Objective To investigate the antibiotic resistance distribution and profiles of multidrug resistant bacteria in respiratory intensive care unit ( RICU) , and to analyze the related risk factors for multidrug resistant bacterial infections. Methods Pathogens from79 patients in RICU from April 2008 to May 2009 were analyzed retrospectively. Meanwhile the risk factors were analyzed by multi-factor logistic analysis among three groups of patients with non-multidrug, multidrug and pandrug-resistant bacterialinfection. Results The top three in 129 isolated pathogenic bacteria were Pseudomonas aeruginosa ( 24. 0% ) , Staphylococcus aureus( 22. 5% ) , and Acinetobacter baumannii( 15. 5% ) . The top three in 76 isolated multidrug-resistant bacteria were Staphylococcus aureus ( 38. 9% ) , Pseudomonas aeruginosa ( 25. 0% ) , and Acinetobacter baumannii( 19. 4% ) . And the two main strains in 29 isolated pandrug-resistant bacteria were Pseudomonas aeruginosa ( 48. 3% ) and Acinetobacter baumannii ( 44. 8% ) . Multi-factor logistic analysis revealed that the frequency of admition to RICU, the use of carbapenem antibiotics, the time of mechanical ventilation, the time of urethral catheterization, and complicated diabetes mellitus were independent risk factors for multidrug-resistant bacterial infection( all P lt; 0. 05) . Conclusions There is a high frequency of multidrug-resistant bacterial infection in RICU. Frequency of admition in RICU, use of carbapenem antibiotics, time of mechanical ventilation, time of urethral catheterization, and complicated diabetes mellitus were closely related withmultidrug-resistant bacterial infection.
Objective To identify the predictors for readmission in the ICU among cardiac surgery patients. Methods We conducted a retrospective cohort study of 2 799 consecutive patients under cardiac surgery, who were divided into two groups including a readmission group (47 patients, 27 males and 20 females at age of 62.0±14.4 years) and a non readmission group (2 752 patients, 1 478 males and 1 274 females at age of 55.0±13.9 years) in our hospital between January 2014 and October 2016. Results The incidence of ICU readmission was 1.68% (47/2 799). Respiratory disorders were the main reason for readmission (38.3%).Readmitted patients had a significantly higher in-hospital mortality compared to those requiring no readmission (23.4% vs. 4.6%, P<0.001). Logistic regression analysis revealed that pre-operative renal dysfunction (OR=5.243, 95%CI 1.190 to 23.093, P=0.029), the length of stay in the ICU (OR=1.002, 95%CI 1.001 to 1.004, P=0.049), B-type natriuretic peptide (BNP) in the first postoperative day (OR=1.000, 95%CI 1.000 to 1.001, P=0.038), acute physiology and chronic health evaluationⅡ (APACHEⅡ) score in the first 24 hours of admission to the ICU (OR=1.171, 95%CI 1.088 to1.259, P<0.001), and the drainage on the day of surgery (OR=1.001, 95%CI1.001 to 1.002, P<0.001) were the independent risk factors for readmission to the cardiac surgery ICU. Conclusion The early identification of high risk patients for readmission in the cardiac surgery ICU could encourage both more efficient healthcare planning and resources allocation.
Since the outbreak of coronavirus disease 2019 (COVID-19), there have been numerous studies confirming that physiotherapy is an essential part of the comprehensive treatment during hospitalization and can facilitate recovery in COVID-19 patients. However, physiotherapy protocols for COVID-19 patients in intensive care units are still lacking. This article reviews the literature and incorporates practical experience around recommendations for the safe protection during physiotherapy, recommendations for evaluation criteria and intervention of physiotherapy, and future work for COVID-19 patients, so as to provide a standardized recommendation for physiotherapists working in intensive care units.
ObjectiveTo evaluate the diagnostic value of various severity assessment scoring systems for sepsis after cardiac surgery and the predictive value for long-term prognosis.MethodsThe clinical data of patients who underwent cardiac sugeries including coronary artery bypass grafting (CABG) and (or) valve reconstruction/valve replacement were extracted from Medical Information Mark for Intensive Care-Ⅲ (MIMIC-Ⅲ). A total of 6 638 patients were enrolled in this study, including 4 558 males and 2 080 females, with an average age of 67.0±12.2 years. Discriminatory power was determined by comparing the area under the receiver operating characteristic (ROC) curve (AUC) for each scoring system individually using the method of DeLong. An X-tile analysis was used to determine the optimal cut-off point for each scoring system, and the patients were grouped by the cut-off point, and Kaplan-Meier curves and log-rank test were applied to analyze their long-term survival.ResultsCompared with the sequential organ failure assessment (SOFA) score, acute physiology score-Ⅲ (APS-Ⅲ, P<0.001), the simplified acute physiology score-Ⅱ (SAPS-Ⅱ, P<0.001) and logistic organ dysfunction score (LODS, P<0.001) were more accurate in distinguishing sepsis. Compared with the non-septic group, the 10-year overall survival rate of the septic group was lower (P<0.001). Except for the systemic inflammation response score (SIRS) system, the 10-year overall survival rates of patients in the high risk layers of SOFA (HR=2.50, 95%CI 2.23-2.80, P<0.001), SAPS (HR=2.93, 95%CI 2.64-3.26, P<0.001), SAPS-Ⅱ (HR=2.77, 95%CI 2.51-3.04, P<0.001), APS-Ⅲ (HR=2.90, 95%CI 2.63-3.20, P<0.001), LODS (HR=2.17, 95%CI 1.97-2.38, P<0.001), modified logistic organ dysfunction score (MLODS, HR=2.04, 95%CI 1.86-2.25, P<0.001) and the Oxford acute severity of illness score (OASIS, HR=2.37, 95%CI 2.16-2.60, P<0.001) systems were lower than those in the low risk layers.ConclusionCompared with SOFA score, APS-Ⅲ score may have higher value in the diagnosis of sepsis in patients who undergo isolated CABG, a valve procedure or a combination of both. Except for SIRS scoring system, SOFA, APS-Ⅲ, SAPS, SAPS-Ⅱ, LODS, MLODS and OASIS scoring systems can be applied to predict the long-term outcome of patients after cardiac surgery.
ObjectiveTo analyze epidemic characteristics of multidrug-resistant organism (MDRO) in Neurosurgical Intensive Care Unit (NSICU), and to analyze the status of infection and colonization, in order to provide reference for constituting intervention measures. MethodsPatients who stayed in NSICU during January 2014 to April 2015 were actively monitored for the MDRO situation. ResultsA total of 218 MDRO pathogens were isolated from 159 patients, and 42 cases were healthcare-associated infections (HAI) among 159 patients. The Acinetobacter baumannii was the most common one in the isolated acinetobacter. Colonization rate was positively correlated with the incidence of HAI. From January to December, there was a significantly increase in the colonization rate, but not in the incidence of HAI. ConclusionThe main MDRO situation is colonization in NSICU. The obvious seasonal variation makes the HAI risk at different levels. So it is necessary that full-time and part-time HAI control staff be on alert, issue timely risk warning, and strengthen risk management. The Acinetobacter baumannii has become the number one target for HAI prevention and control in NSICU, so their apparent seasonal distribution is worthy of more attention, and strict implementation of HAI prevention and control measures should be carried out.
Objective To investigate the predictors for carbapenem-resistant Acinetobacter baumannii, Enterobacteriaceae and Pseudomonas aeruginosa (CR-AEP) as the pathogens of bloodstream infection (BSI) for intensive care unit (ICU) patients. Methods A retrospective case-control study based on ICU- healthcare-associated infection (HAI) research database was carried out. The patients who have been admitted to the central ICU between 2015 and 2019 in the ICU-HAI research database of West China Hospital of Sichuan University were selected. The included patients were divided into two groups, of which the patients with ICU-acquired BSI due to CR-AEP were the case group and the patients with BSI due to the pathogens other than CR-AEP were the control group. The clinical features of the two groups of patients were compared. Logistic regression model was used to identify the predictors of BSI due to CR-AEP.ResultsA total of 197 patients with BSI were included, including 83 cases in the case group and 114 cases in the control group. A total of 214 strains of pathogenic bacteria were isolated from the 197 BSI cases, including 86 CR-AEP strains. The results of multivariate logistic regression analysis showed that previous use of tigecycline [odds ratio (OR)=2.490, 95% confidence interval (CI) (1.141, 5.436), P=0.022] was associated with higher possibility for CR-AEP as the pathogens of BSI in ICU patients with BSI, while previous use of antipseudomonal penicillin [OR=0.497, 95%CI (0.256, 0.964), P=0.039] was associated with lower possibility for that. Conclusion Previous use of tigecycline or antipseudomonal penicillin is the predictor for CR-AEP as the pathogens of BSI in ICU patients with BSI.
Objective To investigate the differences in bacteria distribution and drug resistance of pathogens in patients with lower respiratory tract infection between respiratory general wards and respiratory intensive care unit ( RICU) .Methods All the clinical isolates fromsputumor secretion of lower respiratory tract from2007. 1-2010. 10 were analyzed retrospectively. Antibiotic susceptibility was tested by Kirby-Bauer method. Results The total number of isolated strains was 3202. Among 1254 strains isolated from respiratory general wards, Gram-positive bacteria accounted for 2. 63% , Gram-positive bacteria accounted for 42. 42% , and fungi accounted for 54. 95% . Streptococcus pneumoniae ranked first place among Gram-positive bacteria, accounting for 51. 52% . Haemophilus parainfluenzae bacillus ranked first place among Gramnegative bacteria, accounting for 21. 99% . Both were sensitive to the most commonly used antibiotics. Among 1948 strains isolated from RICU ward, Gram-positive bacteria accounted for 4. 52% , Gram-positive bacteria accounted for 37.73% , and fungi accounted for 57. 75% . Staphylococcus aureus ranked first place among Gram-positive bacteria, accounting for 52. 27% . Acinetobacter baumannii ranked first place in Gramnegative bacteria, accounting for 27. 35% . Both were resistant to most commonly used antibiotics. Pseudomonas aeruginosa had a higher rate of infection both in the general wards and RICU, and was resistant to most commonly used antibiotics.Conclusions In lower respiratory tract infection of respiratory general ward, Gram-positive bacteria with Streptococcus pneumoniae mainly and Gram-negative bacteria with Haemophilus parainfluenzae mainly are both sensitive to the most commonly used antibiotics. While in the RICU ward, Gram-positive bacteria infections with Staphylococcus aureus mainly and Gram-negative bacteria infections with Acinetobacter baumannii mainly are both resistant to most commonly used antibiotics.
Objective To retrospectively analyze the clinical features of invasive pulmonary aspergillosis (IPA) in intensive care unit (ICU), so as to improve the level of clinical diagnosis and treatment. Methods A total of 81 patients diagnosed as IPA from March, 2017 to March, 2022 in the ICU of The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China were selected as infection group. A total of 81 non-IPA patients with pulmonary infection and Aspergillus negative sputum culture were selected as the control group. The host factors, Acute Physiology and Chronic Health Assessment Ⅱ score at admission, underlying diseases, clinical symptoms and signs, relevant laboratory test results, and lung CT findings were compared between the two groups. Univariate analysis and multivariate conditional logistic regression analysis were used to identify the risk factors for the occurrence of pulmonary aspergillosis in IPA patients in ICU. At the same time, the types of aspergillus in the IPA group and the outcomes of the two groups at 28 days after ICU admission were analyzed. Results Of the 81 IPA patients, 4 were proven diagnosed and 77 were putative diagnosed. IPA patients were mainly infected with Aspergillus fumigatus and Aspergillus flavus. Symptoms and signs such as fever, cough and expectoration, dyspnea and pulmonary rales occurred in both groups. The level of procalcitonin in IPA group was higher than that in non-IPA group, and the difference was statistically significant (P=0.016). The positive rate of serum galactomannan antigen test (GM test) in the IPA group was higher than that in the non-IPA group, and the differences was statistically significant (P=0.000). The incidence of pulmonary imaging cavities in IPA group was higher than that in non-IPA group, and the difference was statistically significant (P=0.022). Univariate analysis showed that central venous catheterization, septic shock, complete parenteral nutrition, chronic obstructive pulmonary disease, and immunosuppression were risk factors for IPA (P<0.05); Multivariate conditional logistic regression analysis showed that complete parenteral nutrition, chronic obstructive pulmonary disease, and immunosuppression were independent risk factors for IPA (P<0.05). The 28-day fatality rate in IPA group was higher than that in non-IPA group (55.6% vs. 34.6%, P=0.007). Conclusions IPA patients have no specific clinical symptoms and signs, and are mainly infected with Aspergillus fumigatus and Aspergillus flavus; GM test has guiding significance for the diagnosis of IPA. Serum GM test and pulmonary imaging have cavity findings that are helpful for the diagnosis of IPA. Patients with a history of chronic obstructive pulmonary disease, immunosuppression, or complete parenteral nutrition need to be on high alert for the possibility of IPA during ICU stay.
ObjectiveTo explore the infection condition of Acinetobacter baumannii at the Neurosurgery Intensive Care Unit (NICU), and analyze the possible risk factors. MethodsWe retrospectively analyzed the clinical data of Acinetobacter baumannii infection patients with craniocerebral injury treated at the NICU between January 2011 and June 2013. We collected such information as infection patients' population distribution, infection site, invasive operations and patients' nurse-in-charge level and so on, and analyzed the possible risk factors for the infection. ResultsThirty-one patients were infected with Acinetobacter baumannii, and they were mainly distributed between 60 and 80 years old. The main infection site was lower respiratory tract, followed in order by urinary tract, gastrointestinal tract, skin and soft tissue. The risk factors might be related to age, invasive operation, nurse working ability, etc. ConclusionThe patients at the NICU are vulnerable to infection of Acinetobacter baumannii. Reducing invasive diagnosis and nursing procedures, providing optimal care, and carrying out specialized nurse standardization training may be the important means to effectively reduce the infection.
Objective To verify the association between admission serum phosphate level and short-term (<30 days) mortality of severe pneumonia patients admitted to intensive care unit (ICU) / respiratory intensive care unit (RICU). Methods Severe pneumonia patients admitted to the ICU/RICU of Quanzhou First Hospital Affiliated to Fujian Medical University from November 2019 to September 2021 were included in the study. Serum phosphate was demonstrated as an independent risk factor for short-term mortality of severe pneumonia patients admitted to ICU/RICU by logical analysis and receiver operator characteristic (ROC) curve. The patients were further categorized by serum phosphate concentration to explore the relationship between serum phosphate level and short-term mortality. Results Comparison of baseline indicators at admission between the survival group (n=54) and the non survival group (n=46) revealed that there was significant difference in serum phosphate level [0.9 (0.8, 1.2) mmol/L vs. 1.2 (0.9, 1.5) mmol/L, P<0.05]. Logical analysis showed serum phosphate was an independent risk factor for short-term mortality. ROC curve showed that the prediction ability of serum phosphate was close to pneumonia severity index (PSI). After combining serum phosphate with PSI score, CURB65 score, and sequential organ failure score, the predictive ability of these scores for short-term mortality was improved. Compared with the normophosphatemia group, hyperphosphatemia was found be with significantly higher short-term mortality (85.7% vs. 47.3%, P<0.05), which is absent in hypophosphatemia (25.8%). Conclusions Serum phosphate at admission has a good predictive value on short-term mortality in severe pneumonia patients admitted to the ICU/RICU. Hyperphosphatemia at admission is associated with a higher risk of short-term death.