1.Analysis of risk factors of ventilator-associated pneumonia in an intensive care unit.
Juan WANG ; De-Xian LI ; Chao-Xian YU ; Su HUANG ; Yan-Qiong LIANG
Journal of Southern Medical University 2016;36(5):719-723
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
2.The clinical features of postoperative ventilator-associated pneumonia after lung surgery.
Xing-an WANG ; Wen-pu TONG ; Ge-ning JIANG ; Jia-an DING ; Yi-ming ZHOU
Chinese Journal of Surgery 2006;44(18):1225-1228
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
3.Risk factors for periventricular-intraventricular hemorrhage in premature infants treated with mechanical ventilation.
Fa-Lin XU ; Jia-Jia DUAN ; Yan-Hua ZHANG ; Xiao-Li ZHANG ; Jia-Jia GUO
Chinese Journal of Contemporary Pediatrics 2012;14(11):838-841
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
4.Assessment of risk factors for bronchopulmonary dysplasia with pulmonary hypertension and construction of a prediction nomogram model.
Shu Zhen DAI ; Shu Shu LI ; Mei Yun ZHOU ; Yan XU ; Lin ZHANG ; Yu Han ZHANG ; Dan Ni YE ; Li Ping XU ; Shu Ping HAN
Chinese Journal of Pediatrics 2023;61(10):902-909
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
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Male
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Infant, Newborn
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Humans
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Pregnancy
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Female
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Bronchopulmonary Dysplasia/epidemiology*
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Infant, Premature
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Hypertension, Pulmonary/epidemiology*
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Retrospective Studies
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Nomograms
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Ductus Arteriosus, Patent/epidemiology*
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Pneumonia, Ventilator-Associated/complications*
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Cesarean Section/adverse effects*
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Gestational Age
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Risk Factors
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Sepsis