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1.

Purpose

Frail patients are known to experience poor outcomes. Nevertheless, we know less about how frailty manifests itself in patients’ physiology during critical illness and how it affects resource use in intensive care units (ICU). We aimed to assess the association of frailty with short-term outcomes and organ support used by critically ill patients.

Methods

Retrospective analysis of prospective collected data from 93 ICUs in Brazil from 2014 to 2015. We assessed frailty using the modified frailty index (MFI). The primary outcome was in-hospital mortality. Secondary outcomes were discharge home without need for nursing care, ICU and hospital length of stay (LOS), and utilization of ICU organ support and transfusion. We used mixed logistic regression and competing risk models accounting for relevant confounders in outcome analyses.

Results

The analysis consisted of 129,680 eligible patients. There were 40,779 (31.4%) non-frail (MFI?=?0), 64,407 (49.7%) pre-frail (MFI?=?1–2) and 24,494 (18.9%) frail (MFI?≥?3) patients. After adjusted analysis, frailty was associated with higher in-hospital mortality (OR 2.42, 95% CI 1.89–3.08), particularly in patients admitted with lower SOFA scores. Frail patients were less likely to be discharged home (OR 0.36, 95% CI 0.54–0.79) and had higher hospital and ICU LOS than non-frail patients. Use of all forms of organ support (mechanical ventilation, non-invasive ventilation, vasopressors, dialysis and transfusions) were more common in frail patients and increased as MFI increased.

Conclusions

Frailty, as assessed by MFI, was associated with several patient-centered endpoints including not only survival, but also ICU LOS and organ support.
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2.

Purpose

Very old critical ill patients are a rapid expanding group in the ICU. Indications for admission, triage criteria and level of care are frequently discussed for such patients. However, most relevant outcome studies in this group frequently find an increased mortality and a reduced quality of life in survivors. The main objective was to study the impact of frailty compared with other variables with regards to short-term outcome in the very old ICU population.

Methods

A transnational prospective cohort study from October 2016 to May 2017 with 30 days follow-up was set up by the European Society of Intensive Care Medicine. In total 311 ICUs from 21 European countries participated. The ICUs included the first consecutive 20 very old (≥ 80 years) patients admitted to the ICU within a 3-month inclusion period. Frailty, SOFA score and therapeutic procedures were registered, in addition to limitations of care. For measurement of frailty the Clinical Frailty Scale was used at ICU admission. The main outcomes were ICU and 30-day mortality and survival at 30 days.

Results

A total of 5021 patients with a median age of 84 years (IQR 81–86 years) were included in the final analysis, 2404 (47.9%) were women. Admission was classified as acute in 4215 (83.9%) of the patients. Overall ICU and 30-day mortality rates were 22.1% and 32.6%. During ICU stay 23.8% of the patients did not receive specific ICU procedures: ventilation, vasoactive drugs or renal replacement therapy. Frailty (values ≥ 5) was found in 43.1% and was independently related to 30-day survival (HR 1.54; 95% CI 1.38–1.73) for frail versus non-frail.

Conclusions

Among very old patients (≥ 80 years) admitted to the ICU, the consecutive classes in Clinical Frailty Scale were inversely associated with short-term survival. The scale had a very low number of missing data. These findings provide support to add frailty to the clinical assessment in this patient group.

Trial registration

ClinicalTrials.gov (ID: NCT03134807).
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3.

Purpose

To document and analyse the decision to withhold or withdraw life-sustaining treatment (LST) in a population of very old patients admitted to the ICU.

Methods

This prospective study included intensive care patients aged?≥?80 years in 309 ICUs from 21 European countries with 30-day mortality follow-up.

Results

LST limitation was identified in 1356/5021 (27.2%) of patients: 15% had a withholding decision and 12.2% a withdrawal decision (including those with a previous withholding decision). Patients with LST limitation were older, more frail, more severely ill and less frequently electively admitted. Patients with withdrawal of LST were more frequently male and had a longer ICU length of stay. The ICU and 30-day mortality were, respectively, 29.1 and 53.1% in the withholding group and 82.2% and 93.1% in the withdrawal group. LST was less frequently limited in eastern and southern European countries than in northern Europe. The patient-independent factors associated with LST limitation were: acute ICU admission (OR 5.77, 95% CI 4.32–7.7), Clinical Frailty Scale (CFS) score (OR 2.08, 95% CI 1.78–2.42), increased age (each 5 years of increase in age had a OR of 1.22 (95% CI 1.12–1.34) and SOFA score [OR of 1.07 (95% CI 1.05–1.09 per point)]. The frequency of LST limitation was higher in countries with high GDP and was lower in religious countries.

Conclusions

The most important patient variables associated with the instigation of LST limitation were acute admission, frailty, age, admission SOFA score and country.

Trial registration

ClinicalTrials.gov (ID: NTC03134807).
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4.

Purpose

Intensive care unit (ICU) admission of allogeneic hematopoietic stem cell transplant (HSCT) recipients is associated with relatively poor outcome. Since longitudinal data on this topic remains scarce, we analyzed reasons for ICU admission as well as short- and long-term outcome of critically ill HSCT recipients.

Methods

A total of 942 consecutive adult patients were transplanted at Hannover Medical School from 2000 to 2013. Of those, 330 patients were at least admitted once to the ICU and included in this retrospective study. To analyze time-dependent improvements, we separately compared patient characteristics as well as reasons and outcome of ICU admission for the periods 2000–2006 and 2007–2013.

Results

The main reasons for ICU admission were acute respiratory failure (ARF) in 35%, severe sepsis/septic shock in 23%, and cardiac problems in 18%. ICU admission was clearly associated with shortened survival (p?<?0.001), but survival of ICU patients after hospital discharge reached 44% up to 5 years and was comparable to that of non-ICU HSCT patients. When ICU admission periods were compared, patients were older (48 vs. 52 years; p?<?0.005) and the percentage of ARF as leading cause for ICU admission decreased from 43% in the first to 30% in the second period. Over time ICU and hospital survival improved from 44 to 60% (p?<?0.01) and from 26 to 43% (p?<?0.01), respectively. The 1- and 3-year survival rate after ICU admission increased significantly from 14 to 32% and from 11 to 23% (p?<?0.01).

Conclusions

Besides ARF and septic shock, cardiac events were especially a major reason for ICU admission. Both short- and long-term survival of critically ill HSCT patients has improved significantly in recent years, and survival of HSCT recipients discharged from hospital is not significantly affected by a former ICU stay.
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5.

Purpose

Early diagnosis of acute kidney injury (AKI) remains a major challenge. We developed and validated AKI prediction models in adult ICU patients and made these models available via an online prognostic calculator. We compared predictive performance against serum neutrophil gelatinase-associated lipocalin (NGAL) levels at ICU admission.

Methods

Analysis of the large multicenter EPaNIC database. Model development (n = 2123) and validation (n = 2367) were based on clinical information available (1) before and (2) upon ICU admission, (3) after 1 day in ICU and (4) including additional monitoring data from the first 24 h. The primary outcome was a comparison of the predictive performance between models and NGAL for the development of any AKI (AKI-123) and AKI stages 2 or 3 (AKI-23) during the first week of ICU stay.

Results

Validation cohort prevalence was 29% for AKI-123 and 15% for AKI-23. The AKI-123 model before ICU admission included age, baseline serum creatinine, diabetes and type of admission (medical/surgical, emergency/planned) and had an AUC of 0.75 (95% CI 0.75–0.75). The AKI-23 model additionally included height and weight (AUC 0.77 (95% CI 0.77–0.77)). Performance consistently improved with progressive data availability to AUCs of 0.82 (95% CI 0.82–0.82) for AKI-123 and 0.84 (95% CI 0.83–0.84) for AKI-23 after 24 h. NGAL was less discriminant with AUCs of 0.74 (95% CI 0.74–0.74) for AKI-123 and 0.79 (95% CI 0.79–0.79) for AKI-23.

Conclusions

AKI can be predicted early with models that only use routinely collected clinical information and outperform NGAL measured at ICU admission. The AKI-123 models are available at http://akipredictor.com/. Trial registration Clinical Trials.gov NCT00512122
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6.

Introduction

We investigated whether the concomitant use of diuretics, non-steroidal anti-inflammatory drugs, and angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (triple whammy, TW) predicts in-hospital acute kidney injury (AKI) and whether admission during recorded periods of extreme heat influences this association.

Methods

We retrospectively collected data on patient characteristics and use of TW/non-TW drugs on admission, AKI (increase in serum creatinine ≥ 27 µmol/l either within the first 48 h of admission or throughout hospitalization, primary outcome), length of stay (LOS), and mortality (secondary outcomes) in medical patients ≥65 years admitted (1) during five consecutive heat waves (HWs) between 2007 and 2009 (n = 382) or (2) either before or after each HW, matched for HW period, age, and admission day of the week (non-HW, controls, n = 1339).

Results

Number of TW and non-TW drugs, co-morbidities, number of daily admissions, incidence of in-hospital AKI, LOS, and mortality were similar in the HW and non-HW groups. After adjusting for clinical and demographic confounders, logistic regression showed that TW use did not predict AKI within 48 h of admission either during non-HW periods (OR 0.79, 95% CI 0.34–1.83, P = 0.58) or during HWs (OR 1.02, 95% CI 0.21–2.97, P = 0.97). Similar results were observed when AKI was captured throughout hospitalization. TW use did not predict LOS or mortality irrespective of environmental temperature on admission.

Conclusions

TW use on admission did not predict in-hospital AKI, LOS, or mortality in older medical patients admitted either during periods of normal environmental temperature or during HWs.
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7.

Objective

The aim of the present study was (1) to determine the prevalence of intensive care unit (ICU) admissions due to an adverse drug reaction (ADR), and (2) to compare affected patients with patients admitted to the ICU for the treatment of deliberate self-poisoning using medical drugs.

Design

Prospective observational cohort study.

Setting

Fourteen bed medical ICU including an integrated intermediate care (IMC) section at a tertiary referral center.

Patients

A total of 1,554 patients admitted on 1 January 2003 to 31 December 2003.

Results

Ninety-nine patients were admitted to the ICU with a diagnosis of ADR (6.4% of all admissions), 269 admissions (17.3%) were caused by deliberate self-poisoning. Patients admitted for treatment of ADR had a significantly higher age, a longer treatment duration in the ICU, a higher SAPS II score, and a higher 6-month mortality than those with deliberate self-poisoning. Most patients (71.7%) suffering from ADR required advanced supportive care in the ICU while the majority of patients (90.7%) with deliberate self-poisoning could be sufficiently treated in the IMC area. All diagnostic and therapeutic procedures in the ICU except mechanical ventilation were significantly more often performed in patients with ADR.

Conclusions

This study provides further evidence that ADR is a frequent cause of admission to medical ICUs resulting in a considerable use of ICU capacities. In the present setting patients with ADR required longer and more intense medical treatment in the ICU than those with deliberate self-poisoning.
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8.

Purpose

Patients are sometimes admitted to intensive care units (ICU) after elective noncardiac surgery for advanced monitoring and treatments not available on a general postsurgical ward. However, patterns of ICU utilization are poorly understood. Our aims were to assess the incidence and determinants of ICU utilization after elective noncardiac surgical procedures.

Methods

Population-based cohort study included adult patients who underwent 13 types of major elective noncardiac surgical procedures between 2006 and 2014 in Ontario, Canada. Primary outcome was early admission to ICU within 24 h after surgery. A prespecified analysis using multilevel logistic regression modeling separately examined patient- and hospital-level factors associated with early ICU admission within distinct groups of surgical procedures.

Results

Early ICU admission occurred in 9.6% of the included 541,524 patients. Patients admitted early to ICU showed higher median age (68 vs. 65 years), burden of prehospital comorbidities (Charlson comorbidity index score?≥?2, 33.1 vs. 10.4%), 30-day mortality rates (2.4 vs. 0.3%), and longer median postoperative hospital stays (6 vs. 4 days) than patients admitted to a ward. There was wide variation in proportions of patients admitted early to ICU across different surgery types (0.9% for hysterectomy to 90.8% for open abdominal aortic aneurysm repair) with generally low 30-day mortality across procedures (0.1–2.8%). Within individual procedures, there was wide interhospital variation in the range of early ICU admission rates (hysterectomy 0.07–14.4%, lower gastrointestinal resection 1.3–95%, endovascular aortic aneurysm 1.3–95.2%). The individual hospital where surgery was performed accounted for a large proportion of the variation in early ICU admission rates, with the median odds ratio ranging from 2.3 for hysterectomy to 21.5 for endovascular aortic aneurysm.

Conclusions

There is a wide variation in early ICU admission across and within surgical procedures. The individual hospital accounts for a large proportion of this variation. Further research is required to identify the basis for this variation and to develop better methods for allocating ICU resources for postoperative management of surgical patients.
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9.

Introduction

The long-term outcome of “very old intensive care unit patients” (VOPs; ≥?80 years) is often disappointing. Little is known about the healthcare costs of these VOPs in comparison to younger ICU patients and the very elderly in the general population not admitted to the ICU.

Methods

Data from a national health insurance claims database and a national quality registry for ICUs were combined. Costs of VOPs admitted to the ICU in 2013 were compared with costs of younger ICU patients (two groups, respectively 18–65 and 65–80 years old) and a matched control group of very elderly subjects who were not admitted to the ICU. We compared median costs and median costs per day alive in the year before ICU admission (2012), the year of ICU admission (2013) and the year after ICU admission (2014).

Results

A total of 9272 VOPs were included and compared to three equally sized study groups. Median costs for VOPs in 2012, 2013 and 2014 (€5944, €35,653 and €12,565) are higher compared to the ICU 18–65 population (€3022, €30,223 and €5052, all p?<?0.001) and the very elderly control population (€3590, €4238 and €4723, all p?<?0.001). Compared to the ICU 65–80 population, costs of VOPs are higher in the year before and after ICU admission (€4323 and €6750, both p?<?0.001), but not in the year of ICU admission (€34,448, p?=?0.950). The median healthcare costs per day alive in the year before, the year of and the year after ICU admission are all higher for VOPs than for the other groups (p?<?0.001).

Conclusions

VOPs required more healthcare resources in the year before, the year of and the year after ICU admission compared to younger ICU patients and the very elderly control population, except compared to the ICU 65–80 population in the year of ICU admission. Healthcare costs per day alive, however, are substantially higher for VOPs than for all other study groups in all three studied years.
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10.

Introduction

Chronic obstructive pulmonary disease (COPD) is a common cause of admission to intensive care units (ICUs) in the UK. This report describes the case mix and outcomes of these patients and explores associations of measures of case mix available in the first 24 hours with outcome.

Method

We conducted a secondary analysis of a high quality clinical database, the ICNARC Case Mix Programme Database, of 129,647 admissions to 128 adult, general critical care units across England, Wales and Northern Ireland for the period from 1995 to 2001.

Results

Nonsurgical admissions with COPD accounted for 3752 admissions (2.9% of all admissions). Patients were acidotic (median pH 7.26, interquartile range [IQR] 7.18–7.33), hypercapnic (median arterial CO2 tension 8.7, IQR 6.9–10.7) and hypoxic (median arterial O2 tension/fractional inspired oxygen gradient 22.9, IQR 17.2–29.6). Overall, 2775 (73.9%) were definitely intubated and 278 (7.4%) were probably intubated in the first 24 hours in the ICU. The median (IQR) ICU length of stay was 4.0 (1.6–9.4) days and the hospital length of stay was 16 (9–29) days. a total of 827 patients (23.1%) died in the admitting ICU and 1322 (38.3%) died during hospital admission. Age, presence of severe respiratory disease, length of stay in hospital before critical care admission, cardiopulmonary resuscitation within 24 hours before admission, intubation status in first 24 hours in critical care, pH, arterial oxygen tension/fractional inspired oxygen gradient, albumin, cardiovascular organ failure, neurological organ failure and renal organ failure all had independent associations with hospital mortality. Respiratory organ failure had a significant independent association with decreased hospital mortality.

Conclusion

Nonsurgical patients with COPD represent an important group of patients admitted to UK ICUs. The presence of single organ respiratory failure in the first 24 hours in critical care identifies patients with a 70% chance of surviving to leave hospital.
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11.

Introduction

This report describes the case mix, outcome and activity (duration of intensive care unit [ICU] and hospital stay, inter-hospital transfer, and readmissions to the ICU) for admissions to ICUs for acute severe asthma, and investigates the effect of case mix factors on outcome.

Methods

We conducted a secondary analysis of data from a high-quality clinical database (the Intensive Care National Audit and Research Centre [ICNARC] Case Mix Programme Database) of 129,647 admissions to 128 adult, general critical care units across England, Wales and Northern Ireland over the period 1995–2001.

Results

Asthma accounted for 2152 (1.7%) admissions, and in 57% mechanical ventilation was employed during the first 24 hours in the ICU. A total of 147 (7.1%) patients died in intensive care and 199 (9.8%) died before discharge from hospital. The mean age was 43.6 years, and the ratio of women to men was 2:1. Median length of stay was 1.5 days in the ICU and 8 days in hospital. Older age, female sex, having received cardiopulmonary resuscitation (CPR) within 24 hours before admission, having suffered a neurological insult during the first 24 hours in the ICU, higher heart rate, and hypercapnia were associated with greater risk for in-hospital death after adjusting for Acute Physiology and Chronic Health Evaluation II score. CPR before admission, neurological insult, hypoxaemia and hypercapnia were associated with receipt of mechanical ventilation after adjusting for Acute Physiology and Chronic Health Evaluation II score.

Conclusion

ICU admission for asthma is relatively uncommon but remains associated with appreciable in-hospital mortality. The greatest determinant of poor hospital survival in asthma patients was receipt of CPR within 24 hours before admission to ICU. Clinical management of these patients should be directed at preventing cardiac arrest before admission.
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12.
13.

Purpose

Intensive care unit (ICU)-acquired infections (IAI) result in increased hospital and ICU stay, costs and mortality. To date, no biomarker has shown sufficient evidence and ease of application in clinical routine for the identification of patients at risk of IAI. We evaluated the association of the systemic mRNA expression of two host response biomarkers, CD74 and IL10, with IAI occurrence in a large cohort of ICU patients.

Methods

ICU patients were prospectively enrolled in a multicenter cohort study. Whole blood was collected on the day of admission (D1) and on day 3 (D3) and day 6 (D6) after admission. Patients were screened daily for IAI occurrence and data were censored after IAI diagnosis. mRNA expression levels of biomarkers were measured using RT-qPCR. Fine and Gray competing risk models were used to assess the association between gene expression and IAI occurrence.

Results

A total of 725 patients were analyzed. At least one IAI episode occurred in 137 patients (19%). After adjustment for shock and sepsis status at admission, CD74 and IL10 levels were found to be significantly associated with IAI occurrence [subdistribution hazard ratio (95% confidence interval) 0.67 (0.46–0.97) for CD74 D3/D1 expression ratio and 2.21 (1.63–3.00) for IL10 at D3]. IAI cumulative incidence was significantly different between groups stratified according to CD74 or IL10 expression (Gray tests p < 0.001).

Conclusion

Our results suggest that two immune biomarkers, CD74 and IL10, could be relevant tools for the identification of IAI risk in ICU patients.
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14.

Purpose

We assessed the prevalence and variables associated with haloperidol use for delirium in ICU patients and explored any associations of haloperidol use with 90-day mortality.

Methods

All acutely admitted, adult ICU patients were screened during a 2-week inception period. We followed the patient throughout their ICU stay and assessed 90-day mortality. We assessed patients and their variables in the first 24 and 72 h in ICU and studied their association together with that of ICU characteristics with haloperidol use.

Results

We included 1260 patients from 99 ICUs in 13 countries. Delirium occurred in 314/1260 patients [25% (95% confidence interval 23–27)] of whom 145 received haloperidol [46% (41–52)]. Other interventions for delirium were benzodiazepines in 36% (31–42), dexmedetomidine in 21% (17–26), quetiapine in 19% (14–23) and olanzapine in 9% (6–12) of the patients with delirium. In the first 24 h in the ICU, all subtypes of delirium [hyperactive, adjusted odds ratio (aOR) 29.7 (12.9–74.5); mixed 10.0 (5.0–20.2); hypoactive 3.0 (1.2–6.7)] and circulatory support 2.7 (1.7–4.3) were associated with haloperidol use. At 72 h after ICU admission, circulatory support remained associated with subsequent use of haloperidol, aOR 2.6 (1.1–6.9). Haloperidol use within 0–24 h and within 0–72 h of ICU admission was not associated with 90-day mortality [aOR 1.2 (0.5–2.5); p?=?0.66] and [aOR 1.9 (1.0–3.9); p?=?0.07], respectively.

Conclusions

In our study, haloperidol was the main pharmacological agent used for delirium in adult patients regardless of delirium subtype. Benzodiazepines, other anti-psychotics and dexmedetomidine were other frequently used agents. Haloperidol use was not statistically significantly associated with increased 90-day mortality.
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15.

Purpose

We assessed the association between the premorbid functional status (PFS) and 1-year mortality and functional status of very old intensive care patients.

Methods

Using a nationwide quality registry, we retrieved data on patients treated in Finnish intensive care units (ICUs) during the period May 2012?April 2013. Of 16,389 patients, 1827 (11.1%) were very old (aged 80 years or older). We defined a person with good functional status as someone independent in activities of daily living (ADL) and able to climb stairs without assistance; a person with poor functional status was defined as needing assistance for ADL or being unable to climb stairs. We adjusted for severity of illness and calculated the impact of PFS.

Results

Overall, hospital mortality was 21.3% and 1-year mortality was 38.2%. For emergency patients (73.5% of all), hospital mortality was 28% and 1-year mortality was 48%. The functional status at 1 year was comparable to the PFS in 78% of the survivors. PFS was poor for 43.3% of the patients. A poor PFS predicted an increased risk of in-hospital death, adjusted odds ratio (OR) 1.50 (95% confidence interval, 1.07–2.10), and of 1-year mortality, OR 2.18 (1.67–2.85). PFS data significantly improved the prediction of 1-year mortality.

Conclusions

Of very old ICU patients, 62% were alive 1 year after ICU admission and 78% of the survivors had a functional status comparable to the premorbid situation. A poor PFS doubled the odds of death within a year. Knowledge of PFS improved the prediction of 1-year mortality.
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16.

Purpose

Hospital funding for the intensive care unit (ICU) stays in France is made of reimbursement of a fixed amount based on the diagnosis-related group (DRG) of the patients and of extra funding for each day spent in the ICU. These tariffs are updated annually. We measured the impact of these updates on the theoretical income of our ICU.

Patients and Methods

DRG and length of stay of the patients hospitalized during 2011 in a 12-bed ICU were extracted. We computed the theoretical reimbursement for these patients with the tariffs from 2011 to 2016.

Results

592 ICU stays, classified in 237 DRGs, were analyzed. The theoretical income decreased from € 8,416,260.14 in 2011 to € 7,809,709.15 in 2016 (–7.21%). This reduction was explained by lower tariffs for the different DRGs (mean evolution–4.6%) and a diminution of the extra funding (–1.6%).

Conclusion

These results are based on a small number of ICU stays but are significant because of the high number of DRGs analyzed.This simulation gives an estimate of the economic impact on the French ICUs for the update of the reimbursement rates during the last six years. Productivity gains are necessary to face the tariff evolution and should preferably be obtained by the reduction of the costs.
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17.

Objective

To determine the incidence and outcome of severe sepsis in the adult Finnish population and to evaluate how treatment guidelines in severe sepsis are applied in clinical practice.

Study design

A prospective study in 24 closed multidisciplinary ICUs in 21 hospitals (4 university and 17 tertiary hospitals) in Finland.

Patients

All 4,500 consecutive ICU admission episodes were screened for severe sepsis during a 4-month period (1 November 2004 – 28 February 2005). The referral population was 3,743,225.

Results

The severe sepsis criteria were fulfilled in 470 patients, who had472 septic episodes. The incidence of severe sepsis in the ICUs in Finland was 0.38/1000 in the adult population (95% confidence interval 0.34–0.41). The mean ICU length of stay was 8.2?±?8.1?days. ICU, hospital, and 1-year mortality rates were 15.5%, 28.3%, and 40.9%, respectively. Respiratory failure requiring ventilation support was the most common organ failure (86.2%); septic shock was present in 77% and acute renal failure in 20.6% of cases. Activated protein C was given to only 15 of the 55 patients with indication (27%) and low-dose corticosteroids to 150 of 366 (41%) patients with septic shock.

Conclusions

This prospective study found the incidence of ICU-treated severe sepsis in Finland to be 0.38 per 1,000 of the population. The ICU and hospital mortalities were also lower than earlier reported in United States or Australia. Evidence-based sepsis therapies were not used as often as recommended.
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18.

Background

Studies point to the lack of psychosocial support and rehabilitation services that are adjusted to the work-aged stroke survivors’ specific needs in order to promote psychosocial well-being. The aim of the study was to illuminate the psychosocial challenges work-aged participants (i.e. aged 18–67 years) thematised during and after participating a dialogue-based psychosocial intervention during the first year following a stroke.

Methods

The study was a feasibility study guided by the UK Medical Research Council Framework for developing and evaluating complex interventions. Qualitative data from in-depth interviews with fourteen stroke-survivors aged 33–66 years, researcher field notes and log notes written during the intervention were analysed applying a hermeneutic-phenomenological approach.

Results

The stroke and its consequences had a substantial impact on family and work life. Their experiences were summarised in the two themes The threat of becoming marginalised in family life and The threat of becoming marginalised in work life.

Conclusion

Life as a work-aged stroke survivor was experienced as challenging and created a threat of becoming marginalised in family and work life. The study highlights the need to understand the specific psychosocial challenges and needs facing work-aged stroke survivors’ in order to promote their psychosocial well-being. More research is needed concerning specific life-span challenges amongst work-aged stroke survivors in order to further develop appropriate interventions that helps address this issue.
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19.

Purpose

To summarize evidence on long-term health-related quality-of-life (HRQL) among survivors of acute kidney injury (AKI) in the intensive care unit (ICU).

Methods

We performed a comprehensive search of the literature for studies reporting original data describing HRQL utilizing validated instruments. Search, study selection and data abstraction were performed in duplicate. Study quality was appraised. Due to study heterogeneity, data are primarily summarized qualitatively.

Results

Our search yielded 2193 articles of which 18 were selected for detailed analysis. The quality of these 18 studies was generally good. Numerous HRQL instruments were utilized, and assessment occurred at variable follow-up duration (range 2 months to 14.5 years). HRQL among AKI survivors was reduced when compared to age/sex-matched populations. HRQL among survivors with and without AKI was generally described as similar beyond 6 months. Physical component domains were consistently more impaired than mental component domains. Survivors had considerable limitations in activities of daily living, implying newly acquired disability, with few returning to work. Despite diminished HRQL, patients’ HRQL was generally perceived as satisfactory, and the majority would receive similar treatment again, including renal replacement therapy in the ICU, if necessary.

Conclusions

Among survivors of critical illness complicated by AKI, HRQL was impaired when referenced to population norms, but it was not significantly different from that of survivors without AKI. Physical limitations and disabilities were more commonly exhibited by AKI patients. Importantly, the impaired HRQL was generally perceived as acceptable to patients, most of whom expressed willingness to undergo similar treatment in the future.
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20.

Purpose

Loss of colonization resistance within the gastrointestinal microbiome facilitates the expansion of pathogens and has been associated with death and infection in select populations. We tested whether gut microbiome features at the time of intensive care unit (ICU) admission predict death or infection.

Methods

This was a prospective cohort study of medical ICU adults. Rectal surveillance swabs were performed at admission, selectively cultured for vancomycin-resistant Enterococcus (VRE), and assessed using 16S rRNA gene sequencing. Patients were followed for 30 days for death or culture-proven bacterial infection.

Results

Of 301 patients, 123 (41%) developed culture-proven infections and 76 (25%) died. Fecal biodiversity (Shannon index) did not differ based on death or infection (p?=?0.49). The presence of specific pathogens at ICU admission was associated with subsequent infection with the same organism for Escherichia coli, Pseudomonas spp., Klebsiella spp., and Clostridium difficile, and VRE at admission was associated with subsequent Enterococcus infection. In a multivariable model adjusting for severity of illness, VRE colonization and Enterococcus domination (≥?30% 16S reads) were both associated with death or all-cause infection (aHR 1.46, 95% CI 1.06–2.00 and aHR 1.47, 95% CI 1.00–2.19, respectively); among patients without VRE colonization, Enterococcus domination was associated with excess risk of death or infection (aHR 2.13, 95% CI 1.06–4.29).

Conclusions

Enterococcus status at ICU admission was associated with risk for death or all-cause infection, and rectal carriage of common ICU pathogens predicted specific infections. The gastrointestinal microbiome may have a role in risk stratification and early diagnosis of ICU infections.
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