This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.
Humans ; China/epidemiology* ; Cross Infection/epidemiology* ; Intensive Care Units/statistics & numerical data* ; Quality Control ; Quality Indicators, Health Care/statistics & numerical data* ; Sepsis/therapy* ; East Asian People/statistics & numerical data*

Adolescent ; Adult ; Cross-Sectional Studies ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Intensive Care Units ; statistics & numerical data ; Male ; Middle Aged ; Organ Transplantation ; psychology ; statistics & numerical data ; Surveys and Questionnaires ; Tissue and Organ Procurement ; statistics & numerical data ; Young Adult

PURPOSE: Fat embolism syndrome (FES) is systemic manifestation of fat emboli in the circulation seen mostly after long bone fractures. FES is considered a lethal complication of trauma. There are various case reports and series describing FES. Here we describe the clinical characteristics, management in ICU and outcome of these patients in level I trauma center in a span of 6 months. METHODS: In this prospective study, analysis of all the patients with FES admitted in our polytrauma intensive care unit (ICU) of level I trauma center over a period of 6 months (from August 2017 to January 2018) was done. Demographic data, clinical features, management in ICU and outcome were analyzed. RESULTS: We admitted 10 cases of FES. The mean age of patients was 31.2 years. The mean duration from time of injury to onset of symptoms was 56 h. All patients presented with hypoxemia and petechiae but central nervous system symptoms were present in 70% of patients. The mean duration of mechanical ventilation was 11.7 days and the mean length of ICU stay was 14.7 days. There was excellent recovery among patients with no neurological deficit. CONCLUSION FES is considered a lethal complication of trauma but timely management can result in favorable outcome. FES can occur even after fixation of the fracture. Hypoxia is the most common and earliest feature of FES followed by CNS manifestations. Any patient presenting with such symptoms should raise the suspicion of FES and mandate early ICU referral.
Adolescent ; Adult ; Central Nervous System Diseases ; etiology ; Early Diagnosis ; Embolism, Fat ; diagnosis ; etiology ; prevention & control ; Fractures, Bone ; complications ; Humans ; Hypoxia ; etiology ; Intensive Care Units ; statistics & numerical data ; Length of Stay ; statistics & numerical data ; Male ; Patient Outcome Assessment ; Time Factors ; Trauma Centers ; statistics & numerical data ; Young Adult

PURPOSE: To examine the relationships between emergency department length of stay (EDLOS) with hospital length of stay (HLOS) and clinical outcome in hemodynamically stable trauma patients. METHODS: Prospective data collected for 2 years from consecutive trauma patients admitted to the trauma resuscitation bay. Only stable blunt trauma patients with appropriate trauma triage criteria requiring trauma team activation were included in the study. EDLOS was determined short if patient spent less than 2 h in the emergency department (ER) and long for more than 2 h. RESULTS: A total of 248 patients were enrolled in the study. The mean total EDLOS was 125 min (range 78-180). Injury severity score (ISS) were significantly higher in the long EDLOS group (17 ± 13 versus 11 ± 9, p < 0.001). However, when leveled according to ISS, there were no differences in mean in diagnostic workup, admission rate to intensive care unit (ICU) or HLOS between the short and long EDLOS groups. CONCLUSION EDLOS is not a significant parameter for HLOS in stable trauma patients.
Emergency Service, Hospital ; statistics & numerical data ; Hospitals ; statistics & numerical data ; Intensive Care Units ; statistics & numerical data ; Israel ; Length of Stay ; Patient Admission ; statistics & numerical data ; Patient Outcome Assessment ; Time Factors ; Trauma Severity Indices ; Wounds and Injuries

Candida ; pathogenicity ; Cross Infection ; microbiology ; prevention & control ; Gram-Negative Bacteria ; pathogenicity ; Humans ; Intensive Care Units ; statistics & numerical data ; Sepsis ; microbiology ; prevention & control

PURPOSE: This study aimed to investigate incidence of delirium in the pediatric intensive care unit (PICU) and to analyze associated risk factors. METHODS: The participants were 95 patients, newborn to 18 years, who were admitted to the PICU. The instruments used were the Richmond Agitation Sedation Scale (RASS), and the Cornell Assessment of Pediatric Delirium. Data analysis was performed using the descriptive, χ² test, t-test, and logistic regression analyses. RESULTS: The incidence of delirium in children admitted to the PICU was 42.1%. There were significant differences according to age (χ²=14.10, p=.007), admission type (χ²=7.40, p=.007), use of physical restraints (χ²=26.11, p<.001), RASS score (χ²=14.80, p=.001), need for oxygen (χ²=5.31, p=.021), use of a mechanical device (χ²=9.97, p=.041), feeding (χ²=7.85, p=.005), and the presence of familiar objects (χ²=29.21, p<.001). Factors associated with the diagnosis of delirium were the use of physical restraint (odds ratio [OR]=13.82, 95% confidence interval [CI]=4.16~45.95, p<.001) and the presence of familiar objects (OR=0.09, 95% CI=0.03~0.30, p=.002). CONCLUSION: Periodic delirium assessments and intervention should be actively performed. The use of restraints should be minimized if possible. The caregiver should surround the child with familiar objects and ensure a friendly hospital environment that is appropriate for the child.
Caregivers ; Child ; Critical Care ; Delirium ; Diagnosis ; Dihydroergotamine ; Humans ; Incidence ; Infant, Newborn ; Intensive Care Units ; Logistic Models ; Oxygen ; Pediatrics ; Restraint, Physical ; Risk Factors ; Statistics as Topic

OBJECTIVE: To find the pathogenies and risk factors related to surgical intensive care unit (SICU) readmission for patients who underwent hepatobiliary-pancreatic surgery, and to develop a predictive model for determining patients who are likely to be readmitted to SICU. METHODS: The patients who admitted to SICU of the Affiliated Hospital of Qingdao University from January 2013 to August 2018; who first stayed in SICU after hepatobiliary-pancreatic surgery; who were assessed and discharged from SICU by surgeons and SICU physicians after treatment, and then transferred to SICU again because of the change of their condition were enrolled. The unintended return to SICU within 3 days and 7 days were recorded. Patients who returned to SICU within 7 days were studied for the pathogenies, risk factors and predictive model of returning to SICU, and non-returning patients were enrolled according to 1:1 as the controls. A total of 43 indicators were divided into five categories, including general clinical data, medical history, surgical indicators before first admission of SICU, length of first SICU stay, and other indicators on the day of first discharge from the SICU. Logistic regression was used to screen the risk factors associated with SICU readmission, then the Nomogram diagram was drawn by using the R 3.4.1 software for predicting SICU readmission, and the classification performance of Nomogram was evaluated by self-help sampling test. RESULTS: Of the 763 patients discharged from the SICU, 2.10% (16/763) of them were readmitted within 3 days and 3.28% (25/763) were readmitted within 7 days to the SICU unexpectedly. The pathogenies of SICU readmission within 7 days included infection [56.00% (14/25)], heart failure [16.00% (4/25)], infarction [12.00% (3/25)], bleeding [12.00% (3/25)], and sutures splitting [4.00% (1/25)]. The pathogenies of SICU readmission within 3 days included infection [56.25% (9/16)], heart failure [18.75% (3/16)], infarction [12.50% (2/16)], and bleeding [12.50% (2/16)]. Nomogram analysis showed that the risk factors associated with unplanned SICU readmission were length of first SICU stay, history of hypertension, and activity of daily living (ADL) score, white blood cell count (WBC), arterial partial pressure of oxygen (PaO₂), prothrombin time (PT), fibrinogen (FIB) on the day of first SICU discharge. Self-help sampling test was carried out on the Nomogram map, and the results showed that the coherence index (C-index) was 0.962 [95% confidence interval (95%CI) = 0.869-1.057]. The classification performance of the model was good. CONCLUSIONS The common pathogenies of SICU readmission for patients who underwent hepatobiliary-pancreatic surgery were infection, heart failure, infarction and bleeding. Risk factors of readmission after SICU discharge included the length of first SICU stay, history of hypertension, and ADL score, WBC, PaO₂, PT, FIB on the day of first SICU discharge. The model consisted of above risk factors showed a good performance in predicting the probability of readmission after SICU discharge for patients who underwent hepatobiliary-pancreatic surgery.
Biliary Tract Diseases/surgery* ; Digestive System Surgical Procedures/adverse effects* ; Humans ; Intensive Care Units ; Liver Diseases/surgery* ; Models, Statistical ; Pancreatic Diseases/surgery* ; Patient Readmission/statistics & numerical data* ; Postoperative Complications/therapy* ; Risk Factors

BACKGROUND AND OBJECTIVE: Stroke volume variation (SVV) has high sensitivity and specificity in predicting fluid responsiveness. However, sinus rhythm (SR) and controlled mechanical ventilation (CV) are mandatory for their application. Several studies suggest a limited applicability of SVV in intensive care unit (ICU) patients. We hypothesized that the applicability of SVV might be different over time and within certain subgroups of ICU patients. Therefore, we analysed the prevalence of SR and CV in ICU patients during the first 24 h of PiCCO-monitoring (primary endpoint) and during the total ICU stay. We also investigated the applicability of SVV in the subgroups of patients with sepsis, cirrhosis, and acute pancreatitis. METHODS: The prevalence of SR and CV was documented immediately before 1241 thermodilution measurements in 88 patients. RESULTS: In all measurements, SVV was applicable in about 24%. However, the applicability of SVV was time-dependent: the prevalence of both SR and CV was higher during the first 24 h compared to measurements thereafter (36.1% vs. 21.9%; P<0.001). Within different subgroups, the applicability during the first 24 h of monitoring ranged between 0% in acute pancreatitis, 25.5% in liver failure, and 48.9% in patients without pancreatitis, liver failure, pneumonia or sepsis. CONCLUSIONS The applicability of SVV in a predominantly medical ICU is only about 25%-35%. The prevalence of both mandatory criteria decreases over time during the ICU stay. Furthermore, the applicability is particularly low in patients with acute pancreatitis and liver failure.
Adult ; Aged ; Analysis of Variance ; Blood Pressure ; Female ; Fluid Therapy ; Hemodynamics ; Humans ; Intensive Care Units ; Liver Failure ; physiopathology ; therapy ; Male ; Middle Aged ; Monitoring, Physiologic ; methods ; statistics & numerical data ; Pancreatitis ; physiopathology ; therapy ; Prospective Studies ; Respiration, Artificial ; Sepsis ; physiopathology ; therapy ; Stroke Volume

BackgroundGastrointestinal dysfunction plays a critical role in the prognosis of critically ill patients. Previous studies showed rhubarb, a traditional Chinese herb, can protect the intestinal barrier function, prevent intestinal bacterial translocation, and promote gastrointestinal peristalsis, but the clinical studies are less. The aim of this study was to evaluate the effects of rhubarb on gastrointestinal dysfunction in critically ill patients.

MethodsFrom June 2015 to May 2017, a total of 368 critically ill patients with Grade I-III acute gastrointestinal injury (AGI) were enrolled in this study. Patients were divided into two groups according to the exposure factors (whether the patients received rhubarb treatment): the rhubarb group and the usual treatment group. Clinical data were collected within the first 24 h of the Intensive Care Unit (ICU) admission and 7 days after treatment. Survival data on day 28 after ICU admission and the durations of ICU and total hospitalization were also collected. Propensity score matching (PSM) was conducted to reduce confounding bias between the groups. The logistic regression was conducted to screen the influence factors.

ResultsThe eligible patients were divided into rhubarb group (n = 219, 59.5%) and usual treatment group (n = 149, 40.5%). Before PSM, the remission rate of feeding intolerance in rhubarb group and usual treatment group were 59.8% and 39.6%, respectively. After PSM, the remission rate of feeding intolerance in rhubarb group and usual treatment group was 77.9% and 30.9%, respectively. The remission rates of feeding intolerance in rhubarb group were significantly higher than those in the usual treatment group (all P < 0.05). Compared with the usual treatment group, the rhubarb group had a higher rate of AGI improvement, lower level of C-reactive protein, shorter stay in ICU before and after PSM (P < 0.05). There was no significant difference in 28-day mortality between rhubarb and usual treatment groups before and after PSM (48 vs. 33, P = 0.959; and 16 vs. 21, P = 0.335). The logistic regression analysis showed that the single factor, whether receiving rhubarb therapy, affected the proportion of patients whose enteral nutrition needs ≥83.7 kJ·kg·d after 7 days of treatment (odds ratio: 7.908, 95% confidence interval: 3.661-17.083, P < 0.001). No serious adverse effects were found in two groups.

ConclusionsThe rhubarb might significantly improve feeding tolerance and relieve gastrointestinal dysfunction in critically ill patients, without serious adverse reactions. It provided proof for the treatment of gastrointestinal dysfunction with rhubarb during clinical practice.

APACHE ; Adult ; Aged ; Critical Illness ; Female ; Gastrointestinal Diseases ; metabolism ; pathology ; Humans ; Intensive Care Units ; statistics & numerical data ; Male ; Middle Aged ; Plant Extracts ; chemistry ; therapeutic use ; Propensity Score ; Retrospective Studies ; Rheum ; chemistry

INTRODUCTIONThis study aimed to determine the usefulness and validity of the triaging scale used in our emergency department (ED) by analysing its association with surrogate clinical outcome measures of severity consisting of hospitalisation rate, intensive care unit (ICU) admission, length of ED stay, predictive value for admission and length of hospitalisation.

METHODSA retrospective observational study was conducted of the performance markers of the Singapore Paediatric Triage Scale (SPTS) to identify children who needed immediate and greater care. All children triaged and attended to at the paediatric ED at KK Women's and Children's Hospital, Singapore, from 1 January 2014 to 31 December 2014 were included. Data was retrieved from the Online Paediatric Emergency Care system, which is used for patients' care from initial triaging to final disposition.

RESULTSAmong 172,933 ED attendances, acuity levels 1, 2 plus, 2 and 3 were seen in 2.3%, 26.4%, 13.5% and 57.8% of patients, respectively. For admissions, triage acuity level 1 had a strong positive predictive value (79.5%), while triage acuity level 3 had a strong negative predictive value (93.7%). Fewer patients with triage acuity level 3 (6.3%) were admitted as compared to those with triage acuity level 1 (79.5%) (p < 0.001). There was a correlation between triage level and length of ED stay.

CONCLUSIONThe SPTS is a valid tool for use in the paediatric emergency setting. This was supported by strong performance in important patient outcomes, such as admission to hospital, ICU admissions and length of ED stay.

Child ; Child, Preschool ; Critical Care ; statistics & numerical data ; Emergency Service, Hospital ; Female ; Hospitalization ; Hospitals, Pediatric ; Humans ; Infant ; Intensive Care Units ; Length of Stay ; Male ; Patient Admission ; Pediatrics ; methods ; Predictive Value of Tests ; Retrospective Studies ; Singapore ; Time Factors ; Treatment Outcome ; Triage ; methods