Frightening and Traumatic Memories Early after Intensive Care Discharge.
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ABSTRACT:
SUBMITTER: Train S
PROVIDER: S-EPMC6353014 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BACKGROUND:Risk factors for perinatal posttraumatic stress disorder (PTSD) among parents of an infant in the NICU have varied in previous literature. The relationships between perception of illness severity and objective measures of illness severity with PTSD are not well understood. AIMS:To determine if PTSD among parents after an infant NICU discharge can be predicted by 1) objective measures of infant illness severity or 2) perceptions of infant illness severity. STUDY DESIGN:A prospective, observational study. SUBJECTS:Parent/infant dyads who were in the NICU for ≥14 days. OUTCOME MEASURES:Objective measures of illness severity were obtained from the electronic health record. Perceptions of illness were measured by the response to the question, "How sick is your child/patient?" on a 5-point Likert scale. The Perinatal Post-Traumatic Stress Disorder Questionnaire (PPQ) was completed by parents three months after discharge. RESULTS:One hundred ninety-four dyads participated in the study, 86% of parents completed follow up screening. 25% of parents screened positive for PTSD. Parents perceived infants to be sick more often than hospital caregivers. In bivariate analysis many objective measures of illness severity were associated with PTSD. Parent perceptions of illness were also associated with PTSD after adjusting for objective measures of illness (OR 3.2, 95% CI 1.1-6.1, p = 0.008). CONCLUSIONS:PTSD in parents after NICU discharge is multifactorial. Objective illness risk factors can be used to screen parents at risk. Hospital caregivers should strive to understand parents' perception of illness and improve communication to potentially decrease PTSD after discharge.
| S-EPMC7237277 | biostudies-literature
Project description:Traumatic brain injury (TBI) is a leading neurological cause of death and disability across the world. Early characterization of TBI severity could provide a window for therapeutic intervention and contribute to improved outcome. We hypothesized that granular electronic health record data available in the first 24 h following admission to the intensive care unit (ICU) can be used to differentiate outcomes at discharge. Working from two ICU datasets we focused on patients with a primary admission diagnosis of TBI whose length of stay in ICU was ≥ 24 h (N = 1689 and 127). Features derived from clinical, laboratory, medication, and physiological time series data in the first 24 h after ICU admission were used to train elastic-net regularized Generalized Linear Models for the prediction of mortality and neurological function at ICU discharge. Model discrimination, determined by area under the receiver operating characteristic curve (AUC) analysis, was 0.903 and 0.874 for mortality and neurological function, respectively. Model performance was successfully validated in an external dataset (AUC 0.958 and 0.878 for mortality and neurological function, respectively). These results demonstrate that computational analysis of data routinely collected in the first 24 h after admission accurately and reliably predict discharge outcomes in ICU stratum TBI patients.
| S-EPMC8497604 | biostudies-literature
Project description:PurposeTo systematically review and evaluate the effectiveness of interventions in order to improve the safety and efficiency of patient handover between intensive care unit (ICU) and general ward healthcare professionals at ICU discharge.MethodsPubMed, CINAHL, PsycINFO, EMBASE, Web of Science, and the Cochrane Library were searched for intervention studies with the aim to improve clinical handover between ICU and general ward healthcare professionals that had been published up to and including June 2013. The methods for article inclusion and data analysis were pre-specified and aligned with recommendations outlined in the PRISMA guideline. Two reviewers independently extracted data (study purpose, setting, population, method of sampling, sample size, intervention characteristics, outcome, and implementation activities) and assessed the quality of the included studies.ResultsFrom the 6,591 citations initially extracted from the six databases, we included 11 studies in this review. Of these, six (55 %) reported statistically significant effects. Effective interventions included liaison nurses to improve communication and coordination of care and forms to facilitate timely, complete and accurate handover information. Effective interventions resulted in improved continuity of care (e.g., reduced discharge delay) and in reduced adverse events. Inconsistent effects were observed for use of care, namely, reduction of length of stay versus increase of readmissions to higher care. No statistically significant effects were found in the reduction of mortality. The overall methodological quality of the 11 studies reviewed was relatively low, with an average score of 4.5 out of 11 points.ConclusionsThis review shows that liaison nurses and handover forms are promising interventions to improve the quality of patient handover between the ICU and general ward. More robust evidence is needed on the effectiveness of interventions aiming to improve ICU handover and supportive implementation strategies.
| S-EPMC4392116 | biostudies-literature
Project description:Fatigue has not been investigated in long-term Intensive Care Unit (ICU) survivors. This study aimed to assess fatigue through a specific instrument, namely the Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-F) scale, in ICU survivors one year after hospital discharge. A secondary aim was to compare the findings of FACIT-F with those of the Vitality domain (VT) of the 36-item Short-Form Health Survey (SF-36).This prospective cohort study was performed on 56 adult patients with a Length Of Stay (LOS) in ICU longer than 72 h. At one year after hospital discharge, FACIT-F and SF-36 questionnaires were administered to consenting patients by direct interview. FACIT-F was measured as raw (range 0-52), and FACIT-F-trans value (range 0-100). Past medical history, and demographic and clinical ICU-related variables were collected.The patients' median age was 67.5, Simplified Acute Physiology Score II 31, and LOS in ICU 5 days. The median raw FACIT-F of the patients was 41, and Cronbach's ? was 0.937. The correlation coefficient between FACIT-F-trans and VT of SF-36 was 0.660 (p?<?0.001). Both FACIT-F and VT were related to dyspnoea scale (p?=?0.01). A Bland-Altman plot of VT vs FACIT-F-trans showed a bias of -0.8 with 95 % limits of agreement from 35.7 to -34.1. The linear regression between differences and means was 0.639, suggesting a significant proportional bias.The 13-item FACIT-F questionnaire is valid to assess fatigue of long-term ICU survivors. VT of SF-36 relates to FACIT-F, but consists of only four items assessing two positive and two negative aspects. FACIT-F grasps the negative aspects of fatigue better than VT. Specific tools assess specific conditions better that general tools.ClinicalTrials.gov: NCT02684877 .
| S-EPMC5069802 | biostudies-literature
Project description:The intensive care unit (ICU) is one of the most crucial and expensive resources in a health care system. While high fixed costs usually lead to tight capacities, shortages have severe consequences. Thus, various challenging issues exist: When should an ICU admit or reject arriving patients in general? Should ICUs always be able to admit critical patients or rather focus on high utilization? On an operational level, both admission control of arriving patients and demand-driven early discharge of currently residing patients are decision variables and should be considered simultaneously. This paper discusses the trade-off between medical and monetary goals when managing intensive care units by modeling the problem as a Markov decision process. Intuitive, myopic rule mimicking decision-making in practice is applied as a benchmark. In a numerical study based on real-world data, we demonstrate that the medical results deteriorate dramatically when focusing on monetary goals only, and vice versa. Using our model, we illustrate the trade-off along an efficiency frontier that accounts for all combinations of medical and monetary goals. Coming from a solution that optimizes monetary costs, a significant reduction of expected mortality can be achieved at little additional monetary cost.
| S-EPMC8189840 | biostudies-literature
Project description:BackgroundData on intensive care unit (ICU) related psychiatric morbidity from Low Middle-Income Countries are sparse. We studied the ICU related posttraumatic stress symptoms (PTSS), anxiety, and depression symptoms in a cohort of patients from Eastern India.MethodsWe included adults admitted more than 24 h to a mixed ICU. PTSS, anxiety, and depression symptoms were assessed by telephonic or face to face interviews by using the Impact of Events-r (IES-r) and Hospital anxiety and depression (HADS), respectively, at 0, 7,14, 30, 90 and 180 days from ICU discharge. The loss to follow up was minimal. Demographic, socioeconomic, quality of life (QOL), and critical care related variables were studied.ResultsOf 527 patients, 322 (59.4%) completed 6 months' follow up. The majority were male (60%), mechanically ventilated > 48 h (59.4%), mean age of 48 (+/- 16), mean acute physiology and chronic health evaluation II (APACHE II) at admission 9.4 (+/- 4.6), median length of stay 3 (2-28 days). The rates of ICU related clinical PTSS was < 1 and < 3% for anxiety/depression at any point of follow up. Data were analyzed by linear mixed (random effects) models. There was a significant drop in all scores and association with repeated measures over time. Poor QOL at discharge from the ICU showed significant association with PTSS, anxiety, and depression (β = - 2.94, - 1.34, - 0.7 respectively) when corrected for gender and education levels. Younger age, greater severity of illness, and prior stressful life experiences predicted worse PTSS (β = - 0.02, 0.08, 3.82, respectively). Benzodiazepines and lower sedation scores (better alertness) predicted lower depression symptoms. (β = - 0.43, 0.37 respectively).ConclusionICU related psychiatric morbidity rates in our population are low compared with reported rates in the literature. Poor QOL at ICU discharge may predict worse long-term mental health outcomes. Further research on the impact of ICU and sociocultural factors on mental health outcomes in patients from different backgrounds is needed. The study was registered at CTRI/2017/07/008959.
| S-EPMC7216410 | biostudies-literature
Project description:High-risk infants transitioning from the neonatal intensive care unit (NICU) to home represent a vulnerable population, given their complex care requirements. Little is known about errors during this period.Identify and describe homecare and healthcare utilization errors in high-risk infants following NICU discharge.This was a prospective observational cohort study of homecare (feeding, medication, and equipment) and healthcare utilization (appointment) errors in infants discharged from a regional NICU between 2011 and 2015. Chi-square test and Wilcoxon rank-sum test were used to compare infant and maternal demographics between infants with and without errors.A total of 363 errors were identified in 241 infants during 635 home visits. The median number of visits was 2. No significance was found between infant and maternal demographics in those with or without errors.High-risk infants have complex care needs and can benefit from regular follow-up services. Home visits provide an opportunity to identify, intervene, and resolve homecare and healthcare utilization errors.Further research is needed to evaluate the prevalence and cause of homecare errors in high-risk infants and how healthcare resources and infant health outcomes are affected by those errors. Preventive measures and mitigating interventions that best address homecare errors require further development and subsequent description.
| S-EPMC5533584 | biostudies-other
Project description:Traumatic brain injury (TBI) is associated with increased risk for psychological and substance use disorders. The study aim is to determine incidence and risk factors for persistent opioid prescription after hospitalization for TBI. Electronic medical records of patients age ≥ 18 admitted to a neuroscience intensive care unit between January 2013 and February 2017 for an intracranial injury were retrospectively reviewed. Primary outcome was opioid use through 12 months post-hospital discharge. A total of 298 patients with complete data were included in the analysis. The prevalence of opioid use among preadmission opioid users was 48 (87%), 36 (69%) and 22 (56%) at 1, 6 and 12-months post-discharge, respectively. In the opioid naïve group, 69 (41%), 24 (23%) and 17 (19%) were prescribed opioids at 1, 6 and 12 months, respectively. Preadmission opioid use (OR 324.8, 95% CI 23.1-16907.5, p = 0.0004) and higher opioid requirements during hospitalization (OR 4.5, 95% CI 1.8-16.3, p = 0.006) were independently associated with an increased risk of being prescribed opioids 12 months post-discharge. These factors may be used to identify and target at-risk patients for intervention.
| S-EPMC6880998 | biostudies-literature
Project description:The development of the preterm gut microbiome is important for immediate and longer-term health following birth. We aimed to determine if modifications to the preterm gut on the neonatal intensive care unit (NICU) impacted the gut microbiota and metabolome long-term. Stool samples were collected from 29 infants ages 1-3 years post discharge (PD) from a single NICU. Additional NICU samples were included from 14/29 infants. Being diagnosed with disease or receiving increased antibiotics while on the NICU did not significantly impact the microbiome PD. Significant decreases in common NICU organisms including K. oxytoca and E. faecalis and increases in common adult organisms including Akkermansia sp., Blautia sp., and Bacteroides sp. and significantly different Shannon diversity was shown between NICU and PD samples. The metabolome increased in complexity, but while PD samples had unique bacterial profiles we observed comparable metabolomic profiles. The preterm gut microbiome is able to develop complexity comparable to healthy term infants despite limited environmental exposures, high levels of antibiotic administration, and of the presence of serious disease. Further work is needed to establish the direct effect of weaning as a key event in promoting future gut health.
| S-EPMC4657104 | biostudies-literature