Objective:To evaluate potentially inappropriate medication (PIM) in hospitalized elderly patients with bacterial pneumonia, and explore its influencing factors.Methods:It was a single-center cross-sectional study. The study focused on elderly patients with bacterial pneumonia who were admitted to Xuanwu Hospital, Capital Medical University from January 2018 to November 2022. Patients′ gender, age, weight, length of hospital stay, diagnosis at admission, physical examination, diagnosis at discharge, comorbidities, medications, and laboratory test results were extracted from hospital information system and electronic medical records. Medication use of patients included in the analysis during their hospitalization were evaluated according to the classification of PIMs in the 5 lists of the Beer′s criteria of American Geriatrics Society. Based on whether PIM occurred, the patients were divided into with PIM group and without PIM group. The clinical features between the 2 groups were compared and the influencing factors of PIM were analyzed using multivariable logistic regression.Results:A total of 2 720 patients were included, in which 1 734 (63.75%) were male. The median age was 78 (70, 85) years and their ages ranged from 65 to 103 years. The number of drugs used per patient was 14 (10, 18) kinds, ranging from 1 to 57 kinds. The length of hospital stay was 12 (9, 17) days, ranging from 1 to 162 days. Charlson comorbidity index (CCI) was 6 (5, 8) points. Among the 2 720 patients, 1 894 (69.63%) experienced PIM, with a total of 6 166 cases of PIM. The top 3 drugs ranked by the number of PIM occurrence were antiplatelet agents (1 357 cases), benzodiazapine receptor agonists (956 cases), and antipsychotics (884 cases). The comparison of clinical characteristics between the 2 groups showed that differences in age, CCI, length of hospital stay, and number of medications between with PIM and without PIM patients were statistically significant (all P<0.001). Multivariable logistic regression results showed that CCI, length of hospital stay, and number of medications were independent influencing factors for PIM. The risk increased by 8% and 1% with one point increase in CCI and one day extension in length of hospital stay [odds ratio ( OR)=1.08, 95% confidence interval ( CI): 1.04-1.13, P<0.001; OR=1.01, 95% CI: 1.00-1.03, P=0.03]. PIM risk of patients with more than 15 concurrent medications had a 22.16 times higher PIM risk than those with less than 5 concurrent medications ( OR=22.16, 95% CI: 14.15-34.72, P<0.001). Conclusions:Hospitalized eldery patients with bacterial pneumonia who have more severe comorbidities, longer hospital stay, and multiple concomitant medications are at a higher risk of PIM occurrence. Rational medication use among these patients should be paid attention to in clinical practice.

Objective:To evaluate potentially inappropriate medication (PIM) in hospitalized elderly patients with bacterial pneumonia, and explore its influencing factors.Methods:It was a single-center cross-sectional study. The study focused on elderly patients with bacterial pneumonia who were admitted to Xuanwu Hospital, Capital Medical University from January 2018 to November 2022. Patients′ gender, age, weight, length of hospital stay, diagnosis at admission, physical examination, diagnosis at discharge, comorbidities, medications, and laboratory test results were extracted from hospital information system and electronic medical records. Medication use of patients included in the analysis during their hospitalization were evaluated according to the classification of PIMs in the 5 lists of the Beer′s criteria of American Geriatrics Society. Based on whether PIM occurred, the patients were divided into with PIM group and without PIM group. The clinical features between the 2 groups were compared and the influencing factors of PIM were analyzed using multivariable logistic regression.Results:A total of 2 720 patients were included, in which 1 734 (63.75%) were male. The median age was 78 (70, 85) years and their ages ranged from 65 to 103 years. The number of drugs used per patient was 14 (10, 18) kinds, ranging from 1 to 57 kinds. The length of hospital stay was 12 (9, 17) days, ranging from 1 to 162 days. Charlson comorbidity index (CCI) was 6 (5, 8) points. Among the 2 720 patients, 1 894 (69.63%) experienced PIM, with a total of 6 166 cases of PIM. The top 3 drugs ranked by the number of PIM occurrence were antiplatelet agents (1 357 cases), benzodiazapine receptor agonists (956 cases), and antipsychotics (884 cases). The comparison of clinical characteristics between the 2 groups showed that differences in age, CCI, length of hospital stay, and number of medications between with PIM and without PIM patients were statistically significant (all P<0.001). Multivariable logistic regression results showed that CCI, length of hospital stay, and number of medications were independent influencing factors for PIM. The risk increased by 8% and 1% with one point increase in CCI and one day extension in length of hospital stay [odds ratio ( OR)=1.08, 95% confidence interval ( CI): 1.04-1.13, P<0.001; OR=1.01, 95% CI: 1.00-1.03, P=0.03]. PIM risk of patients with more than 15 concurrent medications had a 22.16 times higher PIM risk than those with less than 5 concurrent medications ( OR=22.16, 95% CI: 14.15-34.72, P<0.001). Conclusions:Hospitalized eldery patients with bacterial pneumonia who have more severe comorbidities, longer hospital stay, and multiple concomitant medications are at a higher risk of PIM occurrence. Rational medication use among these patients should be paid attention to in clinical practice.

Anesthesia machines are important auxiliary equipment for clinical anesthesia. Doctors and engineers should actively grasp the key technical progress in anesthesia equipment and deal with the problems and risks associated with its use. To summarize and analyze the clinical progress and application trends of key anesthesia technologies,such as automatic detection of anesthesia equipment,low flow,target control,depth prediction,lung protection and the combination of static and inhalation anesthesia,and to discuss thinking of fault analysis,formulation of maintenance strategy,and troubleshooting methods by combining hardware and software based on common faults of anesthesia equipment and maintenance examples. The aim is to provide thinking for reducing the workload and improve the quality of medical care of medical institutions,and to provide partial guidance for doctors and engineers working in medical institutions.

Anesthesia machines are important auxiliary equipment for clinical anesthesia. Doctors and engineers should actively grasp the key technical progress in anesthesia equipment and deal with the problems and risks associated with its use. To summarize and analyze the clinical progress and application trends of key anesthesia technologies,such as automatic detection of anesthesia equipment,low flow,target control,depth prediction,lung protection and the combination of static and inhalation anesthesia,and to discuss thinking of fault analysis,formulation of maintenance strategy,and troubleshooting methods by combining hardware and software based on common faults of anesthesia equipment and maintenance examples. The aim is to provide thinking for reducing the workload and improve the quality of medical care of medical institutions,and to provide partial guidance for doctors and engineers working in medical institutions.

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.

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.

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 explore the clinical characteristics and treatment outcomes of different types of peritoneal dialysis-associated peritonitis (PDAP).Methods:The clinical data of PDAP patients admitted to the Second Hospital of Jilin University, Second Part of the First Hospital of Jilin University, Jilin Central Hospital and Jilin First Automobile Work General Hospital in Jilin province from 2013 to 2019 were reviewed. According to the type of PDAP, the patients were divided into relapsing group, recurrent group, repeat group and control group, and the baseline data, pathogens culture and treatment outcomes among the four groups were compared.Results:A total of 542 patients with PDAP were enrolled in the study, including 43 cases in relapsing group, 32 cases in recurrent group, 27 cases in repeat group and 440 cases in control group. The median follow-up time was 30.5 (16.0, 50.0) months. The rate of Gram-positive bacteria in repeat group was higher than that of control group (70.37% vs 42.95%, P=0.030); the rate of fungi in recurrence group was higher than that of control group (21.88% vs 3.86%, P=0.006). Compared with control group, relapsing group had a lower cure rate (67.44% vs 83.64%, P=0.048) and a higher relapse rate (23.26% vs 2.27%, P=0.002), and recurrent group had a higher catheter removal rate (28.13% vs 8.18%, P=0.012). Multivariate logistic regression showed that recurrence was an independent risk factor for catheter removal ( OR=5.137, 95% CI 2.105-12.539, P<0.001). The technical failure rates in relapsing group and recurrent group were both higher than those in control group (41.86% vs 17.05%, P=0.002; 46.88% vs 17.05%, P=0.002). Multivariate Cox regression showed that relapse and recurrence were both independent risk factors for technical failure ( HR=2.587, 95% CI 1.525-4.389, P<0.001; HR=3.571, 95% CI 2.022-6.306, P<0.001), and also were independent risk factors for composite endpoint ( HR=1.565, 95% CI 1.045-2.344, P=0.030; HR=2.004, 95% CI 1.269-3.164, P=0.003). Conclusion:Compared with common PDAP, the therapeutic effects and prognosis of relapsing and recurrent PDAP are worse.

OBJECTIVE: To analyze the clinical characteristics and treatment outcomes of the first episode of peritoneal dialysis-associated peritonitis (PDAP) in patients receiving long-term peritoneal dialysis. METHODS: The clinical data of patients with the first episode of PDAP in 4 general hospitals in Jilin Province from 2013 to 2019 were collected retrospectively. According to the duration of dialysis, the patients were divided into long-term (≥36 months) and short-term (< 36 months) dialysis groups for comparison of the clinical data, treatment outcomes and long-term prognostic events. RESULTS: A total of 625 patients with PDAP were enrolled, including 93 on long-term and 532 on short-term dialysis. Compared with those on short-term dialysis, the patients on long-term dialysis had significantly higher hemoglobin levels and lower glomerular filtration rates when the first episode of PDAP occurred ( CONCLUSIONS Compared with those on short-term dialysis, patients on long-term dialysis are prone to gram-negative bacterial infection when the first episode of PDAP occurs with worse treatment outcomes but similar long-term outcomes. Long-term dialysis is an independent risk factor of extubation and treatment failure for the first episode of PDAP, and fungal and mixed bacterial infections are independent risk factors for treatment failure of the first PDAP in patients with long-term dialysis.
Humans ; Kidney Failure, Chronic/therapy* ; Peritoneal Dialysis/adverse effects* ; Peritonitis/etiology* ; Retrospective Studies ; Treatment Outcome

OBJECTIVE: To establish a headspace gas chromatography-mass spectrometry method for the determination of 14 chlorinated hydrocarbons in urine. METHODS: The urine sample 4.00 mL and anhydrous sodium sulfate 3.00 g were added into a 10.00 mL headspace bottle, then the headspace bottle was maintained at 70 ℃ for 40.0 min. After headspace pretreatment, 14 chlorinated hydrocarbons in headspace air were separated in the DB-5 MS capillary column of the gas chromatography and detected by mass spectrometer. RESULTS: There was a good linear relationship of 14 chlorinated hydrocarbons in urine in the range of 0.62-1 630.00 μg/L. The linear correlation coefficient was greater than 0.999 0.The minimum detectable concentration was 0.19-0.43 μg/L and the minimum quantitative concentration was 0.62-1.44 μg/L. The average recovery rate was 89.8%-107.1%. The within-run relative standard deviation(RSD) was 4.0%-8.5% and the between-run RSD was 6.3%-9.1%. Urine samples can be stored at 4 ℃ or-8 ℃ for 3 days and below-20 ℃ for 7 days. CONCLUSION: This method is rapid, simple, sensitive, accurate and has little interference,which can be used as a method for detecting 14 kinds of chlorinated hydrocarbons in urine samples of patients with occupational poisoning.