Frailty, periinterventional complications and outcome in patients undergoing percutaneous mitral and tricuspid valve repair

BACKGROUND

Frailty is common in elderly and multimorbid patients and associated with increased vulnerability to stressors.

METHODS

In a single centre study frailty according to Fried criteria was assessed in consecutive patients before transcatheter mitral and tricuspid valve repair. Postprocedural infections, blood transfusion and bleeding and renal failure were retrospectively assessed from records. Median follow-up time for survival was 560 days (IQR: 363 to 730 days).

RESULTS

90% of 626 patients underwent mitral valve repair, 5% tricuspid valve repair, and 5% simultaneous mitral and tricuspid valve repair. 47% were classified as frail. Frailty was associated with a significantly increased frequency of bleeding (16 vs 10%; p = 0.016), blood transfusions (9 vs 3%; p =  < 0.001) and infections (18 vs 10%; p = 0.006), but not with acute kidney injury (20 vs 20%; p = 1.00). Bleeding and infections were associated with longer hospital stays, with a more pronounced effect in frail patients (interaction test p < 0.05, additional 3.2 and 4.1 days in frail patients, respectively). Adjustment for the occurrence of complications did not attenuate the increased risk of mortality associated with frailty (HR 2.24 [95% CI 1.62-3.10]; p < 0.001).

CONCLUSIONS

Bleeding complications and infections were more frequent in frail patients undergoing transcatheter mitral and tricuspid valve repair and partly explained the longer hospital stay. Albeit some of the complications were associated with higher long-term mortality, this did not explain the strong association between frailty and mortality. Further research is warranted to explore interventions targeting periprocedural complications to improve outcomes in this vulnerable population.

A risk nomogram for predicting prolonged intensive care unit stays in patients with chronic obstructive pulmonary disease

Background

Providing intensive care is increasingly expensive, and the aim of this study was to construct a risk column line graph (nomograms)for prolonged length of stay (LOS) in the intensive care unit (ICU) for patients with chronic obstructive pulmonary disease (COPD).

Methods

This study included 4,940 patients, and the data set was randomly divided into training (n = 3,458) and validation (n = 1,482) sets at a 7:3 ratio. First, least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimize variable selection by running a tenfold k-cyclic coordinate descent. Second, a prediction model was constructed using multifactorial logistic regression analysis. Third, the model was validated using receiver operating characteristic (ROC) curves, Hosmer-Lemeshow tests, calibration plots, and decision-curve analysis (DCA), and was further internally validated.

Results

This study selected 11 predictors: sepsis, renal replacement therapy, cerebrovascular disease, respiratory failure, ventilator associated pneumonia, norepinephrine, bronchodilators, invasive mechanical ventilation, electrolytes disorders, Glasgow Coma Scale score and body temperature. The models constructed using these 11 predictors indicated good predictive power, with the areas under the ROC curves being 0.826 (95%CI, 0.809-0.842) and 0.827 (95%CI, 0.802-0.853) in the training and validation sets, respectively. The Hosmer-Lemeshow test indicated a strong agreement between the predicted and observed probabilities in the training (χ² = 8.21, p = 0.413) and validation (χ² = 0.64, p = 0.999) sets. In addition, decision-curve analysis suggested that the model had good clinical validity.

Conclusion

This study has constructed and validated original and dynamic nomograms for prolonged ICU stay in patients with COPD using 11 easily collected parameters. These nomograms can provide useful guidance to medical and nursing practitioners in ICUs and help reduce the disease and economic burdens on patients.

Predicting Prolonged Length of ICU Stay through Machine Learning

This study aimed to construct machine learning (ML) models for predicting prolonged length of stay (pLOS) in intensive care units (ICU) among general ICU patients. A multicenter database called eICU (Collaborative Research Database) was used for model derivation and internal validation, and the Medical Information Mart for Intensive Care (MIMIC) III database was used for external validation. We used four different ML methods (random forest, support vector machine, deep learning, and gradient boosting decision tree (GBDT)) to develop prediction models. The prediction performance of the four models were compared with the customized simplified acute physiology score (SAPS) II. The area under the receiver operation characteristic curve (AUROC), area under the precision-recall curve (AUPRC), estimated calibration index (ECI), and Brier score were used to measure performance. In internal validation, the GBDT model achieved the best overall performance (Brier score, 0.164), discrimination (AUROC, 0.742; AUPRC, 0.537), and calibration (ECI, 8.224). In external validation, the GBDT model also achieved the best overall performance (Brier score, 0.166), discrimination (AUROC, 0.747; AUPRC, 0.536), and calibration (ECI, 8.294). External validation showed that the calibration curve of the GBDT model was an optimal fit, and four ML models outperformed the customized SAPS II model. The GBDT-based pLOS-ICU prediction model had the best prediction performance among the five models on both internal and external datasets. Furthermore, it has the potential to assist ICU physicians to identify patients with pLOS-ICU risk and provide appropriate clinical interventions to improve patient outcomes.

Risk factors associated with longer stays in cardiovascular surgical intensive care unit after CABG

BACKGROUND/PURPOSE

Monitoring ICU length of stay (LOS) after CABG and examining its risk factors can guide initiatives on the improvement of care. But few have evaluated this issue to include personal and clinical factors, and demands of ICU care. This study applied Donabedian model to identify risk factors for longer ICU stays after CABG. Lifestyle, clinical factors during and after CABG, TISS were viewed as structure factors, and infection and organ failures during ICU did as process factors.

METHODS

This retrospective cohort study used data via medical records at a medical center. A stratified randomized sample of 230 adults from a cohort of 690 isolated CABGs was to reflect the rate of 34.7% longer than 3-day-ICU LOS. The sample comprised of longer-stay group (n = 150) and shorter-stay group (n = 80).

RESULT

Hierarchical logistic regression analysis revealed that potential signs of infection (3-day average WBC higher than 10,000/μL, OR: 3.41 and the body temperature higher than 38 °C, OR:5.67) and acute renal failure (OR: 8.97) remained as the most significant predicted factors of stay longer than 3 ICU days. Along with higher TISS score within 24 hours (OR:1.06), structure factors of female gender (OR:4.16) smoking(OR: 4.87), higher CCI before surgery(OR:1.49), bypass during CABG (OR:3.51) had higher odds of risk to stay longer.

CONCLUSION

Further quality improvement initiatives to shorten ICU stay after CABG may include the promotion of a smoking cessation program in clinical practice, and better management of the manpower allocation, infection control and renal failure.

Prediction of Prolonged Intensive Care Unit Length of Stay Following Cardiac Surgery

Intensive care unit (ICU) costs comprise a significant proportion of the total inpatient charges for cardiac surgery. No reliable method for predicting intensive care unit length of stay following cardiac surgery exists, making appropriate staffing and resource allocation challenging. We sought to develop a predictive model to anticipate prolonged ICU length of stay (LOS). All patients undergoing coronary artery bypass grafting (CABG) and/or valve surgery with a Society of Thoracic Surgeons (STS) predicted risk score were evaluated from an institutional STS database. Models were developed using 2014-2017 data; validation used 2018-2019 data. Prolonged ICU LOS was defined as requiring ICU care for at least three days postoperatively. Predictive models were created using lasso regression and relative utility compared. A total of 3283 patients were included with 1669 (50.8%) undergoing isolated CABG. Overall, 32% of patients had prolonged ICU LOS. Patients with comorbid conditions including severe COPD (53% vs 29%, P < 0.001), recent pneumonia (46% vs 31%, P < 0.001), dialysis-dependent renal failure (57% vs 31%, P < 0.001) or reoperative status (41% vs 31%, P < 0.001) were more likely to experience prolonged ICU stays. A prediction model utilizing preoperative and intraoperative variables correctly predicted prolonged ICU stay 76% of the time. A preoperative variable-only model exhibited 74% prediction accuracy. Excellent prediction of prolonged ICU stay can be achieved using STS data. Moreover, there is limited loss of predictive ability when restricting models to preoperative variables. This novel model can be applied to aid patient counseling, resource allocation, and staff utilization.

Short-term and long-term impact of diagnosed and undiagnosed chronic obstructive pulmonary disease on coronary artery bypass grafting surgery

OBJECTIVES

This study sought to compare clinical outcomes between three categories of patients: non-chronic obstructive pulmonary disease (COPD), diagnosed COPD and undiagnosed COPD in coronary artery bypass grafting surgery.

METHODS

A single-centred retrospective study from January 2010 to December 2019. Primary outcomes were postoperative complications, length of ITU admission and in-hospital staying. Secondary outcomes were reintervention rate, in-hospital and long-term mortality.

RESULTS

A total of 4020 patients were analysed and divided into three cohorts: non-COPD (group A) (74.55%, n=2997), diagnosed COPD (group B) (14.78%, n=594) and undiagnosed COPD (group C) (10.67%, n=429). The rate of respiratory complications was noted in this order: group B>group C>group A (p 0.00000002). Periooperative acute kidney injury and wound complications were higher in group B (p 0.0004 and p 0.03, respectively). Prolonged in-hospital staying (days) resulted in group B (p 0.0009). Finally, long-term mortality was statistically higher in group B and C compared with group A (p 0.0004). No difference in long-term mortality was noted in relation to the expected FEV1% in group B (p 0.29) and group C (p 0.82).

CONCLUSIONS

In CABG surgery, COPD is a well-known independent risk factor for morbidity. Patients with preoperative spirometry results indicative of COPD result in the same outcomes of known patients with COPD. As a result of that, greater value should be given to the preoperative spirometry in the EuroSCORE. Finally, the expected FEV1% appears not be a predictor for long-term survival.

Preconditioning with levosimendan reduces postoperative low cardiac output in moderate-severe systolic dysfunction patients who will undergo elective coronary artery bypass graft surgery: a cost-effective strategy

Background

Patients with moderate-severe systolic dysfunction undergoing coronary artery bypass graft have a higher incidence of postoperative low cardiac output. Preconditioning with levosimendan may be a useful strategy to prevent this complication. In this context, design cost-effective strategies like preconditioning with levosimendan may become necessary.

Methods

In a sequential assignment of patients with Left Ventricle Ejection Fraction less than 40%, two strategies were compared in terms of cost-effectiveness: standard care (n = 41) versus preconditioning with Levosimendan (n = 13). The adverse effects studied included: postoperative new-onset atrial fibrillation, low cardiac output, renal failure and prolonged mechanical ventilation. The costs were evaluated using deterministic and probabilistic sensitivity analysis, and Monte Carlo simulations were performed.

Results

Preconditioning with levosimendan in moderate to severe systolic dysfunction (Left Ventricle Ejection Fraction < 40%), was associated with a lower incidence of postoperative low cardiac output in elective coronary artery bypass graft surgery 2(15.4%) vs 25(61%) (P < 0.01) and lesser intensive care unit length of stay 2(1–4) vs 4(3–6) days (P = 0.03). Average cost on levosimendan group was 14,792€ while the average cost per patient without levosimendan was 17,007€. Patients with no complications represented 53.8% of the total in the levosimendan arm, as compared to 31.7% in the non-levosimendan arm. In all Montecarlo simulations for sensitivity analysis, use of levosimendan was less expensive and more effective.

Conclusions

Preconditioning with levosimendan, is a cost-effective strategy preventing postoperative low cardiac output in patients with moderate-severe left ventricular systolic dysfunction undergoing elective coronary artery bypass graft surgery.

Predictive factors associated with mortality and discharge in intensive care units: a retrospective cohort study

Background and aim

Accurate prediction of prognosis of patients admitted to intensive care units (ICUs) is very important for the clinical management of the patients. The present study aims to identify independent factors affecting death and discharge in ICUs using competing risk modeling.

Methods

This retrospective cohort study was conducted on enrolling 880 patients admitted to emergency ICU in Namazi hospital, Shiraz University of Medical Sciences, Shiraz, Iran during 2013-2015. The data was collected from patients' medical records using a researcher-made checklist by a trained nurse. Competing risk regression models were fitted for the factors affecting the occurrence of death and discharge in ICU. Data analysis was conducted using STATA 13 and R 3.3.3 software.

Results

Among these patients, 682 (77.5%) were discharged and 157 (17.8%) died in the ICU. The patients' mean ± SD age was 48.90±19.52 yr. Among the study patients, 45.57% were female and 54.43% were male. In the competing risk model, age (Sub-distribution Hazard Ratio (SHR)) =1.02, 95% CI: 1.007-1.032), maximum heart rate (SHR=1.009, 95% CI: 1.001-1.019), minimum sodium level (SHR=1.035, 95% CI: 1.007-1.064), PH (SHR=7.982, 95% CI: 1.259-50.61), and bilirubin (SHR=1.046, 95% CI: 1.015-1.078) increased the risk of death, while maximum sodium level (SHR=0.946, 95% CI: 0.908-0.986) and maximum HCT (SHR=0.938, 95% CI: 0.882-0.998) reduced the risk of death.

Conclusion

In conclusion, the results of this study revealed several variables that were effective in ICU length of stay (LOS). The variables that independently influenced time-to-discharge were age, maximum systolic blood pressure, minimum HCT, maximum WBC, and urine output, maximum HCT and Glasgow coma score. The results also showed that age, maximum heart rate, maximum sodium level, PH, urine output, and bilirubin, minimum sodium level and maximum HCT were the predictors of death. Furthermore, our findings indicated that the competing risk model was more appropriate than the Cox model in evaluating the predictive factors associated with the occurrence of death and discharge in patients hospitalized in ICUs. Hence, this model could play an important role in managers' and clinicians' decision-making and improvement of the standard of care in ICUs.

Prolonged Intensive Care Unit Stay Following Transcatheter Aortic Valve Replacement

PURPOSE

Postoperative intensive care unit (ICU) stay after cardiac surgeries has been extensively studied, but little attention has been given to ICU stay following transcatheter aortic valve replacement (TAVR). This study examined ICU stay after TAVR.

METHODS

Two hundred and forty-five patients who underwent TAVR between April 2010 and October 2016 were studied retrospectively. We investigated the status of ICU stay, the predictors of prolonged ICU stay (PICUS), and its impact on short- and long-term outcomes. Prolonged ICU stay was defined as post-TAVR ICU stay longer than 2 days (day of TAVR + 1 day).

RESULTS

Length of ICU stay was 2.6 ± 4.9 days, and PICUS was identified in 14.7% of the patients. The predominant reason for PICUS was congestive heart failure or circulatory failure (41.7%). Pulmonary dysfunction and nontransfemoral approach were independent predictors of PICUS (pulmonary dysfunction: odds ratio = 2.64, 95% confidence interval [CI]: 1.05-7.35; nontransfemoral approach: odds ratio = 2.81, 95% CI: 1.15-6.89). Prolonged ICU stay was associated with higher rate of 30-day combined end point (PICUS vs non-PICUS: 44.4% vs 3.3%, P < .0001), longer postoperative hospital stay (49.9 ± 141.9 days vs 12.0 ± 6.0 days, P < .0001), and lower rate of discharge home (77.8% vs 95.2%, P = .0002). Patients with PICUS had worse long-term survival (P < .0001), and PICUS was a predictor of mortality (hazard ratio: 4.21, 95% CI: 2.09-8.22).

CONCLUSION

Prolonged ICU stay following TAVR was found in 14.7%, and pulmonary dysfunction and nontransfemoral approach were associated with PICUS. Short- and long-term prognoses were worse in patients with PICUS than those without.

[Predictors of prolonged ICU stay following elective adult cardiac surgery: Monocentric retrospective study on 5 and half years]

AIM

The aim of our study was to identify predictors for prolonged ICU stay following elective adult cardiac surgery under cardiopulmonary bypass.

PATIENTS AND METHODS

A retrospective study was conducted during 5 years and a half period. Were included, patients age≥18 years old, underwent elective cardiac surgery under cardiopulmonary bypass. Patients who died within 48hours of surgery were excluded. Prolonged ICU stay was defined as stay in the ICU for 48hours or more.

RESULTS

During the review period, 610 patients were included. One hundred and sixty-four patients have required a prolonged ICU stay (26.9 %). In multivariate analysis, 5 predictors were identified: ejection fraction<30 % (OR 19.991, IC 95 % [1.382-289.1], P=0.028], pulmonary hypertension (OR 2.293, IC 95 % [1.058-4.973], P=0.036), prolonged ventilation (≥12hours) (OR 4.026, IC 95 % [2.407-6.733], P<0.001). Number of blood units transfused (OR 1.568, IC 95 % [1.073-2.291], and postoperative acute renal failure (OR 2.620, IC 95 % [1.026-6.690], P=0.044]. Prolonged ICU stay is significantly associated with prolonged hospital stay (17 days vs 13 days ; P<0.001) and higher in hospital mortality (22 % vs. 3 %, P<0.001).

CONCLUSION

The identification of these patients at risk of prolonged ICU stay is crucial. It will aid to plan prophylactic measures to optimize their support.

Systematic review of factors influencing length of stay in ICU after adult cardiac surgery

BACKGROUND

Intensive care unit (ICU) care is associated with costly and often scarce resources. In many parts of the world, ICUs are being perceived as major bottlenecks limiting downstream services such as operating theatres. There are many clinical, surgical and contextual factors that influence length of stay. Knowing these factors can facilitate resource planning. However, the extent at which this knowledge is put into practice remains unclear. The aim of this systematic review was to identify factors that impact the duration of ICU stay after cardiac surgery and to explore evidence on the link between understanding these factors and patient and resource management.

METHODS

We conducted electronic searches of Embase, PubMed, ISI Web of Knowledge, Medline and Google Scholar, and reference lists for eligible studies.

RESULTS

Twenty-nine papers fulfilled inclusion criteria. We recognised two types of objectives for identifying influential factors of ICU length of stay (LOS) among the reviewed studies. These were general descriptions of predictors and prediction of prolonged ICU stay through statistical models. Among studies with prediction models, only two studies have reported their implementation. Factors most commonly associated with increased ICU LOS included increased age, atrial fibrillation/ arrhythmia, chronic obstructive pulmonary disease (COPD), low ejection fraction, renal failure/ dysfunction and non-elective surgery status.

CONCLUSION

Cardiac ICUs are major bottlenecks in many hospitals around the world. Efforts to optimise resources should be linked to patient and surgical characteristics. More research is needed to integrate patient and surgical factors into ICU resource planning.

Caregiver status: a simple marker to identify cardiac surgery patients at risk for longer postoperative length of stay, rehospitalization, or death

BACKGROUND

Patients who have undergone cardiac surgery, especially those with greater comorbidities, may be cared for by family members or paid aides.

OBJECTIVE

The purpose of this study was to evaluate the association between having a caregiver among patients who underwent cardiac surgery and clinical outcomes at 1 year. We hypothesized that patients with a caregiver would have longer lengths of stay and higher rehospitalization or death rates 1 year after surgery.

METHODS

We studied 665 patients consecutively admitted for cardiac surgery as part of the Family Cardiac Caregiver Investigation To Evaluate Outcomes sponsored by the National Heart, Lung, and Blood Institute. The participants (mean age, 65 years; women, 35%; racial/ethnic minorities, 21%) completed an interviewer-assisted questionnaire to determine caregiver status. Outcomes were documented by a hospital-based information system; demographics/comorbidities, by electronic records. Associations between having a caregiver and outcomes were evaluated by logistic regression, adjusted for demographic and comorbid conditions.

RESULTS

At baseline, 28% of the patients (n = 183) had a caregiver (8%, paid; 20%, informal only). Having a caregiver was associated with longer (>7 days) postoperative length of stay in univariate analysis among the patients with paid (odds ratio [OR], 3.00; 95% confidence interval [CI], 1.57-5.74) or informal (OR, 1.55; 95% CI, 1.04-2.31) caregivers versus none; the association remained significant for the patients with paid (OR, 2.13; 95% CI, 1.00-4.55) but not with informal (OR, 1.12; 95% CI, 0.70-1.80) caregivers after adjustment. Having a paid caregiver was significantly associated with rehospitalization/death at 1 year in univariate analysis (OR, 2.09; 95% CI, 1.18-3.69); having an informal caregiver was not (OR, 1.39; 95% CI, 0.94-2.06). Increased odds of rehospitalization/death associated with having a paid caregiver attenuated after adjustment (OR, 1.39; 95% CI, 0.74-2.62).

CONCLUSIONS

The patients who underwent cardiac surgery who had a paid caregiver had a significantly longer length of stay independent of comorbidity. The increased risk of rehospitalization/death associated with having a paid caregiver was explained by demographics and comorbidity. These data suggest that caregiver status assessment may be a simple method to identify cardiac surgery patients at increased risk for adverse clinical outcomes.

Risk model of prolonged intensive care unit stay in Chinese patients undergoing heart valve surgery

BACKGROUND

The aim of this study was to develop a preoperative risk prediction model and an scorecard for prolonged intensive care unit length of stay (PrlICULOS) in adult patients undergoing heart valve surgery.

METHODS

This is a retrospective observational study of collected data on 3925 consecutive patients older than 18 years, who had undergone heart valve surgery between January 2000 and December 2010. Data were randomly split into a development dataset (n=2401) and a validation dataset (n=1524). A multivariate logistic regression analysis was undertaken using the development dataset to identify independent risk factors for PrlICULOS. Performance of the model was then assessed by observed and expected rates of PrlICULOS on the development and validation dataset. Model calibration and discriminatory ability were analysed by the Hosmer-Lemeshow goodness-of-fit statistic and the area under the receiver operating characteristic (ROC) curve, respectively.

RESULTS

There were 491 patients that required PrlICULOS (12.5%). Preoperative independent predictors of PrlICULOS are shown with odds ratio as follows: (1) age, 1.4; (2) chronic obstructive pulmonary disease (COPD), 1.8; (3) atrial fibrillation, 1.4; (4) left bundle branch block, 2.7; (5) ejection fraction, 1.4; (6) left ventricle weight, 1.5; (7) New York Heart Association class III-IV, 1.8; (8) critical preoperative state, 2.0; (9) perivalvular leakage, 6.4; (10) tricuspid valve replacement, 3.8; (11) concurrent CABG, 2.8; and (12) concurrent other cardiac surgery, 1.8. The Hosmer-Lemeshow goodness-of-fit statistic was not statistically significant in both development and validation dataset (P=0.365 vs P=0.310). The ROC curve for the prediction of PrlICULOS in development and validation dataset was 0.717 and 0.700, respectively.

CONCLUSION

We developed and validated a local risk prediction model for PrlICULOS after adult heart valve surgery. This model can be used to calculate patient-specific risk with an equivalent predicted risk at our centre in future clinical practice.

Predictors of Prolonged Stay in the Intensive Care Unit following Cardiac Surgery

The prediction of intensive care unit length of stay (ICU-LOS) could contribute to more efficient ICU resources' allocation and better planning of care among cardiac surgery patients. The aim of this study was to identify the preoperative and intraoperative predictors for prolonged cardiac surgery ICU-LOS. An observational cohort study was conducted among 150 consecutive patients, who were admitted to the cardiac surgery ICU of a tertiary hospital of Athens, Greece from September 2010 to January 2011. Multivariate regression analysis revealed that patients with increased creatinine levels preoperatively (odds ratio (OR) 3.0, P = 0.049), history of atrial fibrillation (AF) (OR 6.3, P = 0.012) and high EuroSCORE values (OR 2.6, P = 0.017) had a significant greater probability to stay in the ICU for more than 2 days. In addition, intraoperative hyperglycemia (OR 3.0, P = 0.004) was strongly associated with longer ICU-LOS. In conclusion, the high perioperative risk, the history of AF and renal dysfunction, and the intraoperative hyperglycemia are significant predictors of prolonged ICU stay. The early identification of patients at risk could allow the efficient ICU resources' allocation and the reduction of healthcare costs. This would contribute to nursing care planning depending on the availability of healthcare personnel and ICU bed capacity.

Coronary artery bypass surgery in patients with low EuroSCORE preoperative risk

Patients with EuroSCORE <2 are usually considered to have a low surgical risk and the lowest mortality. In our study preoperative factors in a group of 250 consecutive low-risk patients (EuroSCORE<2), who underwent first isolated coronary artery by-pass surgery during 1999 and 2000., were analyzed. Cumulative follow-up period was 1178.48 patient-years and the primary clinical outcome was all-cause mortality. Patients’ average age was 59.2±7.5 yr. The following preoperative risk factors of increased 5-year mortality were identified: older age (P<0.001), smoking, prior non-recent myocardial infarction and reinfarction, anteroseptal localization of myocardial infarction (P<0.001), poor ejection fraction<=35% (P<0.001), dilatative cardiomyopathy (P<0.001), wall motion systolic index 〉2 (P<0.001), left atrial dilatation (P<0.001), mitral regurgitation more than 2+ (P<0.001), presence of left main disease, triple vessel coronary artery disease (P<0.001), absence of collaterals (P<0.001) and presence of more than 3 distal anastomoses. Through the present study it has been shown that it is possible to identify a subgroup of patients with low operative mortality and excellent 5-year survival after surgical treatment for coronary artery bypass surgery using preoperative clinical, echocardiographic, coronarographic and intraoperative data, even in difficult conditions of the civil war in the region.

Clinical outcomes in patients with prolonged intensive care unit length of stay after cardiac surgical procedures

BACKGROUND

Advances in critical care medicine have allowed for improved care of patients requiring prolonged intensive care unit length of stay (prICULOS) after cardiac operations, yet little is known regarding their eventual outcomes. The purpose of this study was to examine short- and long-term outcomes in patients undergoing cardiac operations with prICULOS.

METHODS

All cases of coronary artery bypass grafting (CABG), aortic valve, mitral valve, and combined CABG/valve surgical procedures performed at a single institution from July 2002 to July 2007 were identified. All-cause mortality in patients discharged alive from the hospital was determined until December 2007 through linkage with the Social Security Death Index. Patients who experienced intraoperative death or those with missing or invalid social security numbers were excluded. The definition of prICULOS was total ICULOS greater than 7 days.

RESULTS

A total of 3,478 patients met inclusion criteria. One hundred thirty-seven of three thousand four hundred seventy-eight patients (3.9%) experienced prICULOS. These patients were more likely to be older than 70 years (55.5% versus 30.5%; p<0.0001) and to have had recent myocardial infarction (28.5% versus 20.1%; p=0.02), previous cardiac operation (18.3% versus 6.9%; p<0.0001), and emergent status (9.5% versus 1.6%; p<0.0001). They experienced greater in-hospital mortality (37.2% versus 1.7%; p<0.0001) and those who were discharged alive had worse long-term survival (log-rank, p<0.0001). After risk adjustment, prICULOS emerged as a significant predictor of in-hospital death (odds ratio [OR] 20.9; 95% confidence interval [CI], 12.9-33.7) and decreased long-term survival (hazard ratio [HR] 2.9; 95% CI, 2.0-4.3).

CONCLUSIONS

Patients with prICULOS after cardiac operations have worse overall outcomes. These data may be used to inform these patients and their families of realistic expectations regarding their clinical course.

Risk factors for prolonged stay in cardiac surgery intensive care units

AIMS AND OBJECTIVES

To identify the factors that might affect the length of stay in the intensive care unit (ICU-LOS) among cardiac surgery patients.

BACKGROUND

ICU-LOS forms an important factor for assessing the effectiveness of the provided nursing care. A number of factors can be accused for increasing patient hospitalization. The nursing workload (NWL), among others, was found to play a significant role as it is closely associated with the quality of care.

DESIGN

An observational cohort study among 313 consecutive patients who were admitted to the cardiac surgery intensive care unit of a general, tertiary hospital of Athens, Greece from November 2008 to November 2009.

METHODS

Data collection was performed by using a short questionnaire (for basic demographic information) and two instruments, the Nursing Activities Score (NAS) and the logistic EuroSCORE, for assessing the NWL and the perioperative risk for each patient respectively.

RESULTS

ICU-LOS of more than 2 days increased with age and was more common among females (p < 0.001 and p = 0.02, respectively). Multivariate logistic regression analysis revealed a positive association between increased perioperative risk and the increased ICU-LOS [odd ratio (OR) 1.9, 95% confidence interval (CI) 1.0-3.5, p = 0.04], while patients with a first day NAS of more than 61.6% had an almost 5.2 times greater probability to stay in the cardiac surgery unit for more than 2 days (OR 5.2, 95% CI 3.0-8.8, p < 0.001).

CONCLUSIONS

Increased level of NWL and patient perioperative risk are closely associated with increased ICU-LOS.

RELEVANCE TO CLINICAL PRACTICE

The correlation between patient perioperative risk and ICU-LOS encourages the early identification of high-risk patients for prolonged hospitalization. Furthermore, the relationship between NWL and ICU-LOS allows the early identification of these patients with the use of an independent nursing tool.

What happens after discharge? An analysis of long-term survival in cardiac surgical patients requiring prolonged intensive care

BACKGROUND

Cardiac surgical patients with postoperative complications frequently require prolonged intensive care yet survive to hospital discharge.

METHODS

From January 1, 2002 to December 31, 2007, 11,541 consecutive patients underwent cardiac operations at a single academic institution. Of these, 11,084 (95.9%) survived to hospital discharge and comprised the study sample. Patients were retrospectively categorized into four groups according to intensive care unit (ICU) length of stay (LOS): <3 days, three to seven days, 7 to 14 days, and >14 days. Survival at 12 months was determined using the Social Security Death Index. Kaplan-Meier (KM) survival curves and Cox proportional hazards regression modeling (hazard ratio, HR) were used to analyze group differences in survival.

RESULTS

One-year survival among the four groups according to ICU LOS was: <3 days, 97.0% (8407/8666); three to seven days, 91.2% (1481/1625); 7 to 14 days, 87.9% (356/405); and >14 days, 68.3% (265/388) (p < 0.001). Using multivariable regression analysis, adjusted overall mortality was significantly greater in patients with ICU LOS of three to seven days (HR = 1.51), 7 to 14 days (HR = 1.40), and >14 days (HR = 1.90) compared to patients with ICU LOS <3 days. Mortality among patients who survived more than six months postsurgery was significantly greater in patients with ICU LOS of three to seven days (HR = 1.37), 7 to 14 days (HR = 1.34), and >14 days (HR = 1.63).

CONCLUSIONS

Although cardiac surgery patients with major postoperative complications frequently survive to hospital discharge, survival after discharge is significantly reduced in patients requiring prolonged ICU care. Reduced survival in patients with a high risk of complications and anticipated long ICU stays should be considered when discussing surgical versus nonsurgical options.

[Mid-term outcome of cardiac surgery patients with prolonged postoperative intensive care treatment]

BACKGROUND

The number of patients of advanced age and with severe comorbidities undergoing cardiac surgery is rising. Therefore, in addition to the cardiac surgery procedure itself, postoperative intensive care treatment plays an increasingly important role. The mid-term outcome of patients with postoperative long-term stays in intensive care and perioperative risk factors for an adverse outcome have not been sufficiently evaluated.

MATERIAL AND METHODS

All patients who underwent cardiac surgery in our institution between 2000 and 2004 and who required intensive care treatment on our cardiac surgery intensive care unit for at least 1 week were analyzed. Patients who received heart or lung transplantation or surgery for congenital heart failure were excluded. A total of 31 perioperative variables were evaluated for 230 patients. Follow-up was performed 1 year postoperatively.

RESULTS

In all, 4.3% of our patients required a prolonged stay in intensive care following cardiac surgery. Overall 1-year mortality among patients with a long-term stay in intensive care was 26.9%. The logistic regression identified postoperative renal failure requiring dialysis (OR 4.98) as the strongest predictor for mortality within the first year after surgery, followed by postoperative tracheotomy and preoperatively known atrial fibrillation.

CONCLUSION

Mid-term survival among patients who underwent cardiac surgery followed by a complicated postoperative course is encouragingly high. The risk factors identified for an adverse prognosis may be helpful in improving therapy strategies and general therapy decision-making.

Risk of death and myocardial infarction in patients with peripheral arterial disease undergoing percutaneous coronary intervention (from the National Heart, Lung and Blood Institute Dynamic Registry)

Patients with peripheral arterial disease (PAD) undergoing percutaneous coronary intervention (PCI) are at high risk for adverse cardiovascular events. Trends over time in outcomes with advances in PCI and medical therapy are unknown. We evaluated 866 patients with PAD in the National Heart, Lung, and Blood Institute (NHLBI) Dynamic Registry undergoing PCI according to treatment eras: the early bare metal stent (BMS) era (wave 1, 1997 to 1998, n = 180), the BMS era (waves 2 and 3, 1999 and 2001 to 2002, n = 339), and the drug-eluting stent (DES) era (waves 4 and 5, 2004 and 2006, n = 347). We compared in-hospital and 1-year outcomes by recruitment era. In-hospital coronary artery bypass graft surgery rates were significantly lower in the later eras (3.9%, 0.9%, and 0.6% for the early BMS, BMS, and DES eras, respectively, p for trend = 0.005), and an increasing percentage of patients were discharged on aspirin, β blockers, statins, and thienopyridines (p for trend <0.001 for all comparisons). Cumulative 1-year event rates in patients with PAD in the early BMS era, BMS era, and DES era for death were 13.7%, 10.5%, and 9.8% (p for trend = 0.21), those for myocardial infarction (MI) were 9.8%, 8.8%, and 10.0% (p for trend = 0.95), and those for repeat revascularization were 26.8%, 21.0%, and 17.2% (p for trend = 0.008). The 1-year adjusted hazard ratios of adverse events in patients with PAD using the early BMS era as the reference were 0.84 for death in the BMS era (95% confidence interval [CI] 0.46 to 1.55, p = 0.58) and 1.35 in the DES era (95% CI 0.71 to 2.56, p = 0.36), 0.89 for MI in the BMS era (95% CI 0.48 to 1.66, p = 0.72) and 1.02 in the DES era (95% CI 0.55 to 1.87, p = 0.95), and 0.63 for repeat revascularization in the BMS era (95% CI 0.41 to 0.97, p = 0.04) and 0.46 in the DES era (95% CI 0.29 to 0.73, p = 0.001). In conclusion, despite significant improvements in medical therapy and a decrease in repeat revascularization over time, patients with PAD who undergo PCI have a persistent high rate of death and MI.

Correlation between EuroSCORE and intensive care unit length of stay after coronary surgery

During the last several years many authors have found that the European System for Cardiac Operative Risk Evaluation is useful in the prediction of not only postoperative mortality but also of the length of stay in the intensive care unit, complication rate and overall treatment expenses. This study included 329 patients who had undergone isolated surgical myocardial revascularization at our Department during the period from January 1st to June 6th, 2008. For the operative risk evaluation, the additive European System for Cardiac Operative Risk Evaluaion was used. In group I (low risk 0-2%) there were 144 patients (43.7%), whereas group II (medium risk 3-5%) and group III (high risk > or = 6%) included 141 (42.8%) and 44 (13.4%) patients, respectively. The length of stay in the intensive care unit was 25.56, 32.43 and 49.59 hours for groups I, II and III, respectively. The difference in the mean length of stay in the intensive care unit between the groups was highly statistically significant (p < 0.001) with a positive correlation (R = 0.193; p < 0.001). There is a positive correlation in patients who had undergone surgical myocardial revascularization in terms of operative risk expressed by the additive European System for Cardiac Operative Risk Evaluation and length of stay in the intensive care unit, total intubation period and development of early postoperative complications.