RESUMO
OBJECTIVE To explore the predictive factors of cefoperazone/sulbactam-induced thrombocytopenia in adult inpatients， and to establish and validate the nomogram prediction model. METHODS Data of adult inpatients treated with cefoperazone/sulbactam in Xi’an Central Hospital from Jun. 30th， 2021 to Jun. 30th， 2023 were retrospectively collected. The training set and internal validation set were randomly constructed in a 7∶3 ratio. Singler factor and multifactor Logistic regression analysis were used to screen the independent predictors of cefoperazone/sulbactam-induced thrombocytopenia. The nomogram was drawn by using “RMS” of R 4.0.3 software， and the predictive performance of the model was evaluated by the receiver operating characteristic curve and C-index curve. Hosmer-Lemeshow goodness-of-fit test was used to evaluate the calibration degree of the model. Using the same standard， the clinical data of hospitalized patients receiving cefoperazone/sulbactam in Xi’an First Hospital in the same period were collected for external validation of the nomogram prediction model. RESULTS A total of 1 045 patients in Xi’an Central Hospital were included in this study， among which 67 patients suffered from cefoperazone/sulbactam-induced thrombocytopenia， with an incidence of 6.41%. After the false positive patients were excluded， 473 patients were included finally， including 331 in the training set and 142 in theinternal validation set. Multifactor Logistic regression analysis showed that age [OR＝1.043， 95%CI （1.017， 1.070）]， estimated glomerular filtration rate （eGFR） [OR＝0.988，95%CI（0.977， 0.998）]， baseline platelet （PLT） [OR＝0.989， 95%CI（0.982， 0.996）]， nutritional risk [OR＝3.863， 95%CI（1.884， 7.921）] and cumulative defined daily doses （DDDs） [OR＝1.082， 95%CI（1.020， 1.147）] were independent predictors for cefoperazone/sulbactam-induced thrombocytopenia （P＜0.05）. The C-index values of the training set and the internal validation set were 0.824 [95%CI （0.759， 0.890）] and 0.828 [95%CI （0.749， 0.933）]， respectively. The results of the Hosmer-Lemeshow test showed that χ 2 values were 0.441 （P＝0.802） and 1.804 （P＝0.406）. In the external validation set， the C-index value was 0.808 [95%CI （0.672， 0.945）]， the χ 2 value of the Hosmer-Lemeshow test was 0.899 （P＝0.638）. CONCLUSIONS The independent predictors of cefoperazone/sulbactam-induced thrombocytopenia include age， baseline PLT， eGFR， nutritional risk and cumulative DDDs. The model has good predictive efficacy and extrapolation ability， which can help clinic identify the potential risk of cefoperazone/sulbactam-induced thrombocytopenia quickly and accurately.
RESUMO
OBJECTIVE:To understand the distribution and drug resistance of the pathogens by sputum culture in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) in our hospital so as to provide reference for rational use of antibiotics. METHODS:From Dec. 2010 to Dec. 2014,the sputum specimens were collected from the AECOPD patients,then the identification of 307 strains of pathogens and drug susceptibility test were carried out,and the data were analyzed statistically by using SPSS 17.0 software. RESULTS:A total of 307 strains of pathogens were collected,of which 17 cases of gram-positive ba-cillus accounted (5.54%),247 cases of gram negative cocci (80.46%),43 cases of fungi accounted (14.00%). The most com-mon isolates from sputum specimens were Pseudomonas aeruginosa (33.22%),Acinetobacter baumannii (19.54%),Stenotroph-omonas maltophilia(9.77%),Klebsiella pneumoniae(7.82%),Candida albicans(6.84%),etc. P. aeruginosa and A. baumannii were highly multidrug-resistant. There were 10 strains of ESBLs-producing K. pneumonia isolated, with the isolation rate of 41.67%. No Staphylococcus aureus strain was found resistant to vancomycin,teicoplanin or linezolid. Methicillin resistant strains in S. aureus(MRSA)accounted for 50.00%. CONCLUSIONS:Gram-negative bacilli are the most common pathogens in the AE-COPD patients. The common species of pathogens are highly resistant. More attention should be paid to the drug resistance monitor-ing of pathogens and rational use of antibiotics according to the results of susceptibility test.
