate the relationship between acute graft rejection early after renal transplantation and the variations of platelet parameters.

METHODSWe retrospectively analyzed the clinical data of 167 renal transplant recipients before and within 2 months after the surgery. Before and at 1-10 days, 15 days, 30 days, 45 days and 60 days after the transplantation, 5 platelet parameters, including platelet count (PLT), platelet hematocrit (PCT), mean platelet volume (MPV), platelet volume distribution width (PDW), and large platelet ratio (P-LCR), were detected in the 35 patients with acute graft rejection within two months (AR group) and in the other 132 recipients with good graft recovery (control group).

RESULTSThe AR group and control group showed no significant difference in PLT, PCT, MPV, or P-LCR before the surgery, but the PDW was significantly higher in the AR group (t=2.18, P=0.035). These parameters were similar within 5 postoperative days between the two groups (P>0.05), but in postoperative days 6-15, the AR group showed significantly increased MPV, PDW and P-LCR compared with the control group (P<0.05). In postoperative days 6-9, MPV, PDW and P-LCR became stable in AR group but tended to decrease in the control group, showing obviously different patterns of variation between the two groups (P<0.05).

CONCLUSIONSPreoperative PDW may have a positive correlation with acute graft rejection after renal transplantation. Monitoring the variations of MPV, PDW and P-LCR may help in the diagnosis of acute graft rejection early after renal transplantation.

Objective To investigate the relationship between acute graft rejection early after renal transplantation and the variations of platelet parameters. Methods We retrospectively analyzed the clinical data of 167 renal transplant recipients before and within 2 months after the surgery. Before and at 1-10 days, 15 days, 30 days, 45 days and 60 days after the transplantation, 5 platelet parameters, including platelet count (PLT), platelet hematocrit (PCT), mean platelet volume (MPV), platelet volume distribution width (PDW), and large platelet ratio (P-LCR), were detected in the 35 patients with acute graft rejection within two months (AR group) and in the other 132 recipients with good graft recovery (control group). Results The AR group and control group showed no significant difference in PLT, PCT, MPV, or P-LCR before the surgery, but the PDW was significantly higher in the AR group (t=2.18, P=0.035). These parameters were similar within 5 postoperative days between the two groups (P>0.05), but in postoperative days 6-15, the AR group showed significantly increased MPV, PDW and P-LCR compared with the control group (P<0.05). In postoperative days 6-9, MPV, PDW and P-LCR became stable in AR group but tended to decrease in the control group, showing obviously different patterns of variation between the two groups (P<0.05). Conclusions Preoperative PDW may have a positive correlation with acute graft rejection after renal transplantation. Monitoring the variations of MPV, PDW and P-LCR may help in the diagnosis of acute graft rejection early after renal transplantation.

Objective To investigate the relationship between acute graft rejection early after renal transplantation and the variations of platelet parameters. Methods We retrospectively analyzed the clinical data of 167 renal transplant recipients before and within 2 months after the surgery. Before and at 1-10 days, 15 days, 30 days, 45 days and 60 days after the transplantation, 5 platelet parameters, including platelet count (PLT), platelet hematocrit (PCT), mean platelet volume (MPV), platelet volume distribution width (PDW), and large platelet ratio (P-LCR), were detected in the 35 patients with acute graft rejection within two months (AR group) and in the other 132 recipients with good graft recovery (control group). Results The AR group and control group showed no significant difference in PLT, PCT, MPV, or P-LCR before the surgery, but the PDW was significantly higher in the AR group (t=2.18, P=0.035). These parameters were similar within 5 postoperative days between the two groups (P>0.05), but in postoperative days 6-15, the AR group showed significantly increased MPV, PDW and P-LCR compared with the control group (P<0.05). In postoperative days 6-9, MPV, PDW and P-LCR became stable in AR group but tended to decrease in the control group, showing obviously different patterns of variation between the two groups (P<0.05). Conclusions Preoperative PDW may have a positive correlation with acute graft rejection after renal transplantation. Monitoring the variations of MPV, PDW and P-LCR may help in the diagnosis of acute graft rejection early after renal transplantation.