Objective To explore the effect of early rehabilitation treatment on complications and prognosis of elderly patients with sever pneumonia undergoing mechanical ventilation. Methods The patients who meeting the inclusion criteria were randomly divided into an early rehabilitation group and a control group, with 35 cases in each group. On basis of same routine treatment, the early rehabilitation group was treated with early rehabilitation. The early rehabilitation methods included exercise therapy, electrical stimulation therapy, swallowing therapy, cough training and wheelchair-bed transfer training, etc. The patients received individual training methods according to their conditions. The difference of two groups were observed in the rates of ICU-acquired weakness (ICU-AW), ventilator-associate pneumonia (VAP), the incidence of delirium, the mechanical ventilation time, ICU-hospital time, total hospital time, 30-day hospital mortality, extubation fail rate and tracheotomy rate. Results Compare with the control group, the incidence of ICU-AW (14.28% vs. 37.14%), VAP (8.57% vs. 28.57%), and delirium (40.00% vs. 65.71%) in the early rehabilitation group were significantly reduced (all P<0.05). The duration of delirium [(3.50±1.31) dvs. (6.40±1.47) d], the ventilation time [(6.32±2.19) d vs. (9.40±4.43) d], ICU hospitalization time [(10.80±3.64) d vs. (15.31±3.85) d] and total hospitalization time [(22.52±7.56) d vs. (30.22±11.54) d] of the early rehabilitation group were significantly lower than the control group (all P<0.001). The tracheotomy rate and 30-day hospital mortality of the early rehabilitation group were significantly lower than the control group (25.71%vs. 51.42% and 28.57% vs. 54.28%, both P<0.05). There was no significant difference in extubation fail rate (5.71%vs. 11.42%, P>0.05). In the early rehabilitation group, there were no complications such as pipe prolapse, limb injury or serious arrhythmia. Conclusion Early rehabilitation can reduce the incidence of ICU-AW, VAP, delirium in elderly patients with severe pneumonia, help to shorten the mechanical ventilation time, ICU hospitalization time and total hospitalization time, reduce extubation failure rate and tracheotomy rate, so it is safe and effective, and worthy of being popularized and applied.
Objective To develop and validate a nomogram for predicting the risk of weaning failure in elderly patients with severe pneumonia undergoing mechanical ventilation. Methods A retrospective analysis was conducted on the clinical data of 330 elderly patients with severe pneumonia undergoing mechanical ventilation who were hospitalized in our hospital from July 2021 to July 2023. According to their weaning outcomes, they were divided into a successful group (n=213 ) and a failure group (n=117). Univariate analysis and multivariate non-conditional logistic regression analysis were used to explore the factors influencing the weaning failure of mechanical ventilation in elderly patients with severe pneumonia. Results Univariate analysis showed that there were significant differences in age, smoking status, chronic obstructive pulmonary disease, ventilation time, albumin, D-dimer, and oxygenation index levels between the two groups (all P<0.05). Multivariate logistic regression analysis revealed that age ≥65 years, smoking, presence of chronic obstructive pulmonary disease, ventilation time ≥7 days, D-dimer ≥2 000 μg/L, and reduced oxygenation index were risk factors for weaning failure in the elderly patients with severe pneumonia. The nomogram model constructed based on these factors had an area under ROC curve of 0.970 (95%CI 0.952 - 0.989), and the calibration curve demonstrated good agreement between predicted and observed values. Conclusions Age, smoking status, chronic obstructive pulmonary disease, ventilation time, D-dimer, and oxygenation index are influencing factors for weaning failure in elderly patients with severe pneumonia receiving mechanical ventilation. The nomogram model constructed based on these factors exhibits good discrimination and accuracy.
ObjectiveTo investigate the high-risk factors for death in infants with severe pneumonia. MethodsWe analyzed hospitalized infants and young children diagnosed with severe pneumonia from January 2011 to December 2013, and investigated the risk factors for death. ResultsA total of 1 411 infants with severe pneumonia were included in the analysis. The mortality rate was 3.12%. In single factor analysis, the following factors were significant:age, severe infection, artificial feeding, congenital heart diseases, bad habitation, repeated infection history, surgical history, multi-organ dysfunction, internal environment disorder, multiple drug-resistant strains infection. The results of Logistic multiple regression analysis showed that there were statistical significance in severe infection, repeated infection history, Multiple drug-resistant strains infection, multi-organ dysfunction, and internal environment disorder. ConclusionInfants with severe pneumonia should be intensively monitored and actively treated for reducing the mortality rate if they have one of the following high-risk factors:age, congenital heart diseases, repeated infection history, multiple drug-resistant strains infection, surgical history, multi-organ dysfunction, and internal environment disorder.
Objective To investigate the pleural effusion lymphocyte subsets in patients with pneumonia complicated with pleural effusion and its relationship with the occurrence of critical illness. MethodsPatients with pneumonia complicated with pleural effusion (246 cases) admitted to our hospital from January 2020 to June 2022 were selected as the research subjects. According to the severity of pneumonia, they were divided into a critical group (n=150) and a non-critical group (n=96). After 1:1 matching by propensity score matching method, there were 60 cases in each group. The general data of the two groups were compared. CD3+, CD4+, CD8+, CD4+/CD8+ ratio were detected by flow cytometry. Multivariate logistic regression was used to analyze the risk factors of critical pneumonia, and a nomogram prediction model was constructed and evaluated. The relationship between PSI score and lymphocyte subsets in pleural effusion was analyzed by local weighted regression scatter smoothing (LOWESS). Results After matching, the differences between the two groups of patients in the course of disease, heat peak, heat course, atelectasis, peripheral white blood cell count (WBC), C-reactive protein (CRP), D-dimer (D-D), procalcitonin (PCT) and hemoglobin were statistically significant (P<0.05). Compared with the non-critical group, the proportion of CD3+, CD4+, CD4+/CD8+ cells in critical group was lower (P<0.05), and the proportion of CD8+ cells was higher (P<0.05). Combined atelectasis, increased course of disease, fever peak and fever course, increased WBC, CRP, D-D, CD8+ and PCT levels, and decreased CD3+, CD4+, CD4+/CD8+ and Hb levels were independent risk factors for the occurrence of critical pneumonia (P<0.05). The nomogram prediction model based on independent influencing factors had high discrimination, accuracy and clinical applicability. There was a certain nonlinear relationship between pneomonia severity index and CD3+, CD4+, CD8+ and CD4+/CD8+. Conclusions Lymphocyte subsets in pleural effusion are closely related to the severity of pneumonia complicated with pleural effusion. If CD3+, CD4+, CD8+ and CD4+/CD8+ are abnormal, attention should be paid to the occurrence of severe pneumonia.
ObjectiveTo investigate the condensate pollution in the pipeline of severe pneumonia patients undergoing mechanical ventilation.MethodsFrom January 2017 to January 2019, 120 patients with severe pneumonia treated by mechanical ventilation in our hospital were collected continuously. The lower respiratory tract secretions were collected for bacteriological examination. At the same time, the condensed water in the ventilator exhaust pipe was collected for bacteriological examination at 4, 8, 12, 16, 20 and 24 hours after tracheal intubation and mechanical ventilation. The bacterial contamination in the condensed water at different time points was analyzed and separated from the lower respiratory tract. The consistency of bacteria in secretion and drug resistance analysis of bacterial contamination in condensate water were carried out.ResultsOf the 120 patients with severe pneumonia after mechanical ventilation, isolates were cultured in the lower respiratory tract secretions of 102 patients. One strain was cultured in 88 cases, two strains were cultured in 10 cases, and three strains were cultured in 4 cases. The isolates were mainly Gram-negative bacteria (57.5%) and Gram-positive bacteria (42.5%). The most common isolates were Pseudomonas aeruginosa, Staphylococcus aureus and Acinetobacter baumannii. The contamination rate of condensate water was 5.0% at 4 hours, 37.5% at 8 hours, 60.0% at 12 hours, 76.7% at 16 hours, 95.0% at 20 hours, and 100.0% at 24 hours, respectively. The bacterial contamination rate in condensate water at different time points was statistically significant (P=0.000). The pollution rate at 4 hours was significantly lower than that at 8 hours (P=0.000). Gram-negative bacteria accounted for 57.5% and Gram-positive bacteria accounted for 42.5%. The most common isolates were Staphylococcus aureus, Pseudomonas aeruginosa and Acinetobacter baumannii. The consistency of bacteria in lower respiratory tract and condensate water was 83.3% in severe pneumonia patients undergoing mechanical ventilation. The overall resistance of Pseudomonas aeruginosa, Acinetobacter baumannii and Staphylococcus aureus was higher, but the resistance to imipenem/cilastatin was lower.ConclusionsThe bacterial contamination in the condensate of patients with severe pneumonia during mechanical ventilation is serious. The pollution rate is low within 4 hours. It is consistent with the bacterial contamination in lower respiratory tract and the bacterial resistance is high.
ObjectiveTo analyze the epidemiological and clinical characteristics of severe cases of coronavirus disease 2019 (COVID-19) in order to provide reference for clinical diagnosis and treatment.MethodThe epidemiological histories, clinical characteristics, laboratory examinations, chest images, and treatment outcomes of 20 confirmed cases of severe COVID-19 admitted to Public Health Clinical Center of Chengdu from January 16th to February 5th, 2020 were retrospectively analyzed.ResultsAmong the 20 patients with severe COVID-19, 12 were male and 8 were female. The age ranged from 34 to 84 years old, with an average of (57.4±16.5) years old. Thirteen patients (65.0%) had one or more co-existing diseases, such as hypertension (9 cases), diabetes (6 cases), and coronary atherosclerotic heart disease (4 cases). Eleven cases (55.0%) had a history of living or traveling in Wuhan, 4 cases (20.0%) had a history of living in non-Wuhan areas of Hubei Province, 3 cases (15.0%) had a history of contact with confirmed COVID-19 patients, while 2 cases had no above-mentioned epidemiological history, but had a history of traveling in non-epidemic areas. The main symptoms were fever (100.0%), cough (100.0%), shortness of breath (75.0%), and fatigue (65.0). Some patients developed into acute respiratory distress syndrome in 3-10 d after onset. The white blood cell count of the patients was normal or decreased, the hypersensitive C-reactive protein and serum amyloid protein significantly increased, while the CD4+ T lymphocyte count and CD56+ natural killer cell count significantly decreased. Sixteen patients (80.0%) were given transnasal hyperbaric oxygenation [among whom 6 patients (30.0%) were transferred to non-invasive ventilator after no improvement], 3 patients (15.0%) were given tracheal intubated ventilator, and 1 patient (5.0%) was treated by tracheal intubated ventilator combined with extracorporeal membrane oxygenation to support breathing. By April 8th, 2020, 3 patients died and the remaining 17 had been cured and discharged, with an average length of hospital stay of 21.4 d. The 3 death cases were all elderly with underlying diseases such as heart disease and pulmonary disease.ConclusionsSevere COVID-19 is associated with hypertension, diabetes, heart disease, and other basic diseases, and some patients develope acute respiratory distress syndrome. Respiratory support may help to improve prognosis.
ObjectiveTo investigate the clinical effectiveness of early repair in infants with large ventricular septal defect complicated with pneumonia. MethodsWe retrospectively analyzed the clinical data of 30 infants who underwent emergency operation in our hospital between January 2014 and April 2015. There were 16 males and 14 females at age of 0.9-12.0 (4.6±2.9) months and with weight of 3.0-8.8 (5.6±1.4) kg. They were diagnosed as ventricular septal defect combined with pneumonia as a trial group. There were other 30 patients without pneumonia, 10 males and 20 females, aged of 0.7-19.0 (4.9±4.8) months, weighing 2.6-12 (5.8±2.1) kg, as a control group. All the patients were followed up for 6 months. ResultsOne patient died in the trial group. None died in the control group. There were statistical differences in length of hospital stay (15.73±6.44 d vs. 10.16±2.16 d, P=0.002) and mechanical ventilation time (28.00±15.72 h vs.12.17±9.10 h, P=0.000) between the trial group and the control group. There was no statistical difference in aortic cross-clamping time, cardiopulmonary bypass time, or CICU residence time (P > 0.05). All the patients were followed up for 6 months. Incidence of pneumonia reduced, growth status and exercise tolerance significantly improved. ConclusionEmergency operation for the infants who suffered from ventricular septal defect with severe pneumonia is efficient and effective. Early mechanical ventilation may be beneficial to the procedure.
Objectives To systematically review the efficacy and safety of de-escalation therapy for severe pneumonia. Methods We searched PubMed, EMbase, The Cochrane Library, CBM, CNKI, VIP and WanFang Data databases and the Chinese Clinical Trial Registry (www.chictr.org.cn) to collect randomized controlled trials (RCTs) of de-escalation therapy for patients with severe pneumonia from inception to June, 2017. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed using RevMan 5.3 software. Results A total of 13 RCTs involving 1 860 patients were included. The results of meta-analysis showed that: the de-escalation therapy group was superior to the control group on clinical cure rate (RR=1.28, 95%CI 1.20 to 1.35, P<0.000 01), the total hospitalization time (MD=–6.86, 95%CI –9.12 to –4.59,P<0.000 01), remission time of complications (MD=–6.26, 95%CI –8.43 to –4.10,P<0.000 01) and mortality (RR=0.48, 95%CI 0.28 to 0.82,P=0.001). Reported cases of adverse reactions were rare, in which the degree of reactions ranged from mild to moderate. The safety was fairly satisfactory. Conclusions Current evidence shows that de-escalation therapy for patients with severe pneumonia has improved efficacy compared with conventional treatments, and can significantly shorten the total hospitalization time and reduce mortality. Due to the limited quality and quantity of the included studies, more high quality studies are required to verify above conclusions.
ObjectiveTo investigate the prognostic value of acute kidney injury (AKI) in patients with severe pneumonia complicated with sepsis.MethodsWe retrospectively analyzed the demographic data, vital signs, laboratory examination and other data of 462 patients with severe pneumonia complicated with sepsis in the Department of Emergency West China hospital, Sichuan University from July 2015 to June 2016, as well as the 7-day and 28-day mortality, 28-day mechanical ventilation rate and 28-day intensive care unit (ICU) hospitalization rate. Multivariate logistic regression analysis was used to determine the correlation between AKI and 28-day mortality in patients with severe pneumonia complicated with sepsis at admission.ResultsA total of 462 patients with severe pneumonia complicated with sepsis were retrospectively enrolled in this study. AKI patients at admission had a higher proportion of 7-day (24.6% vs. 9.7%, P<0.001) and 28-day mortality (44.3% vs. 21.2%, P<0.001), 28-day mechanical ventilation rate (63.9% vs. 45.9%, P=0.009) and 28-day ICU admission rate (65.6% vs. 39.4%, P<0.001) than non-AKI patients. There was a significant difference between the two groups (P<0.05). The scores of systemic infection-related organ failure assessment and acute physiology and chronic health evaluationⅡof AKI patients at admission were significantly higher than those of non-AKI patients at admission (P<0.05). Multivariate logistic regression analysis showed that AKI at admission was an independent risk factor for 28-day mortality in patients with severe pneumonia complicated with sepsis [odds ratio: 2.266, 95% confidence interval (1.058, 4.854), P=0.035].ConclusionAKI at admission is helpful for identifying high-risk pneumonia patients complicated with sepsis, and thus may guide the clinical managements of precise medicine.
Objective To observe the changes of soluble triggering receptor expressed on myeloid cell-1 ( sTREM-1) and inflammatory mediators levels in plasma of severe pneumonia patients, and explore the significance of systemic inflammatory response state.Methods Plasma levels of sTREM-1, tumor necrosis factor-α ( TNF-α) and interleukin-10 ( IL-10) were examined in 40 patients with severe pneumonia, 25 patients with uncomplicated pneumonia, and 15 healthy volunteers. Plasma levels of TNF-α,IL-10 and sTREM-1 in survival and non-survival severe pneumoniawere observed on days 1,4, 7 and the day of discharge or death.Results Plasma levels of TNF-α, IL-10, and sTREM-1 [ ( 44. 25 ±10. 81) pg/mL,( 58. 21 ±16. 41) pg/mL, ( 51. 75 ±18. 51) pg/mL, respectively] in the patients with severe pneumonia were higher than those with uncomplicated pneumonia [ ( 24.6 ±6. 45) pg/mL, ( 24. 56 ±7. 1) pg/mL,( 25. 55 ±7. 72) pg/mL, respectively] and the normal controls [ ( 13. 82 ±4. 04) pg/mL, ( 15. 30 ±4. 45)pg/mL, ( 14. 37 ±4. 82) pg/mL, respectively] ( P lt;0. 001) . Plasma levels of TNF-α, IL-10, and sTREM-1 were gradually decreased in the survivors, while maintained at high levels or increased in the non-survivors.The levels of these mediators were all significantly higher in the non-survivors than the survivors at all time points. The ratio of TNF-α/ IL-10 level was higher in the severe pneumonia patients than the uncomplicated pneumonia patients and the control subjects ( 1. 286 ±0. 177 vs. 1. 077 ±0. 410 and 0. 932 ±0. 154) on day 1.The ratio of TNF-α/IL-10 level was higher in the non-survivors than the survivors at all time points. There was negative correlation between plasma levels of sTREM-1 and TNF-αon day 1 ( r = - 0. 479, P =0. 002) ,and positive correlation between plasma levels of sTREM-1 and IL-10 on day 1 ( r = 0. 326, P = 0. 040) .Conclusions There are excessive release of inflammatory mediators and unbalanced systemic inflammatory response in patients with severe pneumonia, especially in non-survivors. sTREM-1, TNF-α and IL-10 are involved in the inflammatory response, and their levels may reflect the prognosis.