OBJECTIVE: To analyze the risk factors for ventilator-associated pneumonia (VAP) and its prognosis in patients with severe craniocerebral injury. METHODS: A prospective observational study was conducted. Patients with severe craniocerebral injury admitted to the Second Affiliated Hospital of Xingtai Medical College from January 2020 to December 2022 were enrolled as the study subjects. Patients were divided into VAP group and non-VAP group based on the occurrence of VAP. VAP patients were further stratified into low-risk group [sequential organ failure assessment (SOFA) score 0-5], moderate-risk group (SOFA score 6-8), and high-risk group (SOFA score ≥ 9). General data, serological indicators [interleukin-6 (IL-6), interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and signal transducer and activator of transcription 3 (STAT3)], and 28-day prognosis (with mortality as the endpoint event) were compared. Multivariate Logistic regression was used to identify risk factors for VAP and 28-day mortality. Linear regression was applied to analyze the correlations between risk factors and outcomes. RESULTS: A total of 140 patients with severe craniocerebral injury were enrolled, including 49 in the VAP group and 91 in the non-VAP group. The primary cause of injury was traffic accidents, followed by falls and heavy object impacts. Among VAP patients, 38 survived and 11 died within 28 days; 112 were classified as low-risk, 25 as moderate-risk, and 12 as high-risk. Significant differences were observed in age, body mass index (BMI), smoking history, hypertension, diabetes, hyperlipidemia, length of hospital stay, duration of mechanical ventilation, serum albumin levels, and frequency of sputum suction among different subgroups. Serologically, IL-1β, TNF-α, IL-6, and STAT3 mRNA expression levels in the VAP group were significantly higher than those in the non-VAP group. Deceased VAP patients exhibited higher IL-1β, TNF-α, IL-6, and STAT3 mRNA levels compared to survivors. These biomarkers progressively increased from low-risk to high-risk subgroups. Multivariate Logistic regression identified age [odds ratio (OR) were 0.328 and 0.318], BMI (OR were 0.340 and 0.268), hypertension (OR were 0.275 and 0.245), diabetes (OR were 0.319 and 0.307), hyperlipidemia (OR were 0.228 and 0.235), smoking history (OR were 0.255 and 0.240), length of hospital stay (OR were 0.306 and 0.230), duration of mechanical ventilation (OR were 0.247 and 0.219), frequency of sputum suction (OR were 0.325 and 0.228), IL-1β (OR were 0.231 and 0.259), TNF-α (OR were 0.308 and 0.235), IL-6 (OR were 0.298 and 0.277), and STAT3 (OR were 0.259 and 0.265) as independent risk factors for both VAP occurrence and 28-day mortality (all P < 0.05). Correlation analysis revealed that serum albumin levels were negatively correlated with VAP occurrence and mortality (all P < 0.01), while other factors showed positive correlations (all P < 0.01). CONCLUSIONS Age, BMI, length of hospital stay, duration of mechanical ventilation, frequency of sputum suction, hypertension, diabetes, hyperlipidemia, smoking history, IL-1β, TNF-α, and IL-6/STAT3 signaling pathway activation are significantly associated with VAP development and poor prognosis in patients with severe craniocerebral injury, providing a scientific basis for targeted clinical interventions.
Humans ; Risk Factors ; Pneumonia, Ventilator-Associated ; Prognosis ; Prospective Studies ; Craniocerebral Trauma/complications* ; Interleukin-6/blood* ; Male ; Female ; STAT3 Transcription Factor/blood* ; Interleukin-1beta/blood* ; Tumor Necrosis Factor-alpha/blood* ; Middle Aged ; Adult ; Logistic Models

Objective: To explore the risk factors of pulmonary hypertension (PH) in premature infants with bronchopulmonary dysplasia (BPD), and to establish a prediction model for early PH. Methods: This was a retrospective cohort study. Data of 777 BPD preterm infants with the gestational age of <32 weeks were collected from 7 collaborative units of the Su Xinyun Neonatal Perinatal Collaboration Network platform in Jiangsu Province from January 2019 to December 2022. The subjects were randomly divided into a training cohort and a validation cohort at a ratio of 8∶2 by computer, and non-parametric test or χ² test was used to examine the differences between the two retrospective cohorts. Univariate Logistic regression and multivariate logistic regression analyses were used in the training cohort to screen the risk factors affecting the PH associated with BPD. A nomogram model was constructed based on the severity of BPD and its risk factors,which was internally validated by the Bootstrap method. Finally, the differential, calibration and clinical applicability of the prediction model were evaluated using the training and verification queues. Results: A total of 130 among the 777 preterm infants with BPD had PH, with an incidence of 16.7%, and the gestational age was 28.7 (27.7, 30.0) weeks, including 454 males (58.4%) and 323 females (41.6%). There were 622 preterm infants in the training cohort, including 105 preterm infants in the PH group. A total of 155 patients were enrolled in the verification cohort, including 25 patients in the PH group. Multivariate Logistic regression analysis revealed that low 5 min Apgar score (OR=0.87, 95%CI 0.76-0.99), cesarean section (OR=1.97, 95%CI 1.13-3.43), small for gestational age (OR=9.30, 95%CI 4.30-20.13), hemodynamically significant patent ductus arteriosus (hsPDA) (OR=4.49, 95%CI 2.58-7.80), late-onset sepsis (LOS) (OR=3.52, 95%CI 1.94-6.38), and ventilator-associated pneumonia (VAP) (OR=8.67, 95%CI 3.98-18.91) were all independent risk factors for PH (all P<0.05). The independent risk factors and the severity of BPD were combined to construct a nomogram map model. The area under the receiver operating characteristic (ROC) curve of the nomogram model in the training cohort and the validation cohort were 0.83 (95%CI 0.79-0.88) and 0.87 (95%CI 0.79-0.95), respectively, and the calibration curve was close to the ideal diagonal. Conclusions: Risk of PH with BPD increases in preterm infants with low 5 minute Apgar score, cesarean section, small for gestational age, hamodynamically significant patent ductus arteriosus, late-onset sepsis, and ventilator-associated pneumonia. This nomogram model serves as a useful tool for predicting the risk of PH with BPD in premature infants, which may facilitate individualized early intervention.
Infant ; Male ; Infant, Newborn ; Humans ; Pregnancy ; Female ; Bronchopulmonary Dysplasia/epidemiology* ; Infant, Premature ; Hypertension, Pulmonary/epidemiology* ; Retrospective Studies ; Nomograms ; Ductus Arteriosus, Patent/epidemiology* ; Pneumonia, Ventilator-Associated/complications* ; Cesarean Section/adverse effects* ; Gestational Age ; Risk Factors ; Sepsis

OBJECTIVETo explore the risk factors of ventilator-associated pneumonia (VAP) in patients admitted in an intensive care unit (ICU) for pulmonary tuberculosis (TB).

METHODSThe clinical data of 143 patients admitted in the ICU at our center between January, 2014 and June, 2015 were reviewed. The patients with VAP and those without VAP were analyzed for risk factors of VAP in the setting of an ICU for pulmonary TB and compared for the duration of ventilation and hospital stay.

RESULTSThe patients with pulmonary TB showed a significantly higher incidence of VAP in the ICU than those without TB. Univariate analysis suggested that the occurrence of VAP was significantly correlated with the duration of mechanical ventilation, invasive examination, pulmonary tuberculosis, lung structure changes, use of multiple antibiotics, diabetes, tracheal incision, indwelling gastric tube, APACHE II score, and coma (P<0.05). Multivariate logistic regression analysis showed that pulmonary TB, duration of mechanical ventilation, APACHE II score, invasive operation, and use of multiple antibiotics were independent risk factors for VAP (P<0.05). The patients who developed VAP had a prolonged duration of mechanical ventilation and ICU stay (P<0.05).

CONCLUSIONPatients admitted in tuberculosis ICU are exposed to a high risk of VAP with a high mortality rate as the result of multiple interacting risk factors. Pulmonary TB, prolonged mechanical ventilation, an APACHE II score >15, invasive operation, and use of multiple antibiotics are all independent risk factors for VAP in tuberculosis ICU.

APACHE ; Anti-Bacterial Agents ; adverse effects ; Humans ; Incidence ; Intensive Care Units ; Length of Stay ; Pneumonia, Ventilator-Associated ; complications ; Respiration, Artificial ; adverse effects ; Risk Factors ; Time Factors ; Tuberculosis, Pulmonary ; complications

OBJECTIVETo study risk factors for periventricular-intraventricular hemorrhage (PVH-IVH) in premature infants treated with mechanical ventilation.

METHODSA total of 205 premature infants who were admitted to the neonatal intensive care unit (NICU) and treated with mechanical ventilation between January 2009 and December 2011 were enrolled. They were classified into PVH-IVH and non-PVH-IVH groups according to the results of head ultrasonography performed at 3 to 7 days after birth. Single factor and multivariate logistic regression analysis were used to identify risk factors for PVH-IVH.

RESULTSSingle factor analysis indicated 9 factors associated with the development of PVH-IVH, including a gestational age of <32 weeks, a birth weight of <1500 g, intrauterine distress, severe asphyxia, vaginal delivery, maternal perinatal infection, premature rupture of membranes (PROM) at ≥8 hours, mechanical ventilation duration of ≥7 days and ventilator-associated pneumonia (VAP) (P<0.05). Multivariate logistic regression analysis showed that a birth weight of <1500 g (OR=2.665), intrauterine distress (OR=2.177), severe asphyxia (OR=5.653), maternal perinatal infection (OR=4.365) and VAP (OR=2.299) were independent risk factors for the development of PVH-IVH (P<0.05).

CONCLUSIONSVery low birth weight, intrauterine distress, severe asphyxia, maternal perinatal infection and VAP are closely associated with an increased risk of PVH-IVH in premature infants treated with mechanical ventilation. These clinical risk factors should be given more attention in the prevention of PVH-IVH.

Cerebral Hemorrhage ; etiology ; Female ; Humans ; Infant, Newborn ; Infant, Premature ; Infant, Premature, Diseases ; etiology ; Intensive Care Units, Neonatal ; Logistic Models ; Male ; Pneumonia, Ventilator-Associated ; complications ; Prognosis ; Respiration, Artificial ; adverse effects ; Risk Factors

OBJECTIVETo investigate the clinical features of postoperative ventilator-associated pneumonia (VAP) after lung surgery.

METHODSOf 104 patients who had undergone lung surgery and been treated with ventilator in our surgical intensive care unit between January 2003 and March 2005, 35 patients met with the criteria of both VAP and postoperative pneumonia (POP), and 41 cases had no evidences of pneumonia. The clinical and laboratory data of all 76 cases were recorded and analyzed by a statistical software package (SPSS).

RESULTSThe diagnosis of postoperative VAP was established clinically in 35 patients (46.1%), and etiologically in 33 cases. Compared to the patients without postoperative VAP, the patients with postoperative VAP had a significantly longer mean interval between intubation and operation [(2.7 +/- 2.9) days vs. (1.6 +/- 1.7) days, P = 0.039], a longer duration of mechanical ventilation [(32.2 +/- 37.7) days vs. (4.2 +/- 2.9) days, P < 0.001], and higher morbidity (20.0% vs. 2.4%, P = 0.013). There was a significant difference in mean duration of mechanical ventilation between the 15 cases of early-onset VAP and 20 cases of late-onset VAP (17 +/- 15 days vs. 43 +/- 46 days, P = 0.042). Among the initially detected pathogen, Staphylococcus aureus remains the most common Gram-positive coccus whereas Acinetobacter Baumannii took the place of Pseudomonas aeruginosa as the top Gram-negative rod.

CONCLUSIONPostoperative VAP after lung surgery has different clinical features from VAP in medical ICU.

Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Pneumonia, Ventilator-Associated ; diagnosis ; epidemiology ; etiology ; Postoperative Complications ; Pulmonary Surgical Procedures ; adverse effects ; Respiration, Artificial ; adverse effects ; Retrospective Studies ; Risk Factors ; Time Factors