Characteristics and outcomes of elderly patients refused to ICU

Mortality of elderly patients with acute kidney injury undergoing continuous renal replacement therapy: is age a risk factor?

BACKGROUND

Whether advanced age is associated with poor outcomes of elderly patients with acute kidney injury (AKI) requiring continuous renal replacement therapy (CRRT) is controversial. This study aimed to evaluate age effect and predictors for mortality in elderly AKI patients undergoing CRRT.

METHODS

Data of 480 elderly AKI patients who underwent CRRT were retrospectively analyzed. Subjects were stratified into two groups according to age: younger-old (age, 65-74 years; n = 205) and older-old (age, ≥75 years; n = 275). Predictors for 28-day and 90-day mortality and age effects were analyzed using multivariable Cox regression analysis and propensity score matching.

RESULTS

Urine output at the start of CRRT (adjusted hazard ratio [aHR], 0.99; 95% confidence interval [CI], 0.99-1.00; p = 0.04), operation (aHR, 0.53; 95% CI, 0.30-0.93; p = 0.03), and use of an intra-aortic balloon pump (aHR, 3.60; 95% CI, 1.18-10.96; p = 0.02) were predictors for 28-day mortality. Ischemic heart disease (aHR, 1.74; 95% CI, 1.02-2.98; p = 0.04) and use of a ventilator (aHR, 0.56; 95% CI, 0.36-0.89; p = 0.01) were predictors for 90-day mortality. The older-old group did not exhibit a higher risk for 28- day or 90-day mortality than the younger-old group in multivariable or propensity score-matched models.

CONCLUSION

Advanced age was not a risk factor for mortality among elderly AKI patients undergoing CRRT, suggesting that advanced age should not be considered for therapeutic decisions in critically ill elderly patients with AKI requiring CRRT.

Critically ill patients with high predicted mortality: Incidence and outcome

OBJECTIVE

As calculated by the severity scores, an unknown number of patients are admitted to the Intensive Care Unit (ICU) with a very high risk of death. Clinical studies have poorly addressed this population, and their prognosis is largely unknown.

DESIGN

Post hoc analysis of a multicenter, cohort, longitudinal, observational, retrospective study (CIMbA).

SETTING

Sixteen Portuguese multipurpose ICUs.

PATIENTS

Patients with a Simplified Acute Physiology Score II (SAPS II) predicted hospital mortality above 80% on admission to the ICU (high-risk group); A comparison with the remaining patients was obtained.

INTERVENTIONS

None.

MAIN VARIABLES OF INTEREST

Hospital, 30 days, 1 year mortality.

RESULTS

We identified 4546 patients (59.9% male), 12.2% of the whole population. Their SAPS II predicted hospital mortality was 89.0±5.8%, whilst the observed mortality was lower, 61.0%. This group had higher mortality, both during the first 30 days (aHR 3.52 [95% CI 3.34-3.71]) and from day 31 to day 365 after ICU admission (aHR 1.14 [95%CI 1.04-1.26]), respectively. However, their hospital standardized mortality ratio was similar to the other patients (0.69 vs. 0.69, P=.92). At one year of follow-up, 30% of patients in the high-risk group were alive.

CONCLUSIONS

Roughly 12% of patients admitted to the ICU for more than 24h had a SAPS II score predicted mortality above 80%. Their hospital standardized mortality was similar to the less severe population and 30% were alive after one year of follow-up.

Triage of Critically Ill Patients: Characteristics and Outcomes of Patients Refused as Too Well for Intensive Care

BACKGROUND

The appropriate selection of patients for the intensive care unit (ICU) is a concern in acute care settings. However, the description of patients deemed too well for the ICU has been rarely reported.

METHODS

We conducted a single-centre retrospective observational study of all patients either deemed "too well" for or admitted to the ICU during one year. Refused patients were screened for unexpected events within 7 days, defined as either ICU admission without another indication, or death without treatment limitations. Patients' characteristics and organisational factors were analysed according to refusal status, outcome and delay in ICU admission.

RESULTS

Among 2219 enrolled patients, the refusal rate was 10.4%. Refusal was associated with diagnostic groups, treatment limitations, patients' location on a ward, night time and ICU occupancy. Unexpected events occurred in 16 (6.9%) refused patients. A worse outcome was associated with time spent in hospital before refusal, patients' location on a ward, SOFA score and physician's expertise. Delayed ICU admissions were associated with ICU and hospital length of stay.

CONCLUSIONS

ICU triage selected safely most patients who would have probably not benefited from the ICU. We identified individual and organisational factors associated with ICU refusal, subsequent ICU admission or death.

Factors that influence intensive care admission decisions for older people: A systematic review

BACKGROUND

The population worldwide is rapidly ageing, and demand for intensive care is increasing. People aged 85 years and above, known as the oldest old, are particularly vulnerable to critical illness owing to the physiological effects of ageing. Evidence surrounding admission of the oldest old to the intensive care is limited.

OBJECTIVE

The objective of this study was to systematically and comprehensively review and synthesise the published research investigating factors that influence decisions to admit the oldest old to the intensive care unit.

METHOD

This was a systematic review and narrative synthesis. Following a comprehensive search of CINAHL, Embase, and Medline databases, peer-reviewed primary research articles examining factors associated with admission or refusal to admit the oldest old to intensive care were selected. Data were extracted into tables and narratively synthesised.

RESULTS

Six studies met the inclusion criteria. Three studies identified factors associated with admission such as greater premorbid self-sufficiency, patient preferences, alignment between patient and physicians' goals of treatment, age less than 85 years, and absence of cancer, or previous intensive care admission. Factors associated with refusal to admit were identified in all six studies and included limited or no bed availability, level of ICU physician experience, patients being deemed too ill or too well to benefit, and older age.

CONCLUSIONS

Published research investigating decision-making about admission or refusal to admit the oldest old to the intensive care unit is scant. The ageing population and increasing demand for intensive care unit resources has amplified the need for greater understanding of factors that influence decisions to admit or refuse admission of the oldest old to the intensive care unit. Such knowledge may inform guidelines regarding complex practice decisions about admission of the oldest old to an intensive care unit. Such guidelines would ensure the specialty needs of this population are considered and would reduce admission decisions that might disadvantage older people.

Characteristics and outcomes of mechanically ventilated elderly patients in the absence of an end-of-life care policy: a retrospective study from Bahrain

BACKGROUND

Globally, the percentage of elderly patients has been increasing, leading to a higher demand for healthcare resources and intensive care. Bahrain has a majority Muslim population and Islam governs most policies, including end-of-life care. All patients at our institute receive full resuscitative measures regardless of the prognosis, leading to a high number of mechanically ventilated patients.

OBJECTIVES

Assess characteristics, outcomes, theoretical costs, and use of antibiotics in critically ill elderly patients requiring mechanical ventilation.

DESIGN

Retrospective.

SETTING

Intensive care unit and general ward of a tertiary medical care center.

PATIENTS AND METHODS

We studied all elderly patients (≥60 years old) admitted under general medicine in the period of January to June 2018 who needed intensive care and were intubated.

MAIN OUTCOME MEASURES

The duration of mechanical ventilation, theoretical costs, antibiotic usage.

SAMPLE SIZE

140 patients.

RESULTS

Of 140 patients, 136 died (97%) and half of the deaths (n=69, 50.7%) occurred within the first 24 hours of intubation. Sixty-nine (79.3%) of the patients on short-term ventilation (≤96 hours) died within 24 hours of intubation, while the four survivors were on long-term ventilation (>96 hours) (P<.001). All the nonsurviving patients (n=136) were on antimicrobial therapy, mostly for hospital-acquired infections. The median (interquartile range) APACHE II score was relatively high at 28.0 (8.0) with significantly higher scores in the early mortality group compared to the late mortality group (30 [10] vs 26 [7], P=.013) and higher scores in the short-term vs long-term ventilation group (29 [10] vs 26 [7], P=.029). The median theoretical cost per patient in the early and late mortality groups was USD 10 731 and USD 30 660, respectively (P<.001).

CONCLUSIONS

Given that less than 3% of patients had a favorable outcome, 50% of the cases died within 24 hours after intubation, hospital costs and antimicrobial use were high, the current policy of "full resuscitative measures for all" should be revised. We suggest implementing an end-of-life care policy, since the goal of resuscitation is to reverse premature death, not prolong the dying process.

LIMITATIONS

Small sample size and absence of long-term follow-up. Theoretical costs were used as no direct calculated costs were available in our hospital.

CONFLICT OF INTEREST

None.

UK consultants' experiences of the decision-making process around referral to intensive care: an interview study

OBJECTIVE

The decision whether to initiate intensive care for the critically ill patient involves ethical questions regarding what is good and right for the patient. It is not clear how referring doctors negotiate these issues in practice. The aim of this study was to describe and understand consultants' experiences of the decision-making process around referral to intensive care.

DESIGN

Qualitative interviews were analysed according to a phenomenological hermeneutical method.

SETTING AND PARTICIPANTS

Consultant doctors (n=27) from departments regularly referring patients to intensive care in six UK hospitals.

RESULTS

In the precarious and uncertain situation of critical illness, trust in the decision-making process is needed and can be enhanced through the way in which the process unfolds. When there are no obvious right or wrong answers as to what ought to be done, how the decision is made and how the process unfolds is morally important. Through acknowledging the burdensome doubts in the process, contributing to an emerging, joint understanding of the patient's situation, and responding to mutual moral duties of the doctors involved, trust in the decision-making process can be enhanced and a shared moral responsibility between the stake holding doctors can be assumed.

CONCLUSION

The findings highlight the importance of trust in the decision-making process and how the relationships between the stakeholding doctors are crucial to support their moral responsibility for the patient. Poor interpersonal relationships can damage trust and negatively impact decisions made on behalf of a critically ill patient. For this reason, active attempts must be made to foster good relationships between doctors. This is not only important to create a positive working environment, but a mechanism to improve patient outcomes.

Survival predictors after intubation in medical wards: A prospective study in 151 patients

INTRODUCTION

In health care systems in need of additional intensive care unit (ICU) beds, the decision to mechanically ventilate critically ill patients in Internal Medicine (IM) Department wards needs to balance patients' health outcomes, possible futility, and logistics. We aimed to examine the survival rates and predictors in these patients.

METHODS

We prospectively enrolled consecutive patients receiving mechanical ventilation during their care in the IM wards of a tertiary University hospital between April 2016 and December 2018. Primary outcome was 90-day mortality and secondary outcomes were in-hospital mortality and ICU transfer.

RESULTS

Our cohort consisted of 151 unique patient intubations, of whom 74 (49%) patients were transferred to ICU within a median of 0 days (range 0-7). Compared to patients who remained in the wards, patients transferred to ICU had lower in-hospital and 90-day mortality (65% vs. 97%, and 70% vs. 99%, respectively, p<0.001 for both). Amongst several possible predictors of survival in the ICU, sequential organ failure assessment (SOFA) score at the time of intubation had the best prognostic accuracy with an AUROC of 0.818 and 0.855 for in-hospital and 90-day mortality, respectively. A baseline SOFA score ≤8 had a 100% sensitivity for survival prediction in ICU. However, out of 26 patients with SOFA score ≤8 who remained in the wards, only one survived, whereas 19 patients with SOFA score >8 who were transferred to ICUs received futile care.

CONCLUSION

Mortality for patients receiving mechanical ventilation in IM wards is almost inevitable when ICU availability is lacking. Therefore, applying additional transfer criteria beyond the SOFA score is imperative.

U.K. Intensivists' Preferences for Patient Admission to ICU: Evidence From a Choice Experiment

Supplemental Digital Content is available in the text.

Deciding whether to admit a patient to the ICU requires considering several clinical and nonclinical factors. Studies have investigated factors associated with the decision but have not explored the relative importance of different factors, nor the interaction between factors on decision-making. We examined how ICU consultants prioritize specific factors when deciding whether to admit a patient to ICU.

Implementing an intervention to improve decision making around referral and admission to intensive care: Results of feasibility testing in three NHS hospitals

RATIONALE, AIMS, AND OBJECTIVES

Decisions about whether to refer or admit a patient to an intensive care unit (ICU) are clinically, organizationally, and ethically challenging. Many explicit and implicit factors influence these decisions, and there is substantial variability in how they are made, leading to concerns about access to appropriate treatment for critically ill patients. There is currently no guidance to support doctors making these decisions. We developed an intervention with the aim of supporting doctors to make more transparent, consistent, patient-centred, and ethically justified decisions. This paper reports on the implementation of the intervention at three NHS hospitals in England and evaluates its feasibility in terms of usage, acceptability, and perceived impact on decision making.

METHODS

A mixed method study including quantitative assessment of usage and qualitative interviews.

RESULTS

There was moderate uptake of the framework (28.2% of referrals to ICU across all sites during the 3-month study period). Organizational structure and culture affected implementation. Concerns about increased workload in the context of limited resources were obstacles to its use. Doctors who used it reported a positive impact on decision making, with better articulation and communication of reasons for decisions, and greater attention to patient wishes. The intervention made explicit the uncertainty inherent in these decisions, and this was sometimes challenging. The patient and family information leaflets were not used.

CONCLUSIONS

While it is feasible to implement an intervention to improve decision making around referral and admission to ICU, embedding the intervention into existing organizational culture and practice would likely increase adoption. The doctor-facing elements of the intervention were generally acceptable and were perceived as making ICU decision making more transparent and patient-centred. While there remained difficulties in articulating the clinical reasoning behind some decisions, the intervention offers an important step towards establishing a more clinically and ethically sound approach to ICU admission.

Developing an intervention around referral and admissions to intensive care: a mixed-methods study

Background

Intensive care treatment can be life-saving, but it is invasive and distressing for patients receiving it and it is not always successful. Deciding whether or not a patient will benefit from intensive care is a difficult clinical and ethical challenge.

Objectives

To explore the decision-making process for referral and admission to the intensive care unit and to develop and test an intervention to improve it.

Methods

A mixed-methods study comprising (1) two systematic reviews investigating the factors associated with decisions to admit patients to the intensive care unit and the experiences of clinicians, patients and families; (2) observation of decisions and interviews with intensive care unit doctors, referring doctors, and patients and families in six NHS trusts in the Midlands, UK; (3) a choice experiment survey distributed to UK intensive care unit consultants and critical care outreach nurses, eliciting their preferences for factors used in decision-making for intensive care unit admission; (4) development of a decision-support intervention informed by the previous work streams, including an ethical framework for decision-making and supporting referral and decision-support forms and patient and family information leaflets. Implementation feasibility was tested in three NHS trusts; (5) development and testing of a tool to evaluate the ethical quality of decision-making related to intensive care unit admission, based on the assessment of patient records. The tool was tested for inter-rater and intersite reliability in 120 patient records.

Results

Influences on decision-making identified in the systematic review and ethnographic study included age, presence of chronic illness, functional status, presence of a do not attempt cardiopulmonary resuscitation order, referring specialty, referrer seniority and intensive care unit bed availability. Intensive care unit doctors used a gestalt assessment of the patient when making decisions. The choice experiment showed that age was the most important factor in consultants’ and critical care outreach nurses’ preferences for admission. The ethnographic study illuminated the complexity of the decision-making process, and the importance of interprofessional relationships and good communication between teams and with patients and families. Doctors found it difficult to articulate and balance the benefits and burdens of intensive care unit treatment for a patient. There was low uptake of the decision-support intervention, although doctors who used it noted that it improved articulation of reasons for decisions and communication with patients.

Limitations

Limitations existed in each of the component studies; for example, we had difficulty recruiting patients and families in our qualitative work. However, the project benefited from a mixed-method approach that mitigated the potential limitations of the component studies.

Conclusions

Decision-making surrounding referral and admission to the intensive care unit is complex. This study has provided evidence and resources to help clinicians and organisations aiming to improve the decision-making for and, ultimately, the care of critically ill patients.

Future work

Further research is needed into decision-making practices, particularly in how best to engage with patients and families during the decision process. The development and evaluation of training for clinicians involved in these decisions should be a priority for future work.

Study registration

The systematic reviews of this study are registered as PROSPERO CRD42016039054, CRD42015019711 and CRD42015019714.

Funding

The National Institute for Health Research Health Services and Delivery Research programme. The University of Aberdeen and the Chief Scientist Office of the Scottish Government Health and Social Care Directorates fund the Health Economics Research Unit.

Type 2 diabetes and postoperative pneumonia: An observational, population-based study using the Spanish Hospital Discharge Database, 2001-2015

Purpose

We analyzed temporal trends, demographic and clinical characteristics and hospital mortality rates of postoperative pneumonia among type 2 diabetes mellitus (T2DM) patients in Spain from 2001 to 2015. We also compared the incidence, comorbidities and mortality between patients with and without T2DM suffering from postoperative pneumonia. Finally, we analyzed the factors involved in the prediction of in-hospital mortality among patients suffering postoperative pneumonia.

Methods

We used the Spanish National Hospital Discharge Database for the period 2001–2015. We analyzed patients aged 40 years or over who had been hospitalized for a surgical procedure and suffered pneumonia or ventilator-associated pneumonia during their hospital admission. We compared patients with and without T2DM. The main outcome measures were the type of surgical procedure, the presence of a comorbidity, the type of isolated pathogens, admission to the emergency room (ER) and in-hospital mortality (IHM).

Results

We selected 117,665 hospitalized patients who suffered postoperative pneumonia (16.9% with T2DM). After multivariable adjustment, T2DM patients had a 21% higher incidence of postoperative pneumonia than nondiabetic patients (IRR 1.21, 95% CI 1.03–1.42). The IHM was approximately 31% in both groups. Predictors of IHM included age, the presence of comorbidities, treatment with a pleural drainage tube, dialysis, blood transfusion, mechanical ventilation and admission to the ER. From 2001 to 2015, the IHM decreased significantly in both populations. Suffering from T2DM was not a predictor of IHM (OR 0.99, 95% CI 0.96–1.03) in our investigation.

Conclusions

T2DM patients have a higher incidence of postoperative pneumonia than those without this disease. The IHM decreased from 2001 to 2015, regardless of T2DM status. T2DM did not predict a higher IHM after suffering from postoperative pneumonia.

Mortality and long-term dialysis requirement among elderly continuous renal replacement therapy patients in a tertiary referral intensive care unit

Background

Elderly patients are frequently considered poor candidates for continuous renal replacement therapy in intensive care units, but with little evidence base.

Methods

We gathered data regarding patients requiring continuous renal replacement therapy at our institution's intensive care unit during 2012-2014, and compared outcomes between patients of 75 years or older, and younger patients.

Results

Older patients had similar intensive care unit mortality to younger patients (41.5% vs. 36.1%, p = 0.21), but higher hospital mortality (54.2% vs. 44.0%, p = 0.02), and one-year mortality (63.6% vs. 50.6%, p = 0.005). There were no significant differences in dialysis-dependence rates between older and younger patients at intensive care unit discharge (31.9% vs. 35.8%, p = 0.50), and hospital discharge (18.5% vs. 24.2%, 0.32). Rates of new dialysis-dependence between older and younger patients at time of hospital discharge were similar (10.2% vs. 6.0%, p = 0.20).

Conclusions

Intensivists should not withhold continuous renal replacement therapy based on age alone. Other factors should be considered in triage of patients for intensive care unit and continuous renal replacement therapy.

Effect of Emergency Department and ICU Occupancy on Admission Decisions and Outcomes for Critically Ill Patients

OBJECTIVES

ICU admission delays can negatively affect patient outcomes, but emergency department volume and boarding times may also affect these decisions and associated patient outcomes. We sought to investigate the effect of emergency department and ICU capacity strain on ICU admission decisions and to examine the effect of emergency department boarding time of critically ill patients on in-hospital mortality.

DESIGN

A retrospective cohort study.

SETTING

Single academic tertiary care hospital.

PATIENTS

Adult critically ill emergency department patients for whom a consult for medical ICU admission was requested, over a 21-month period.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Patient data, including severity of illness (Mortality Probability Model III on Admission), outcomes of mortality and persistent organ dysfunction, and hourly census reports for the emergency department, for all ICUs and all adult wards were compiled. A total of 854 emergency department requests for ICU admission were logged, with 455 (53.3%) as "accept" and 399 (46.7%) as "deny" cases, with median emergency department boarding times 4.2 hours (interquartile range, 2.8-6.3 hr) and 11.7 hours (3.2-20.3 hr) and similar rates of persistent organ dysfunction and/or death 41.5% and 44.6%, respectively. Those accepted were younger (mean ± SD, 61 ± 17 vs 65 ± 18 yr) and more severely ill (median Mortality Probability Model III on Admission score, 15.3% [7.0-29.5%] vs 13.4% [6.3-25.2%]) than those denied admission. In the multivariable model, a full medical ICU was the only hospital-level factor significantly associated with a lower probability of ICU acceptance (odds ratio, 0.55 [95% CI, 0.37-0.81]). Using propensity score analysis to account for imbalances in baseline characteristics between those accepted or denied for ICU admission, longer emergency department boarding time after consult was associated with higher odds of mortality and persistent organ dysfunction (odds ratio, 1.77 [1.07-2.95]/log10 hour increase).

CONCLUSIONS

ICU admission decisions for critically ill emergency department patients are affected by medical ICU bed availability, though higher emergency department volume and other ICU occupancy did not play a role. Prolonged emergency department boarding times were associated with worse patient outcomes, suggesting a need for improved throughput and targeted care for patients awaiting ICU admission.

Determinants and outcomes associated with decisions to deny intensive care unit admission in Tunisian ICU

Introduction

intensive care unit (ICU) beds are a scarce resource, and admissions may require prioritization when demand exceeds supply. However, there are few data regarding both outcomes of admitted patients to intensive care unit (ICU) in comparison with outcomes of not admitted patients. The aim of this study was to assess reasons and factors associated to refusal of admission to ICU as well as the impact on mortality at 28 days and patients' outcomes.

Methods

Single-center, cross-sectional descriptive study conducted in 8-bed Medical ICU at a Tunisian University hospital. All consecutive adult patients referred for admission to ICU during 6 months were included. We collected demographic data, ICU admission/refusal reasons, co-morbidity and diagnosis at time of admission, mortality probability model (MPMII0) score, day and time of admission, request for admission and mortality at 28 days.

Results

327 patients were evaluated for ICU admission and 260 were refused to ICU (79.5%). Patients refused because of unavailability of beds represented 50% and patients considered “too sick to benefit” represented 22%. Multivariate analysis showed that the presence of acute respiratory failure and request by direct contact in the unit were independently associated to admission to ICU (OR: 0.15; 95% CI: 0.07-0.31 and OR: 0.16; 95% CI: 0.08-0.31, respectively). Higher mortality rates were shown in patients “too sick to benefit” (80.7%) and unavailable beds (26.56%).

Conclusion

Refusal of ICU admission was correlated with the severity of acute illness, lack of ICU beds and reasons for admission request. ICU clinicians should evaluate their triage decisions and, if possible, routinely solicit patient preferences during medical emergencies, taking steps to ensure that ICU admission decisions are in line with the goals of the patient. Ultimately, these efforts will help ensure that scarce ICU resources are used most effectively and efficiently.

Incidence, characteristic and outcomes of ventilator-associated pneumonia among type 2 diabetes patients: An observational population-based study in Spain

BACKGROUND

To describe incidence, characteristics and outcomes of ventilator-associated pneumonia (VAP) during hospitalization among patients with or without type 2 diabetes (T2DM).

METHODS

We used the Spanish national hospital discharge database to select all hospitalization with VAP in subjects aged 40years or more from 2010 to 2014. We analyzed incidence, patient comorbidities, procedures, pneumonia pathogens and in-hospital outcomes according to diabetes status (T2DM and no-diabetes). We used propensity score analysis to estimate the effect of T2DM on in-hospital mortality RESULTS: In 7952 admissions, the patient developed a VAP (13.6% with T2DM). Adjusted incidence rate of VAP was slightly, but significantly, higher in T2DM than in non-diabetic patients (36.46[95% CI 34.41-38.51] vs. 32.57[95% CI 31.40-33.74] cases per 100,000/inhabitants). T2DM people were older and had higher Charlson comorbidity index than non-diabetic people. T2DM patients had a lower mean number of failing organs than non-diabetic patients (1.20 SD 1.17 vs. 1.45 SD 1.44, p<0.001). Pseudomonas was the most frequently isolated agent in both groups. IHM was 41.92% for T2DM patients and 37.91% for non-diabetic patients (p<0.05). Factors associated with a higher mortality in both groups included: older age, more comorbidities and primary diagnoses of vein or artery occlusion, pulmonary disease and cancer. T2DM was not associated with a higher in-hospital mortality after adjustment using a propensity score (OR 0.88; 95% CI 0.76-1.35).

CONCLUSIONS

VAP incidence rates were higher among T2DM patients. In-hospital mortality was higher among the older patients and those with more co-morbid conditions. T2DM does not predict higher mortality in VAP during hospitalization.

Fatores associados aos incidentes de segurança entre idosos em terapia intensiva

Resumo Objetivo Verificar os fatores demográficos e clínicos associados aos incidentes de segurança entre idosos em terapia intensiva. Métodos Estudo retrospectivo em prontuários de 112 admissões de idosos internados na Unidade de Terapia Intensiva em 2015. Os dados foram coletados de janeiro a junho de 2016, utilizando: Formulário de caracterização da população, Simplified Acute Physiology Score II; índice de Charlson e a Classificação Internacional de Segurança do Paciente; analisados por regressão linear múltipla (p<0,05). Resultados O tempo de internação aumentou todos os tipos de incidentes sem dano (ISD), eventos adversos (EA) geral, processo/procedimento e infecção. O sexo masculino aumentou os ISD de dieta e, o feminino, EA de administração. O grupo etário de 60 a 79 anos aumentou ISD de medicação. A internação clínica aumentou os ISD de comportamento e, a cirúrgica, EA de infecção. Conclusão Tempo de internação; sexo, grupo etário e internação associaram-se ao aumento de ISD e EA.

Factors influencing the initiation of intensive care in elderly patients and their families: A retrospective cohort study

BACKGROUND

The number of elderly patients admitted to the intensive care unit is constantly growing. However, a decision regarding intensive care in these populations remains a challenge.

AIM

To identify factors that influences the decision of elderly patients and their families about whether to initiate intensive care in case of an acute event.

DESIGN/PARTICIPANTS

Medical records of patients (>80 years), who were admitted to general wards and referred for intensive care, were retrospectively reviewed. Patients who received intensive care were compared with those not agreeing to the initiation of intensive care.

RESULTS

Among the 125 patients, 45 agreed to receiving intensive care. Baseline characteristics at the time of intensive care unit referral were similar between the intensive care and non-intensive care groups. Only one patient had advance directives before the intensive care unit referral. Lower economic status (odds ratio = 0.27, 95% confidence interval = 0.08-0.94) and cognitive impairment (odds ratio = 0.20, 95% confidence interval = 0.07-0.56) were found associated with a lower likelihood of agreeing to intensive care, while a large number of participants involved in the decision-making process were associated with a higher likelihood of intensive care unit use (odds ratio = 1.82, 95% confidence interval = 1.08-3.09). Mean duration of hospital stay was longer for the intensive care group as compared with the non-intensive care group (28.8 days and 19.8 days, respectively, p = 0.03). However, there was no significant difference in the survival rate.

CONCLUSION

The initiation of intensive care in elderly patients was influenced not only by medical conditions but also by the patient's economic status and the number of family members involved in the decision-making process.

Functional Status and Quality of Life in Elderly Intensive Care Unit Survivors

OBJECTIVES

To evaluate functional status and quality of life in elderly intensive care unit (ICU) survivors at 1-year follow-up.

DESIGN

Prospective 18-month observational study.

SETTING

University medical-surgical ICU.

PARTICIPANTS

ICU survivors aged 75 and older.

MEASUREMENTS

Functional status at baseline (Barthel Index (BI)) was compared with that at hospital discharge and 1-year follow-up. Health-related quality of life (HRQL Spanish version of the Medical Outcomes Study 36-item Short-From Survey) was measured at 1-year follow-up and compared with that of the Spanish population of same age.

RESULTS

Of 176 individuals admitted to the ICU, 110 (62.1%) were discharged alive from the hospital, and 94 (53.1%) were alive at 1-year follow-up. ICU admission was associated with significant clinical deterioration (median BI 100 points (interquartile range (IQR) 85-100) at baseline vs 85 (IQR 60-100) at hospital discharge, P < .001). Three months after discharge, there was a significant although modest improvement in functional status (BI 95 (IQR 80-100) P = .03). Baseline functional status was not recovered at 1-year follow-up (BI 95 (IQR 80-100) P < .001). More ICU survivors had moderate to severe dependence at the end of follow-up (20.3%) than at ICU admission (6.6%) (P < .001). Factors independently associated with poor functional recovery were low baseline BI and ICU stay longer than 4 days. At 1-year follow-up, 76.8% of participants who survived were living in their own homes. HRQL was similar to that of the Spanish population of the same age.

CONCLUSION

Elderly ICU survivors experienced significant deterioration in functional status, and although they recovered modestly during the following year, they never regained their baseline status. Good recovery was associated with short ICU stay and better baseline functional status.

Mortality and functional status at one-year of follow-up in elderly patients with prolonged ICU stay

OBJECTIVE

To evaluate mortality and functional status at one year of follow-up in patients>75 years of age who survive Intensive Care Unit (ICU) admission of over 14 days.

DESIGN

A prospective observational study was carried out.

SETTING

A Spanish medical-surgical ICU.

PATIENTS

Patients over 75 years of age admitted to the ICU.

PRIMARY VARIABLES OF INTEREST

ICU admission: demographic data, baseline functional status (Barthel index), baseline mental status (Red Cross scale of mental incapacity), severity of illness (APACHE II and SOFA), stay and mortality. One-year follow-up: hospital stay and mortality, functional and mental status, and one-year follow-up mortality.

RESULTS

A total of 176 patients were included, of which 22 had a stay of over 14 days. Patients with prolonged stay did not show more ICU mortality than those with a shorter stay in the ICU (40.9% vs 25.3% respectively, P=.12), although their hospital (63.6% vs 33.8%, P<.01) and one-year follow-up mortality were higher (68.2% vs 41.2%, P=.02). Among the survivors, one-year mortality proved similar (87.5% vs 90.6%, P=.57). These patients presented significantly greater impairment of functional status at hospital discharge than the patients with a shorter ICU stay, and this difference persisted after three months. The levels of independence at one-year follow-up were never similar to baseline. No such findings were observed in relation to mental status.

CONCLUSIONS

Patients over 75 years of age with a ICU stay of more than 14 days have high hospital and one-year follow-up mortality. Patients who survive to hospital admission did not show greater mortality, though their functional dependency was greater.

Surgical care for the aged: a retrospective cross-sectional study of a national surgical mortality audit

OBJECTIVES

It is assumed that increased age signifies increased surgical care. Few surgical studies describe the differences in care provided to older patients compared with younger patients. We aimed to examine the relationships between increasing age, preoperative factors and markers of postoperative care in adults who died in-hospital after surgery in Australia.

DESIGN

This retrospective cross-sectional study extracted data from a national surgical mortality audit--an independent, peer-reviewed process.

SETTING

From January 2009 to December 2012, 111 public and 61 private Australian hospitals notified the audit of in-hospital deaths after general anaesthetic surgery or if the patient was admitted under a surgeon.

PARTICIPANTS

Notified deaths totalled 19,723. We excluded deaths if patients were brain dead, younger than 17 years or never had an operation (n=11,376). From this baseline population, we divided 11,201 deaths into three patient age groups: youngest (17-64 years), medium (65-79 years) and oldest (≥80 years).

OUTCOME MEASURES

Univariable and multivariable logistic regression analyses determined the relationships between increasing age and the measured preoperative factors and postoperative variables.

RESULTS

The baseline population's median age was 78 years (IQR 66-85), 43.7% (4892/11,201) were 80 years or older and 83.4% (9319/11,173) had emergency admissions. The oldest group had increased trauma and emergency admissions than the medium and youngest age groups. Seven of the eight measured markers of postoperative care demonstrate strong and significant relationships with increasing age. The oldest group compared with the medium group had decreased rates of: unplanned returns to theatre (11.2% (526/4709) vs 20.2% (726/3586)), unplanned intensive care admissions (16.3% (545/3350) vs 24.0% (601/2504)) and treatment in intensive care units (59.7% (2689/4507) vs 76.7% (2754/3590)).

CONCLUSIONS

The oldest patients received lower levels of care than the medium and youngest age groups.