Objective To investigate the correlation between monocyte-lymphocyte ratio (MLR) and intensive care unit (ICU) results in ICU hospitalized patients. Methods Clinical data were extracted from Medical Information Mart for Intensive Care Ⅲ database, which contained health data of more than 50000 patients. The main result was 30-day mortality, and the secondary result was 90-day mortality. The Cox proportional hazards model was used to reveal the association between MLR and ICU results. Multivariable analyses were used to control for confounders. Results A total of 7295 ICU patients were included. For the 30-day mortality, the hazard ratio (HR) and 95% confidence interval (CI) of the second (0.23≤MLR<0.47) and the third (MLR≥0.47) groups were 1.28 (1.01, 1.61) and 2.70 (2.20, 3.31), respectively, compared to the first group (MLR<0.23). The HR and 95%CI of the third group were still significant after being adjusted by the two different models [2.26 (1.84, 2.77), adjusted by model 1; 2.05 (1.67, 2.52), adjusted by model 2]. A similar trend was observed in the 90-day mortality. Patients with a history of coronary and stroke of the third group had a significant higher 30-day mortality risk [HR and 95%CI were 3.28 (1.99, 5.40) and 3.20 (1.56, 6.56), respectively]. Conclusion MLR is a promising clinical biomarker, which has certain predictive value for the 30-day and 90-day mortality of patients in ICU.
ObjectiveTo investigate clinical characteristics and influencing factors of lower respiratory tract infection of Acinetobacter baumannii (AB-LRTI) in respiratory intensive care unit (RICU).MethodsClinical data were collected from 204 RICU patients who were isolated Acinetobacter baumannii (AB). The bacteriological specimens were derived from sputum, bronchoscopic endotracheal aspiration, bronchoalveolar lavage fluid, pleural effusion and blood. The definition of bacterial colonization was based on the responsible criteria from Centers for Disease Control and Prevention/National Medical Safety Network (CDC/NHSN). The patients were divided into three groups as follows, AB colonization group (only AB was isolated, n=40); simple AB-LRTI group (only AB was isolated and defined as infection, n=63), AB with another bacteria LRTI group (AB and another pathogen were isolated simultaneously, n=101). The epidemiology, clinical characteristics and influencing factors of each group were analyzed and compared. ResultsCompared with the AB colonization group, the AB with another bacteria LRTI group had higher proportion of patients with immunosuppression, specimens from sputum and bronchoalveolar lavage fluid, more than 4 invasive procedures, 90-day mortality, white blood cell count >10×109/L (or <4×109/L), neutrophil percent >75% (or <40%), lymphocyte count <1.1×109/L, platelet count <100×109/L, albumin <30 g/L, high sensitivity C-reactive protein >10 mg/L, and neutrophil-to-lymphocyte ratio (NLR). The frequency of bronchoscopy and days of infusing carbapenem within 90 days before isolating AB, the Acute Physiology and Chronic Health Evaluation Ⅱ score, the proportion of patients with invasive mechanical ventilation and the duration of invasive mechanical ventilation in the AB with another pathogen LRTI group were higher than those in the AB colonization group (all P<0.05). Days of infusing carbapenem and β-lactams/β-lactamase inhibitors within 90 days before isolating AB, proportion of septic shock, NLR and 90-day mortality of the patients from the AB with another pathogen LRTI group were more than those in the simple AB-LRTI group (all P<0.05). After regression analysis, more than 4 invasive procedures, or immunosuppression, or with more days of infusing carbapenem within 90 days before isolating AB were all the independent risk factors for AB-LRTI.ConclusionsThere are significant differences in epidemiology, clinical symptoms and laboratory indicators between simple AB-LRTI, AB with another pathogen LRTI and AB colonization in RICU patients. For RICU patients, who suffered more than 4 invasive procedures, immunosuppression, or with more days of infusing carbapenem within 90 days before isolating AB, are more susceptible to AB-LRTI.
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.
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.
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.
ObjectiveTo provide recommendations for the management of intensive care unit patients without novel coronavirus disease 2019 (COVID-19).MethodsWe set up a focus group urgently and identified five key clinical issues through discussion. Total 23 databases or websites including PubMed, National Guideline Clearing-House, Chinese Center for Disease Control and Prevention and so on were searched from construction of the library until February 28, 2020. After group discussion and collecting information, we used GRADE system to classify the evidence and give recommendations. Then we apply the recommendations to manage pediatric intensive care unit in the department of critical care medicine in our hospital. ResultsWe searched 13 321 articles and finally identified 21 liteteratures. We discussed twice, and five recommendations were proposed: (1) Patients should wear medical surgical masks; (2) Family members are not allowed to visit the ward and video visitation are used; (3) It doesn’t need to increase the frequency of environmental disinfection; (4) We should provide proper health education about the disease to non-medical staff (workers, cleaners); (5) Medical staff do not need wear protective clothing. We used these recommendations in intensive care unit management for 35 days and there was no novel coronavirus infection in patients, medical staff or non-medical staff. ConclusionThe use of evidence-based medicine for emergency recommendation is helpful for the scientific and efficient management of wards, and is also suitable for the management of general intensive care units in emergent public health events.
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.
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.
ObjectiveTo investigate the protein intake of patients in the general surgery intensive care unit (ICU) and to analyze the factors, both hindering and facilitating, that affecting protein intake from the perspective of healthcare professionals. MethodsA mixed-methods approach was used in this study, including a quantitative study and a qualitative study. The quantitative study was use to assess the protein intake in the ICU patients. The qualitative study was used to analyze the perspectives of healthcare professionals via semi-structured interviews. In the quantitative study, 32 variables were analyzed, and the sample size was estimated to be 10 times the number of study variables. The qualitative study employed the maximum difference sampling strategy, with the sample size determined by data saturation. The multiple linear regression was used to identify the risk factors affecting protein intake achievement, with a significance level of α=0.05. ResultsThe quantitative study included 459 patients, with a protein intake of (0.739±0.552) g/(kg·d). Of the patients, 90 (19.6%) had a protein intake of 1.2–2.0 g/(kg·d), 11 (2.3%) had 2.0 g/(kg·d) or more, and 358 (78.0%) had less 1.2 g/(kg·d). The multiple linear regression analysis identified several risk factors influencing protein intake attainment, including male, higher body mass index, elevated blood glucose levels upon ICU admission, early initiation of enteral nutrition (≤48 h), nasoenteric tube placement, and the only use of enteral nutrition feedings. In the qualitative study, three key themes relevant protein intake attainment were identified from the interviews: inadequate infrastructure, healthcare workers’ factors, and patient-related factors. ConclusionsThe findings of this study suggest a substantial gap between the protein intake of general surgical ICU patients and the guideline-recommended intake. The study highlights patient groups at risk for inadequate protein intake based on identified risk factors. Future efforts should focus on improving the efficiency of protein supplementation, enhancing the nutritional status of patients, standardizing protein supplementation protocols, and increasing education for both healthcare workers and patients.
Objective To evaluate the predictive value of CURB-65 score combined with blood urea nitrogen to albumin ratio (B/A) for intensive care unit (ICU) admission and death in adults with community-acquired pneumonia (CAP). Methods A retrospective analysis was performed on 523 patients with CAP hospitalized in the Second Affiliated Hospital of Kunming Medical University from January 2018 to January 2022. According to whether the patients were admitted to ICU, they were divided into an ICU group (n=36) and a general ward group (n=487). The patients were divided into a death group (n=45) and a non-death group (n=478) according to the death situation during hospitalization. Basic data (age, gender, history of underlying diseases, etc.), hospital stay, antibiotic use days, CURB-65 score, white blood cell count (WBC), neutrophil count (NEUT), procalcitonin (PCT), C-reactive protein (CRP), serum albumin (Alb), blood urea nitrogen (BUN), and BUN to Alb ratio (B/A) of the two groups were compared respectively. Receiver operating characteristic (ROC) curve were plotted to evaluate the predictive value of CURB-65 score, B/A, and their combination for death during ICU admission and hospitalization in patients with CAP. Logistic regression was used to analyze risk factors for in-hospital death in the patients with CAP. Results The number of days in hospital, the number of days of antibiotic use, the number of deaths during hospitalization, the proportion of hypertension, diabetes, CURB-65 score, WBC, NEUT, PCT, CRP, BUN and B/A in the ICU group were significantly higher than those in the general ward group. Age, male, combined hypertension, diabetes, coronary heart disease, ICU admission, CURB-65 score, WBC, NEUT, PCT, CRP, BUN and B/A in the death group were significantly higher than those in the non-death group, and Alb in the ICU group and the death group were significantly lower (all P<0.05). Correlation analysis showed that B/A was positively correlated with PCT, CRP, WBC, NEUT and CURB-65 scores (correlation coefficient r values were 0.486, 0.291, 0.260, 0.310, 0.666, all P<0.001). The area under ROC curve of CURB-65 combined with B/A to predict ICU admission and death of CAP patients was 0.862 (95%CI 0.807 - 0.918, sensitivity 91.7%, specificity 66.4%) and 0.908 (95%CI 0.864 - 0.952, sensitivity 93.3%, specificity 75.7%), respectively. Multivariate logistic regression analysis showed that diabetes, high CURB-65 score, low Alb level and B/A≥4.755 mg/g were independent risk factors for death of CAP patients during hospitalization (P<0.05). Conclusions There is a significant correlation between elevated B/A and ICU demand and mortality in CAP patients. Combined use can improve the predictive value of CURB-65 score for ICU admission and mortality in CAP patients.