ObjectiveTo survey the current situation of post-intensive care syndrome (PICS) among patients in respiratory intensive careunit (RICU), and explore the effect factors of PICS.MethodsBy convenience sampling, 125 patients in the RICU of Peking University First Hospital were recruited in the study. The patients were tested for PICS using Mini-mental State Examination (MMSE), Confusion Assessment Method for the ICU (CAM-ICU), Hospital Anxiety and Depression Scale (HADS), Medical Research Council (MRC), Activities of Daily Living (ADL), Pittsburg Sleep Quality Index (PSQI), Fatigue Scale-14 (FS-14), including three aspects of cognition, psychology and physiology. The effect factors of PICS were measured through researcher-created Questionnaire on Patients’ General Information and Questionnaire on Disease-Related Information.ResultsIn this study, the actual effective sample size was 110 cases, among which 59 cases developed PICS, with an incidence of 53.6%. Logistic regression showed that effect factors of PICS were age, invasive mechanical ventilation time, noninvasive ventilator assisted ventilation time and coronary atherosclerotic heart disease (P< 0.05).ConclusionsThe incidence of PICS in RICU patients is 53.6%, which is at a high level. Advanced age, long duration of invasive mechanical ventilation, long duration of non-invasive ventilator assisted ventilation, and coronary atherosclerotic heart disease are the risk factors of PICS. Medical and nursing staff should pay more attention to PICS, intervene in the risk factors of the patient, and take targeted measures to prevent the occurrence of PICS.
ObjectiveTo explore the applicability of early goal-directed sedation (EGDS) in intensive care unit (ICU) patients with mechanical ventilation.MethodsAn prospective double blind study was conducted. ICU patients with mechanical ventilation in the First Affiliated Hospital of Jinzhou Medical University were recruited as research objects by chester sampling from September 2015 to September 2017, and divided into an experimental group and a control group by stratified randomization. Two groups were sedated on the basis of adequate analgesia. The experimental group adopted the EGDS strategy that dexmedetomidin was the first choice to be infused at the rate of 1 μg·kg–1·h–1. And the patients were given Richmond agitation-sedation score (RASS) on the interval of 4 hours: used additionally propofol and midazolam if RASS>2, or reduced right metomomidin at the speed of 0.2 μg·kg–1·h–1 per 30 min if RASS<–3, and stopped sedation until RASS of –2 to 0. The control group adopted routine sedation strategy that propofol was the first choice to be infused and combined with dexmedetomidine and midazolam until RASS score in –2 to –3. The doses of sedative drugs, mechanical ventilation time, ICU-stayed time, total hospitalization time and the incidence of adverse events such as delirium, accidental extubation, and ICU death were compared between two groups.ResultsSixty-sis cases were selected in the experimental group and 71 in the control group. The baseline data such as gender, age, acute physiology chronic health evaluation Ⅱ (APACHEⅡ), or basic diseases in two groups had no significant differences. Compared with the control group, the per capita total doses of dexmedetomidine, propofol and midazolam in the experimental group were significantly less [right metopromicine (μg): 154.45±27.86 vs. 378.85±39.76; propofol (mg): 4 490.03±479.88 vs. 7 349.76±814.31; midazolam (mg): 255.38±46.24 vs. 562.79±97.26; all P<0.01], mechanical ventilation time, ICU-stayed time, total hospitalization time were significantly lower [mechanical ventilation time (d): 7.7±3.3vs. 11.7±3.6; ICU-stayed time (d): 10.2±3.9 vs. 19.2±4.1, total hospitalization time (d): 29.9±4.6 vs. 50.4±9.1; all P<0.01]. The Kaplan-Meier survival curves showed that the incidence of delirium in the experimental group was significantly lower than that in the control group (log-rankχ2=5.481, P<0.05). The accidental extubation rate and accidental fatality rate in two groups had no significant differences (log-rankχ2=0.078, 0.999, P>0.05).ConclusionEGDS can not only reduce the dose of sedative drugs, shorten the mechanical ventilation time, the ICU-stayed time and the total hospitalization time, but also reduce the incidence of delirium, so it has a positive impact in ICU patients with mechanical ventilation.
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 the causes of ventilator-associated pneumonia (VAP) in patients with tumor in Intensive Care Unit (ICU), and take effective intervention measures to reduce the incidence of VAP.
MethodsThe targeted monitoring was conducted for the ICU patients who underwent the mechanical ventilation for over 48 hours from January 2013 to December 2014. Then the conventional nursing measures where adopted in 2013 without any field intervention measure implemented. While the prevention and control method was conducted in 2014 and the causes of VAP was valued and anyzed.
ResultsAfter adopting intervention measures, the thousand-day rate of VAP decreased from 8.71‰ before the interventions to 2.30‰ after the interventions. The utilization rate of ventilators increased from 63% to 72% after the interventions were taken in 2014. The constituent ratio of the multidrug-resistant bacteria among the isolated pathogens in each year presented a downward trend.
ConclusionVAP is common in ICU patients. It is necessary to reach preventive measures and designated position and ventilator management so as to prevent the occurrence of new nosocomial infection.
Objective To investigate the predictive value of the prognostic nutritional index (PNI) for 28-day all-cause mortality in patients with chronic obstructive pulmonary disease (COPD) in intensive care unit (ICU). Methods The relationship between PNI and short-term mortality in COPD patients was analysed using COX proportional hazards and restricted cubic spline (RCS) models. Receiver operating characteristic (ROC) curves were plotted and area under the ROC curve (AUC) was calculated to assess the predictive performance of PNI. The optimal cut-off value for PNI was determined using the Youden index, and the data were divided into a low PNI group and a high PNI group. Kaplan-Meier curves were then constructed and the log-rank test was used to assess differences in survival between the two groups. Results A total of 980 COPD patients were included in the study. Multivariable COX regression analysis showed that PNI was an independent factor influencing short-term mortality in the severe COPD patients (HR=0.972, 95%CI 0.948 - 0.995, P=0.019). RCS curve results showed a non-linear relationship between PNI and short-term mortality in the severe COPD patients (P for non-linear=0.032), with the risk of death gradually decreasing as PNI increased. The ROC curve indicated that PNI had some predictive power, comparable to that of SOFA score [(AUCPNI=0.693) vs. (AUCSOFA=0.672)]. Kaplan-Meier curve analysis showed a significant difference in survival time between the low (≤38.3) PNI group and the high (>38.3) PNI group (P<0.05). Conclusions PNI has a certain predictive role for short-term all-cause mortality in patients with severe COPD. Patients with low PNI at ICU admission have a higher risk of short-term mortality.
ObjectiveTo investigate the risk factors, prognostic factors and prognosis of Multidrug-Resistant Acinetobacter Baumannii (MDR-AB) infection of lower respiratory tract in Intensive Care Unit (ICU) of the Second Affiliated Hospital of Anhui Medical University.
MethodsUsing retrospective analysis, we reviewed and compared clinical data of 77 AB infections in lower respiratory tract cases in ICU from January 2013 to March 2015. According to the resistance, patients were divided into a MDR-AB group and a NMDR-AB group. Then the risk factors, prognostic factors and prognosis of MDR-AB infection were analyzed.
ResultsA total of 58 cases in the MDR-AB group, 19 cases in the NMDR-AB group were included. The result showed that, the MDR-AB infection in lower respiratory tract could significantly prolong the length of ICU stay (18.5±16.0 vs. 10.6±9.3 days, P<0.05) and increase the mortality (44.8% vs. 11.1%, P<0.01). Logistic regression analysis showed that the independent risk factors for MDR-AB infection in lower respiratory tract included Acute Physiology and Chronic Health Evaluation Ⅱ (Apache Ⅱ) score >15 (OR=0.138, 95%CI 0.03 to 0.625, P=0.01) and use of carbapenems (OR=0.066, 95%CI 0.012 to 0.0346, P=0.001). The independent prognostic factors included placement of drainage tube (OR=8.743, 95%CI 1.528 to 50.018, P=0.015) and use of vasoactive drugs (OR=12.227, 95%CI 2.817 to 53.074, P=0.001).
ConclusionThe MDR-AB infection in lower respiratory tract can significantly prolong the length of ICU stay and increase the mortality. The Apache Ⅱ score >15 and use of carbapenems are the risk factors, and the placement of drainage tube and use of vasoactive drugs can increase the mortality of MDR-AB infection of lower respiratory tract in ICU.
