Objective:To investigate the association between estimated cumulative low-density lipoprotein cholesterol (LDL-C) exposure and the severity of coronary artery disease and long-term adverse cardiovascular and cerebrovascular events (MACCE) in patients with acute coronary syndrome (ACS).Methods:The subjects were from the PROMISE study. This study was a prospective cohort study led by Fuwai Hospital, Chinese Academy of Medical Sciences, with participation from eight regional tertiary hospitals as sub-centers, and enrolled 18 701 patients with confirmed coronary heart disease between January 2015 and May 2019. Among them, 8 429 patients with ACS were included in this study. The estimated cumulative LDL-C exposure was calculated by multiplying LDL-C by age. Participants were then divided into four groups based on quartiles. Baseline data and coronary angiography data were collected, and participants were followed for 2 years. The primary endpoint was MACCE, which was composed of all-cause death, cardiac death, myocardial infarction, revascularization, and stroke. Spearman correlation analysis was used to estimate the correlation between cumulative LDL-C exposure and the severity of coronary artery disease. The differences in MACCE among the four groups were compared, and multivariate Cox regression was used to divide the estimated cumulative exposure LDL-C into two groups, three groups, and four groups to analyze its relationship with MACCE.Results:The 8 429 ACS patients included in the study had an age of (60.9±11.4) years, with 1 951(23.1%) females. Spearman correlation analysis revealed that estimated cumulative LDL-C exposure was positively associated with the preoperative SYNTAX score, three-vessel lesions disease, left main disease, and the number of target lesions (correlation coefficients r=0.14, 0.10, 0.04 and 0.03, respectively, with all P<0.05). The 2-year follow-up results indicated that the incidence rates of MACCE, all-cause death, cardiac death, myocardial infarction, and stroke in ACS patients grouped by different levels of estimated cumulative LDL-C exposure were statistically significant (all P<0.05). The results of the Cox multivariate regression analysis showed that when the estimated cumulative LDL-C exposure was treated as a continuous variable and analyzed in two, three, and four groups, with the lowest group as the reference, the risk of MACCE occurrence in the high-value group increased by 21% (95% CI 1.08-1.37, P=0.002), 24% (95% CI 1.07-1.43, P=0.004), and 21% (95% CI 1.02-1.43, P=0.025) respectively. Conclusions:A positive correlation was found between estimated cumulative LDL-C exposure and severity of coronary artery disease. High estimated cumulative LDL-C exposure level is a risk factor for MACCE in ACS patients within 2 years.

Objective:To investigate the association between estimated cumulative low-density lipoprotein cholesterol (LDL-C) exposure and the severity of coronary artery disease and long-term adverse cardiovascular and cerebrovascular events (MACCE) in patients with acute coronary syndrome (ACS).Methods:The subjects were from the PROMISE study. This study was a prospective cohort study led by Fuwai Hospital, Chinese Academy of Medical Sciences, with participation from eight regional tertiary hospitals as sub-centers, and enrolled 18 701 patients with confirmed coronary heart disease between January 2015 and May 2019. Among them, 8 429 patients with ACS were included in this study. The estimated cumulative LDL-C exposure was calculated by multiplying LDL-C by age. Participants were then divided into four groups based on quartiles. Baseline data and coronary angiography data were collected, and participants were followed for 2 years. The primary endpoint was MACCE, which was composed of all-cause death, cardiac death, myocardial infarction, revascularization, and stroke. Spearman correlation analysis was used to estimate the correlation between cumulative LDL-C exposure and the severity of coronary artery disease. The differences in MACCE among the four groups were compared, and multivariate Cox regression was used to divide the estimated cumulative exposure LDL-C into two groups, three groups, and four groups to analyze its relationship with MACCE.Results:The 8 429 ACS patients included in the study had an age of (60.9±11.4) years, with 1 951(23.1%) females. Spearman correlation analysis revealed that estimated cumulative LDL-C exposure was positively associated with the preoperative SYNTAX score, three-vessel lesions disease, left main disease, and the number of target lesions (correlation coefficients r=0.14, 0.10, 0.04 and 0.03, respectively, with all P<0.05). The 2-year follow-up results indicated that the incidence rates of MACCE, all-cause death, cardiac death, myocardial infarction, and stroke in ACS patients grouped by different levels of estimated cumulative LDL-C exposure were statistically significant (all P<0.05). The results of the Cox multivariate regression analysis showed that when the estimated cumulative LDL-C exposure was treated as a continuous variable and analyzed in two, three, and four groups, with the lowest group as the reference, the risk of MACCE occurrence in the high-value group increased by 21% (95% CI 1.08-1.37, P=0.002), 24% (95% CI 1.07-1.43, P=0.004), and 21% (95% CI 1.02-1.43, P=0.025) respectively. Conclusions:A positive correlation was found between estimated cumulative LDL-C exposure and severity of coronary artery disease. High estimated cumulative LDL-C exposure level is a risk factor for MACCE in ACS patients within 2 years.

Tinnitus and anxiety disorder are common clinical symptoms. Comorbidity between tinnitus and anxiety state is increasing year by year. The relationship between tinnitus and anxiety state has always been a hot topic, and this paper reviews the literature on the relationship between chronic subjective tinnitus and anxiety state in recent years.
Humans ; Tinnitus/diagnosis* ; Anxiety ; Anxiety Disorders/epidemiology* ; Comorbidity

Objective:To establish and validate a predictive model for treatment failure of peritoneal dialysis-related peritonitis(PDAP)in elderly patients.Methods:Clinical data of peritoneal dialysis(PD)patients who were followed up from January 1, 2013 to December 31, 2019 at four Grade A tertiary hospitals in Jilin Province were collected.A total of 362 elderly patients with PDAP were eventually included as study subjects.Subjects recruited from 2013 to 2017 were used for model construction and the logistic regression model was used to screen risk factors for treatment failure of PDAP in elderly patients.A nomogarm was constructed to predict treatment failure of secondary PDAP using R language.The receiver operating curve(ROC)and calibration curve were used to evaluate discrimination accuracy of the model.Subjects from 2018 to 2019 were used as the cohort for validation of discrimination accuracy of the model.Results:Of 258 PDAP patients in the modeling cohort, 29 experienced treatment failure, including 15 PDAP-related deaths and 14 cases requiring catheter removal.The multivariate logistic regression model showed that types of pathogens( OR=8.849, 95% CI: 1.656-47.269, P=0.011), long dialysis age( OR=1.023, 95% CI: 1.005-1.042, P=0.013), pre-hospitalization antibiotic treatment( OR=5.123, 95% CI: 1.338-19.610, P=0.017), and dialysate white blood cell count on day 5>100×10 6/L( OR=7.085, 95% CI: 2.162-23.217, P=0.001)were independent risk factors for treatment failure of PDAP in elderly patients.For the nomogarm predictive model, the areas under the ROC curve(AUC)in the modeling cohort and the validation cohort were 0.818(95% CI: 0.735-0.902)and 0.762(95% CI: 0.656-0.889), respectively, and the calibration curves were close to a straight line with a slope of 1. Conclusions:Our nomogram predictive model based on types of pathogens, months of dialysis, pre-hospital admission antibiotic treatment, and dialysate white blood cell count on day 5 has demonstrated satisfactory discrimination accuracy for treatment failure of PDAP in elderly patients.

Balancing the risks and benefits of organophosphate pesticides(OPs)on human and environmental health relies partly on their accurate measurement.A highly sensitive fluorescence anti-quenching multi-residue bio-barcode immunoassay was developed to detect OPs(triazophos,parathion,and chlorpyrifos)in apples,turnips,cabbages,and rice.Gold nanoparticles were functionalized with monoclonal antibodies against the tested OPs.DNA oligonucleotides were complementarily hybridized with an RNA fluorescent label for signal amplification.The detection signals were generated by DNA-RNA hybridization and ribonuclease H dissociation of the fluorophore.The resulting fluorescence signal en-ables multiplexed quantification of triazophos,parathion,and chlorpyrifos residues over the concen-tration range of 0.01-25,0.01-50,and 0.1-50 ng/mL with limits of detection of 0.014,0.011,and 0.126 ng/mL,respectively.The mean recovery ranged between 80.3％and 110.8％with relative standard deviations of 7.3％-17.6％,which correlate well with results obtained by liquid chromatography-tandem mass spectrometry(LC-MS/MS).The proposed bio-barcode immunoassay is stable,reproducible and reliable,and is able to detect low residual levels of multi-residue OPs in agricultural products.

With the gradual improvement of medical informatization and the vigorous development of medical and health big data，the exploration and practice of real -world research are becoming more and more mature ，and real -world data have become an important source of evidence for post marketing re -evaluation of drugs . As an important high -quality real -world medical data ， electronic medical record data is an indispensable data source for post marketing re -evaluation of drugs . Most of the existing guidelines and norms of real -world research are designed from the perspective of prospective research ，and do not propose specific measures and methods in the implementation of retrospective research ，especially for the operation suggestions on the technical level of using conventionally collected electronic medical record data . In combination with the operational process framework formulated by the existing guidelines and norms ，this paper creatively adds the operating procedures for dataE- validation，data integration ，data verification ，and throughout quality control ，data management and storage of retrospectiveelectronic medical record data ，and describes the data analysis methods and key points involved in carrying out multi -center retrospective real -world research using electronic medical record data ，taking the post marketing safety research of drugs as an example. Finally，the full process operation procedure applicable to the use of multi -center retrospective electronic medical record data is established .

OBJECTIVE To improve the utilization rate of intravenous infusion in inpatients and enhance the level of rational drug use. METHODS PDCA cycle method was used to formulate and implement countermeasures from the aspects of institution， system， person and management. The utilization rate of intravenous infusion and the average daily number of bags （bottles） per bed for intravenous infusion were used as indicators to evaluate the implementation effect of PDCA. RESULTS The utilization rate of intravenous infusion decreased from （92.58±0.11）% 3 months before PDCA cycle to （89.72±0.62）% 3 months after PDCA cycle， and the average daily number of bags （bottles） per bed from intravenous infusion decreased from 5.20±0.09 to 4.64±0.24 （P＜ 0.05）. The utilization rate of intravenous infusion decreased from 92.55% 6 months before PDCA cycle to 89.98% 6 months after PDCA cycle （P＜0.05）； but average daily number of bags （bottles） per bed for intravenous infusion decreased from 5.36±0.26 6 months before PDCA cycle to 4.97±0.39 6 months after PDCA cycle， without statistical significance （P＞0.05）. CONCLUSIONS PDCA cycle method can effectively reduce the utilization rate and average daily number of bags （bottles） per bed for intravenous infusion in the inpatients and improve the level of rational drug use.

Objective:To investigate the clinical characteristics of E. coli peritoneal dialysis-associated peritonitis (PDAP) and the risk factors for its occurrence and treatment failure.Methods:The clinical data of patients with episodes of PDAP in four general hospitals in Jilin Province from 2013 to 2019 were retrospectively reviewed. According to the pathogenic bacteria, the patients were divided into E. coli and non- E. coli groups. The incidence of E. coli PDAP in the last seven years was calculated and the clinical characteristics were compared between two PDAP groups. Logistic regression was used to analyze the risk factors for the occurrence and treatment failure of E. coli PDAP. Results:A total of 693 PDAP episodes/cases were enrolled in this study, including 100 episodes/cases in the E. coli group and 593 episodes/cases in the non- E. coli group. The incidence rate of E. coli PDAP in the four hospitals showed a decreasing trend during 2013 to 2019. Compared with the non-E.coli group, the proportion of diabetic patients and the average blood albumin levels in the E. coli group were lower ( χ2=5.006, Z=-2.992, P<0.05), while the proportion of refractory peritonitis was higher, and the duration of antibiotic therapy was longer ( χ2=6.350, Z=-2.779, P<0.05). Multivariate Logistic regression analysis showed that history of PDAP ( OR=1.577, 95% CI: 1.015-2.448) and low baseline serum albumin level ( OR=0.958, 95% CI: 0.923-0.995) were independent risk factors for the development of E. coli PDAP, while concomitant diabetes was an independent protective factor for E. coli PDAP ( OR=0.538, 95% CI: 0.330-0.876). Moreover, long-term dialysis was an independent risk factor for treatment failure of E. coli PDAP ( OR=1.047, 95% CI: 1.018-1.076). Conclusion:The incidence rate of E. coli PDAP in study institutions has declined in the past 7 years, but the rate of refractory PDAP is still high. The history of PDAP and low blood albumin level are independent risk factors for the occurrence of E. coli PDAP, while concomitant diabetes is an independent protective factor for the occurrence of E. coli PDAP. Long-term dialysis is an independent risk factor for treatment failure of E. coli PDAP.

Objective:To investigate the predictive value of abnormal heart rate circadian rhythm for all-cause mortality in stage 5 chronic kidney disease (CKD 5) patients.Methods:The retrospective study was performed in CKD 5 patients enrolled from the First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital) and the Affiliated BenQ Hospital of Nanjing Medical University from February, 2011 to December, 2019. A total of 159 healthy volunteers were enrolled as the healthy control group during the same period. The circadian rhythm of heart rate was monitored by 24-hour Holter. Related indices (including 24-hour, daytime and nighttime mean heart rate, night/day heart rate ratio, 24-hour maximum heart rate, 24-hour minimum heart rate and difference between maximum and minimum of 24-hour heart rate) were calculated. Non-dipping heart rate was defined as night/day heart rate ratio greater than 0.9. Cox regression model was used to analyze the risk factors of all-cause mortality in CKD 5 patients. Kaplan-Meier survival curve and Log-rank test were used to compare the differences of cumulative mortality between high ratio group (night/day heart rate ratio>0.91) and low ratio group (night/day heart rate ratio≤0.91). The nonlinear relationship between night/day heart rate ratio and all-cause mortality was analyzed by restricted cubic spline plot. Time-dependent receiver operating characteristic (ROC) curve was used to analyze the predictive value of night/day heart rate ratio for all-cause mortality in CKD 5 patients.Results:A total of 159 healthy volunteers and 221 CKD 5 patients were included in this study. There were 123 males (55.66%) and the age was (52.72±13.13) years old in CKD 5 patients. The total median follow-up time was 50.0 months. Compared with controls, 24-hour, nighttime mean heart rate, 24-hour minimum heart rate in CKD 5 patients were increased (all P<0.05), furthermore, the night/day heart rate ratio was higher [(0.91±0.09) vs (0.81±0.08), P<0.001], showing "non-dipping heart rate". However, the 24-hour maximum heart rate and the difference between maximum and minimum of 24-hour heart rate in CKD 5 patients were lower than controls (both P<0.05). Multivariate Cox regression analysis showed that the increased night/day heart rate ratio (per 0.1 increase, HR=1.557, 95% CI 1.073-2.258, P=0.020) was an independent influencing factor for all-cause mortality in CKD 5 patients. Kaplan-Meier survival curve analysis showed that the cumulative mortality of the high ratio group was significantly increased than that of the low ratio group (Log-rank test χ 2=7.232, P=0.007). From the restricted cubic spline plot, there was a linear effect between night/day heart rate ratio and all-cause mortality ( P=0.141), and when night/day heart rate ratio was above 0.91, the risk of all-cause mortality was significantly increased in CKD 5 patients. According to time-dependent ROC curve, the accuracy of night/day heart rate ratio in predicting all-cause mortality was 70.90% even when the survival time was up to 70.0 months. Conclusions:The circadian rhythm of heart rate in CKD 5 patients displays "non-dipping" state. High night/day heart rate ratio is an independent influencing factor for all-cause mortality in CKD 5 patients.

Objective:To investigate the incidence, drug sensitivity and drug resistance characteristies, and theraputic effect of staphylococcal peritoneal dialysis-associated peritonitis (PDAP), aim to provide clinical evidences for standardizing treatment therapy of staphylococcal PDAP. Methods:Clinical data of PDAP patients admitted to the Second Hospital of Jilin University, the First Hospital of Jilin University-the Eastern Division, Jilin Central Hospital and Jilin First Automobile Work General Hospital during January 1, 2013 and December 31, 2019 were retrospectively collected. The results of etiology, drug sensitivity and drug resistance of staphylococcal PDAP patients were collected. According to the pathogenic bacteria, patients were divided into staphylococcus aureus group ( n=48) and coagulase-negative staphylococcus group ( n=232). According to the results of methicillin resistance, patients were divided into drug-resistant group ( n=71) and drug-sensitive group ( n=30). The prognosis of antibiotic therapy in each group were compared. Poisson regression was used to test the changing trend of the incidence of staphylococcal PDAP. The changes of drug sensitivity and drug resistance of staphylococcus were compared between 2013 and 2019 by linear trend χ2 test. Results:A total of 1 085 cases of PDAP occurred in 625 patients were screened, and 280 cases of staphylococcal PDAP were finally included. The incidences of staphylococcal PDAP, staphylococcus aureus PDAP and coagulase-negative staphylococcal PDAP were 0.063 times per patient year, 0.010 times per patient year and 0.053 times per patient year respectively. In addition, the incidence of PDAP caused by staphylococcus, staphylococcus aureus and coagulase-negative staphylococcus decreased year by year (all P<0.05). With the change of years, the sensitivity rate of staphylococcus to rifampicin increased, while the sensitivity rate of staphylococcus to moxifloxacin decreased (both P<0.05). The drug resistance rate of staphylococcus to levofloxacin increased ( P<0.05). The staphylococcus aureus group was more prone to refractory PDAP and catheter removal than that in coagulase-negative staphylococcus group, and the recurrence rate was higher than that in coagulase-negative staphylococcus group (all P<0.05). The proportion of vancomycin used during the whole course of antibiotic therapy in drug-resistant group was higher than that in drug-sensitive group ( P<0.05). Conclusions:The incidence of staphylococcal PDAP decreases year by year, and the drug sensitivity characteristics of staphylococcus also change. The therapeutic outcomes of staphylococcus aureus PDAP are worse than that of coagulase-negative staphylococcus.