scholarly journals Designing and Evaluating the Establishment of Admission Criteria for Patients in an Intensive Care Unit: A Descriptive Study in Iran

Author(s):  
Fariba Hosseinpour ◽  
Mahyar Sedighi ◽  
Fariba Hashemi ◽  
Sima Rafiei

Background: A few studies have reviewed and revised ICU admission criteria based on specific circumstances and local conditions. The aim was to develop ICU admission criteria and compare the cost, mortality, and length of stay among identified admission priorities. Methods: This was a cross-sectional study conducted in an intensive care unit of a training hospital in Qazvin, Iran. The study was conducted among 127 patients admitted to ICU from July to September 2019. The data collection tool was a self-designed checklist, which included items regarding patients' clinical data and their billing, type of diagnosis, level of consciousness at the time of hospitalization based on GCS scale or Glasgow Coma Scale, length of stay, and patient status at the time of discharge. Descriptive statistical tests were used to describe study variables, and in order to determine the relationship between study variables, ANOVA and Chi-square test were used. Results: A set of criteria were designed to prioritize patient admissions in ICU. Based on the defined criteria, patients were categorized into four groups based on patient's stability, hemodynamic, and respiration. Study findings revealed that a significant percentage of patients were admitted to the ward while in the second and third priorities of hospitalization (26.8 % and 32.3 %, respectively). There was a statistically significant difference in the four groups in terms of patients' age, total cost, and insurance share of the total cost (P-value < 0.05). Conclusion: Study results emphasize the necessity to classify patients based on defined criteria to efficiently use available resources.

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S713-S713
Author(s):  
Carlo Fopiano Palacios ◽  
Eric Lemmon ◽  
James Campbell

Abstract Background Patients in the neonatal intensive care unit (NICU) often develop fevers during their inpatient stay. Many neonates are empirically started on antibiotics due to their fragile clinical status. We sought to evaluate whether the respiratory viral panel (RVP) PCR test is associated with use of antibiotics in patients who develop a fever in the NICU. Methods We conducted a retrospective chart review on patients admitted to the Level 4 NICU of the University of Maryland Medical Center from November 2015 to June 2018. We included all neonates who developed a fever 48 hours into their admission. We collected demographic information and data on length of stay, fever work-up and diagnostics (including labs, cultures, RVP), and antibiotic use. Descriptive statistics, Fisher exact test, linear regression, and Welch’s ANOVA were performed. Results Among 347 fever episodes, the mean age of neonates was 72.8 ± 21.6 days, and 45.2% were female. Out of 30 total RVP samples analyzed, 2 were positive (6.7%). The most common causes of fever were post-procedural (5.7%), pneumonia (4.8%), urinary tract infection (3.5%), meningitis (2.6%), bacteremia (2.3%), or due to a viral infection (2.0%). Antibiotics were started in 208 patients (60%), while 61 neonates (17.6%) were already on antibiotics. The mean length of antibiotics was 7.5 ± 0.5 days. Neonates were more likely to get started on antibiotics if they had a negative RVP compared to those without a negative RVP (89% vs. 11%, p-value &lt; 0.0001). Patients with a positive RVP had a decreased length of stay compared to those without a positive RVP (30.3 ± 8.7 vs. 96.8 ± 71.3, p-value 0.01). On multivariate linear regression, a positive RVP was not associated with length of stay. Conclusion Neonates with a negative respiratory viral PCR test were more likely to be started on antibiotics for fevers. Respiratory viral PCR testing can be used as a tool to promote antibiotic stewardship in the NICU. Disclosures All Authors: No reported disclosures


2018 ◽  
Vol 23 (suppl_1) ◽  
pp. e14-e15
Author(s):  
Daryl Cheng ◽  
Caitlyn Hui ◽  
Kate Langrish ◽  
Carolyn Beck

Abstract BACKGROUND Paediatric intermediate care units (IC) function to provide a higher level of inpatient paediatric care such as frequent monitoring or nursing intervention compared to routine inpatient general paediatric care. A small subset of these patients in IC deteriorate further and require transfer to the paediatric intensive care unit (PICU). By identifying patient characteristics at the time of admission that predict secondary transfer, specific monitoring, resource allocation and early intervention may be implemented in order to improve quality of care. Appropriate and timely patient flow and length of stay (LOS) can also be optimized. DESIGN/METHODS The IC at our tertiary care institution admits predominantly general paediatric patients. Its admission criteria have been designed with input from stakeholders, and comprise a range of physiologic and resource based measures. Data were collected on patients who were admitted to IC, including those subsequently transferred to PICU, between July 2016 - June 2017. Patients whose index IC admission was from the PICU were excluded. Data included demographic and physiologic characteristics (heart rate, respiratory rate, temperature, oxygen therapy) and the bedside paediatric early warning system (BPEWS) score, a validated score based on vital signs. Quantitative and qualitative data were analyzed using Fisher and Mann-Whitney tests respectively. RESULTS 210 patient visits occurred in this time period, with 44 (20.95%) transferred to PICU (Table 1). Transferred patients showed no significant difference in age or sex. However, they had significantly higher median BPEWS, heart rate, respiratory rate and mean body temperature compared to non-transferred patients, as well as a significantly higher rate of respiratory support and shorter LOS on IC. There was a non-significant trend toward admission directly from the Emergency Department (ED) in transferred patients. Admission criteria and main organ systems affected were similar amongst both groups, with a predominance of respiratory conditions. PICU transfer was predicted by most physiological characteristics, including BPEWS. This coupled with a significantly shorter length of stay is a likely reflection of higher disease acuity in this group of patients and higher risk of deterioration and subsequent transfer to PICU. CONCLUSION The need for close monitoring of physiologic parameters remains paramount in predicting the need for transfer from the IC to PICU.


2020 ◽  
Vol 5 (2) ◽  
pp. 32-38
Author(s):  
Shirish Raj Joshi ◽  
Renu Gurung ◽  
Subhash Prasad Acharya ◽  
Bashu Dev Parajuli ◽  
Navindra Raj Bista

Introduction: Lactate clearance has been widely investigated. Serial lactate concentrations can be used to examine disease severity and predict mortality in the intensive care unit. We investigated the diagnostic accuracy of lactate concentration and lactate clearance in predicting mortality in critically ill patients during the first 24 hours in Intensive Care Unit (ICU).Methods: It was a Prospective, observational study conducted in ICU. Sixty eight consecutive patients having blood lactate level >2 mmol/L were included irrespective of disease and postoperative status. We measured blood lactate concentration at ICU admission(H0), at six hours(H6), 12 hours(H12), and 24 hours(H24). Lactate clearance was measured for H0-H6, H0-H12 and H0-H24 time period.Results: ICU mortality was 33.8%. Lactate clearance was 15.80 ± 17.21% in survivors and 1.73±11% in non survivors for the H0-H6 (p = 0.001) and remained higher in survivors than in non survivors over the study period of 24 hours; 17.97±15 vs. -2.04±19.84% for H0-H12 and 27.40 ± 11.41% vs. -14.83 ± 26.84% for the H0-H24 period (p < 0.001 for each studied period). There was significant difference in lactate concentration (static) between survivors and non survivors during the course of initial 24 hours. The best predictor of ICU mortality was lactate clearance for the H0-H24 period (AUC =0.89; 95% CI 0.78-1.01). Logistic regression found that H0-H24 lactate clearance was independently correlated to a survival status (p = 0.005, OR = 0.922 and 95% CI 0.871-0.976).Conclusion: Blood lactate concentration and lactate clearance are both predictive for mortality during initial 24 hours of ICU admission.


2021 ◽  
Vol 20 (Supplement_1) ◽  
Author(s):  
H Badreldin ◽  
DR Hafidh ◽  
DR Bin Saleh ◽  
DR Al Sulaiman ◽  
DR Al Juhani ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Background Patients with heart failure in the setting of COVID-19 requiring admission to the intensive care unit may present a set of unique challenges. There is limited data to describe the clinical characteristics and outcomes in this subset of the patient population. Purpose The study"s purpose was to extensively describe the characteristics and outcomes of heart failure patients admitted to the intensive care unit with COVID-19 compared to non-heart failure patients . Methods We conducted a multicenter, prospective analysis for all adult critically ill patients with heart failure admitted to intensive care units (ICUs) between March 1 to August 31, 2020, with an objectively confirmed diagnosis of COVID-19. Results A total of 723 critically ill patients with COVID-19 had been admitted in ICUs, 59 patients with heart failure, and 664 patients with no heart failure before ICU admission. Heart failure patients had significantly more comorbid conditions such as diabetes mellitus, hypertension, dyslipidemia, atrial fibrillation, and acute coronary syndrome. Higher baseline severity scores (APACHE II & SOFA score) and nutritional risk (NUTRIC Score) were observed in heart failure patients. Also, heart failure patients had more acute kidney injury during ICU admission and required more mechanical ventilation within 24 hours of ICU admission. Patients with heart failure had a similar incidence of thrombosis compared to patients with no heart failure. Critically ill patients with COVID-19 and heart failure had similar ICU length of stay (LOS), mechanical ventilation duration, and hospital LOS compared to patients with no heart failure. During ICU stay, patients with heart failure had more in-hospital and ICU deaths in comparison to the non-heart failure group (64.3% vs. 44.6%, P-value &lt;0.01) and (54.5% vs. 39%, P-value = 0.02) respectively. Conclusion In this observational study evaluating the clinical characteristics and outcomes of critically ill COVID-19 patients with heart failure, patients with COVID-19 and heart failure had similar ICU LOS, duration of MV and hospital LOS, thrombosis rate compared to patients with no heart failure. However, during ICU stay, patients with heart failure had more in-hospital and ICU deaths than the non-heart failure group.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250320
Author(s):  
Nicole Hardy ◽  
Fatima Zeba ◽  
Anaelia Ovalle ◽  
Alicia Yanac ◽  
Christelle Nzugang-Noutonsi ◽  
...  

Objective Several studies show that chronic opioid dependence leads to higher in-hospital mortality, increased risk of hospital readmissions, and worse outcomes in trauma cases. However, the association of outpatient prescription opioid use on morbidity and mortality has not been adequately evaluated in a critical care setting. The purpose of this study was to determine if there is an association between chronic opioid use and mortality after an ICU admission. Design A single-center, longitudinal retrospective cohort study of all Intensive Care Unit (ICU) patients admitted to a tertiary-care academic medical center from 2001 to 2012 using the MIMIC-III database. Setting Medical Information Mart for Intensive Care III database based in the United States. Patients Adult patients 18 years and older were included. Exclusion criteria comprised of patients who expired during their hospital stay or presented with overdose; patients with cancer, anoxic brain injury, non-prescription opioid use; or if an accurate medication reconciliation was unable to be obtained. Patients prescribed chronic opioids were compared with those who had not been prescribed opioids in the outpatient setting. Interventions None. Measurements and main results The final sample included a total of 22,385 patients, with 2,621 (11.7%) in the opioid group and 19,764 (88.3%) in the control group. After proceeding with bivariate analyses, statistically significant and clinically relevant differences were identified between opioid and non-opioid users in sex, length of hospital stay, and comorbidities. Opioid use was associated with increased mortality in both the 30-day and 1-year windows with a respective odds ratios of 1.81 (95% CI, 1.63–2.01; p<0.001) and 1.88 (95% CI, 1.77–1.99; p<0.001), respectively. Conclusions Chronic opioid usage was associated with increased hospital length of stay and increased mortality at both 30 days and 1 year after ICU admission. Knowledge of this will help providers make better choices in patient care and have a more informed risk-benefits discussion when prescribing opioids for chronic usage.


Author(s):  
Seyedeh Najmeh Hosseini ◽  
Arash Ghodousi ◽  
Narges Sadeghi ◽  
Somayeh Abbasi

Background: The experience of having neonates in the Neonatal Intensive Care Unit (NICU) is a psychological crisis. It might cause many emotional problems for parents. Entire parental support is among the duties of the healthcare team. Therefore, this study aimed to compare the nursing support received by the mothers with Newborn Abstinence Syndrome (NAS) and the mothers of other neonates admitted to the NICU. Methods: The present cross-sectional descriptive-analytic study was conducted in the selected hospitals in Kerman Province, Iran. In total, 62 mothers with NAS and 61 non-addicted mothers with neonates admitted to the NICU were selected through convenience sampling method. The inclusion criteria were neonates under the care of parents, neonate admitted to the NICU for at least 24 hours, opiate dependence in the case group mothers, and no substance dependence in the control group mothers. The amount of nursing support for mothers having neonates with NAS was compared with that of the control mothers. The study groups were homogenized in terms of the study variables (neonate age, gender, and the duration of hospitalization). The required data were collected by the Nurse-Parent Support Tool (NPST) and analyzed in SPSS. Results: The study results revealed that among the neonates of 123 mothers, 75(60.97%) were boys, and 58(39.02%) were girls. The majority of neonates in both groups were breastfed. The mean±SD age of the mothers in the case and control group were 31.93±7.25 and 28.99±4.36 years, respectively. The nursing support level was desirable in both groups, and no significant difference was found in this regard (P>0.05). Furthermore, the level of nursing support in emotional, information-communication, self-esteem, and quality caregiving support dimensions was desirable in both groups. Conclusion: The obtained results revealed that nurses’ support was desirable in both groups. The prevalence of maternal addiction and the impact of this social harm on neonates who were admitted are essential. Furthermore, families having neonates with NAS need more support from the healthcare staff and nurses, in comparison with healthy parents; thus, the importance of this issue should be addressed in training and briefing courses for nurses.


2021 ◽  
pp. 106002802110426
Author(s):  
Melissa Chudow ◽  
Vittorio Paradiso ◽  
Nicole Silva ◽  
Jillian Collette

Background: Sleep disruptions in the intensive care unit (ICU) may lead to complications such as delirium. There is limited evidence addressing how sleep aid use before and during ICU admission affects outcomes. Objective: The purpose of this study is to evaluate the impact of prior-to-admission sleep aid prescribing practices in the ICU on delirium and sleep outcomes. Methods: A retrospective review was conducted of adult patients admitted to any ICU from January to June 2018 receiving a sleep aid prior to admission. Patients were categorized based on sleep aid continuation, discontinuation, or alteration during the ICU admission. The primary end point was the incidence of delirium. Secondary end points included the incidence of sleep-wake cycle disturbances, delirium scores, and ICU length of stay. Results: A total of 291 patients were included with 109 in the continued group, 121 in the discontinued group, and 61 in the altered group. There was a similar incidence of delirium at 24 hours ( P = 0.71), 48 hours ( P = 0.60), 72 hours ( P = 0.25), and 5 days ( P = 0.48) after ICU admission. There was also no statistical difference in sleep-wake cycle disturbances or delirium scores at any time point. ICU length of stay was similar between the groups. Conclusion and Relevance: The incidence of delirium and sleep-wake cycle disturbances was not affected by differences in prior-to-admission sleep aid prescribing patterns during ICU admission.


Medicina ◽  
2021 ◽  
Vol 57 (7) ◽  
pp. 674
Author(s):  
Sjaak Pouwels ◽  
Dharmanand Ramnarain ◽  
Emily Aupers ◽  
Laura Rutjes-Weurding ◽  
Jos van Oers

Background and Objectives: The aim of this study was to investigate the association between obesity and 28-day mortality, duration of invasive mechanical ventilation and length of stay at the Intensive Care Unit (ICU) and hospital in patients admitted to the ICU for SARS-CoV-2 pneumonia. Materials and Methods: This was a retrospective observational cohort study in patients admitted to the ICU for SARS-CoV-2 pneumonia, in a single Dutch center. The association between obesity (body mass index > 30 kg/m2) and 28-day mortality, duration of invasive mechanical ventilation and length of ICU and hospital stay was investigated. Results: In 121 critically ill patients, pneumonia due to SARS-CoV-2 was confirmed by RT-PCR. Forty-eight patients had obesity (33.5%). The 28-day all-cause mortality was 28.1%. Patients with obesity had no significant difference in 28-day survival in Kaplan–Meier curves (log rank p 0.545) compared with patients without obesity. Obesity made no significant contribution in a multivariate Cox regression model for prediction of 28-day mortality (p = 0.124), but age and the Sequential Organ Failure Assessment (SOFA) score were significant independent factors (p < 0.001 and 0.002, respectively). No statistically significant correlation was observed between obesity and duration of invasive mechanical ventilation and length of ICU and hospital stay. Conclusion: One-third of the patients admitted to the ICU for SARS-CoV-2 pneumonia had obesity. The present study showed no relationship between obesity and 28-day mortality, duration of invasive mechanical ventilation, ICU and hospital length of stay. Further studies are needed to substantiate these findings.


Author(s):  
Bandya Sahoo ◽  
Reshmi Mishra ◽  
Mukesh Kumar Jain ◽  
Sibabratta Patnaik

Introduction: The global burden of paediatric mortality is high and majority of the deaths are preventable by providing timely access to specialised emergency care. An appropriate triage in a busy emergency department can identify the sickest patient for early intervention. Aim: To develop a simple score based on physical variables alone and assess its validation so as to predict Intensive Care Unit (ICU) admission. Materials and Methods: This prospective hospital based study included 936 children, aged 1 month to 18 years. Baseline demographic data along with clinical variables were noted in a pre-designed proforma at the time of admission. A scoring system was developed based on severity of various clinical variables i.e., heart rate, respiratory rate, respiratory effort, Oxygen Saturation (SpO2), Capillary Refill Time (CFT), temperature, level of consciousness and behaviour. The outcome i.e., admission to ward or Pediatric Intensive Care Unit (PICU) of the patient was correlated with the study variables and total score. An association of modified PETS with the PICU admission was done using Chi-square test. A p-value of <0.01 was considered as statistically significant. Results: The modified Paediatric Triage Score (PETS) which is developed based on eight physical variables, is reliable in discriminating the children with ward and ICU admission. A score of ≥6 leads to 14.8 times higher risk of getting admitted to ICU as compared to a child with score of <6. A cut-off of ≥6 for modified PETS score has a sensitivity of 79.6% and specificity of 79.2% in predicting ICU admission. Conclusion: This simple clinically developed scoring system based on physical variables alone with an optimal cut-off of ≥6 can predict severity of illness and need for PICU admission in Emergency Department with acceptable validity and can serve as a potentially excellent screening tool.


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