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ABSTRACT: OBJECTIVES:: Information overload in electronic medical records can impede providers' ability to identify important clinical data and may contribute to medical error. An understanding of the information requirements of ICU providers will facilitate the development of information systems that prioritize the presentation of high-value data and reduce information overload. Our objective was to determine the clinical information needs of ICU physicians, compared to the data available within an electronic medical record. DESIGN:: Prospective observational study and retrospective chart review. SETTING:: Three ICUs (surgical, medical, and mixed) at an academic referral center. SUBJECTS:: Newly admitted ICU patients and physicians (residents, fellows, and attending staff). MEASUREMENTS AND MAIN RESULTS:: The clinical information used by physicians during the initial diagnosis and treatment of admitted patients was captured using a questionnaire. Clinical information concepts were ranked according to the frequency of reported use (primary outcome) and were compared to information availability in the electronic medical record (secondary outcome). Nine hundred twenty-five of 1,277 study questionnaires (408 patients) were completed. Fifty-one clinical information concepts were identified as being useful during ICU admission. A median (interquartile range) of 11 concepts (6-16) was used by physicians per patient admission encounter with four used greater than 50% of the time. Over 25% of the clinical data available in the electronic medical record was never used, and only 33% was used greater than 50% of the time by admitting physicians. CONCLUSIONS:: Physicians use a limited number of clinical information concepts at the time of patient admission to the ICU. The electronic medical record contains an abundance of unused data. Better electronic data management strategies are needed, including the priority display of frequently used clinical concepts within the electronic medical record, to improve the efficiency of ICU care.
Critical care medicine 03/2013; · 6.37 Impact Factor
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Chest 03/2013; 143(3):876. · 5.25 Impact Factor
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ABSTRACT: BACKGROUND: In 1993, the American Society of Anesthesiologists (ASA) published guidelines stating that automatic perioperative suspension of Do Not Resuscitate (DNR) orders conflicts with patients' rights to self-determination. Almost 20 years later, we aimed to explore both patient and doctor views concerning perioperative DNR status. METHODS: Five-hundred consecutive patients visiting our preoperative evaluation clinic were surveyed and asked whether they had made decisions regarding resuscitation and to rate their agreement with several statements concerning perioperative resuscitation. Anesthesiologists, surgeons and internists at our tertiary referral institution were also surveyed. They were asked to assess their likelihood of following a hypothetical patient's DNR status and to rate their level of agreement with a series of non-scenario related statements concerning ethical and practical aspects of perioperative resuscitation. RESULTS: Over half of patients (57%) agreed that pre-existing DNR requests should be suspended while undergoing a surgical procedure under anesthesia, but 92% believed a discussion between the doctor and patient regarding perioperative resuscitation plans should still occur. Thirty percent of doctors completing the survey believed that DNR orders should automatically be suspended intraoperatively. Anesthesiologists (18%) were significantly less likely to suspend DNR orders than surgeons (38%) or internists (34%) (p < 0.01). CONCLUSIONS: Although many patients agree that their DNR orders should be suspended for their operation, they expect a discussion regarding the performance and nature of perioperative resuscitation. In contrast to previous studies, anesthesiologists were least likely to automatically suspend a DNR order.
BMC Anesthesiology 01/2013; 13(1):2.
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ABSTRACT: BACKGROUND: Following passage of the Patient Self Determination Act in 1990, health care institutions that receive Medicare and Medicaid funding are required to inform patients of their right to make their health care preferences known through execution of a living will and/or to appoint a surrogate-decision maker. We evaluated the impact of external factors and perceived patient preferences on physicians' decisions to honor or forgo previously established advance directives (ADs). In addition, physician views regarding legal risk, patients' ability to comprehend complexities involved with their care, and impact of medical costs related to end-of-life care decisions were explored. METHODS: Attendees of two Mayo Clinic continuing medical education courses were surveyed. Three scenarios based in part on previously court-litigated matters assessed impact of external factors and perceived patient preferences on physician compliance with patient-articulated wishes regarding resuscitation. General questions measured respondents' perception of legal risk, concerns over patient knowledge of idiosyncrasies involved with their care, and impact medical costs may have on compliance with patient preferences. Responses indicating strength of agreement or disagreement with statements were treated as ordinal data and analyzed using the Cochran Armitage trend test. RESULTS: Three hundred eighty-eight of 951 surveys were completed (41% response rate). Eighty percent reported they were likely to honor a patient's AD despite its 5 year age. Fewer than half (41%) would honor the AD of a patient in ventricular fibrillation who had expressed a desire to "pass away in peace." Few (17%) would forgo an AD following a family's request for continued resuscitative treatment. A majority (52%) considered risk of liability to be lower when maintaining someone alive against their wishes than mistakenly failing to provide resuscitative efforts. A large percentage (74%) disagreed that patients could not appreciate complexities surrounding their care while 69% agreed that costs should never impact a physician's decision as to whether to comply with a patient's AD. CONCLUSIONS: Our findings highlight the impact, albeit small, external factors have on physician AD compliance. Most respondents based their decision on the clinical situation at hand and interpretation of the patient's initial wishes and preferences expressed by the AD.
BMC Medical Ethics 11/2012; 13(1):31. · 1.74 Impact Factor
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ABSTRACT: This article reports the results of a study of anesthesiologists to assess their concerns regarding medical malpractice liability risk. Specifically, it explored whether their fears stem more from being named as a party to a suit or from the financial impact of damage awards. According to the respondents, their reputation among patients and colleagues is of greater concern than the financial impact of a malpractice suit. Forty-six percent of the 149 respondents reported a constant fear of malpractice risk; 43% were concerned about their reputation among colleagues and 57% feared their reputation would be compromised among patients. A large majority voiced concern about potential inclusion in the National Practitioner Data Bank (83%) and their rankings on online physician-grading sites (85%). Forty-one percent said financial consequences were a concern, and 54% indicated that obtaining affordable liability coverage was an issue.
Minnesota medicine 09/2012; 95(9):46-50.
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ABSTRACT: ABSTRACT BACKGROUND:There are few comparisons between the most recent versions of the major adult intensive care unit (ICU) prognostic systems (APACHE IV, SAPS 3, MPM(0)III). Only MPM(0)III includes resuscitation status as a predictor. METHODS:We assessed the discrimination, calibration and overall performance of the models in 2596 patients in three ICUs at our tertiary referral center in 2006. For APACHE and SAPS, the analyses were repeated with and without inclusion of resuscitation status as a predictor variable. RESULTS:Of the 2596 patients studied, 283 (10.9%) died before hospital discharge. The AUCs (95% confidence interval) of the models for prediction of hospital mortality were 0.868 (0.854-0.880), 0.861 (0.847-0.874), 0.801 (0.785-0.816), and 0.721 (0.704-0.738) for APACHE III, APACHE IV, SAPS 3 and MPM(0)III, respectively. The Hosmer Lemeshow statistics (HLSs) for the models were 33.7, 31.0, 36.6, and 21.8, for APACHE III, APACHE IV, SAPS 3, and MPM(0)III, respectively. Each of the HLSs generated p values < 0.05, indicating poor calibration. Brier scores for the models were 0.0771, 0.0749, 0.0890, and 0.0932, respectively. There were no significant differences between the discriminative ability or the calibration of APACHE or SAPS with and without DNR status. CONCLUSIONS:APACHE III and IV had similar discriminatory capability, both better than SAPS 3, which was better than MPM(0)III. The calibrations of the models studied were poor. Overall, models with more predictor variables performed better than those with fewer. The addition of resuscitation status did not improve APACHE III or IV or SAPS 3 prediction.
Chest 04/2012; · 5.25 Impact Factor
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ABSTRACT: Candida species, including Candida glabrata (CG), are common causes of bloodstream infections among intensive care unit (ICU) patients. Many CG isolates have decreased susceptibility to fluconazole. Constructing a scoring model of factors associated with CG candidemia in ICU patients that can be used if fluconazole susceptibility testing is not readily available. We identified patients with candidemia that were admitted to the ICU of the Mayo Clinic in Rochester, Minnesota from 1998 to 2006. Using patient demographical and clinical data abstracted via chart review, a multivariable logistic regression model was developed to distinguish those with CG candidemia. We identified 246 patients with candidemia including 68 CG cases. Multivariable analysis identified four independent factors associated with CG candidemia: absence of renal failure, less than 7 days in the hospital, abdominal surgery and fluconazole use. The predictive ability of the model, based on the c-statistic, was 0.727. In a large ICU cohort, a scoring model that included four risk factors, which are readily ascertainable at the bedside, was created to distinguish candidemia due to CG from other causes of candidemia. The identification of risk factors associated with CG candidemia could aid physicians in the selection of the optimal initial antifungal therapy.
Mycoses 07/2011; 55(3):228-36. · 2.25 Impact Factor
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ABSTRACT: Adult intensive care unit prognostic models have been used for predicting patient outcome for three decades. The goal of this review is to describe the different versions of the main adult intensive care unit prognostic models and discuss their potential roles.
PubMed search and review of the relevant medical literature.
The main prognostic models for assessing the overall severity of illness in critically ill adults are Acute Physiology and Chronic Health Evaluation, Simplified Acute Physiology Score, and Mortality Probability Model. Simplified Acute Physiology Score and Mortality Probability Model have been updated to their third versions and Acute Physiology and Chronic Health Evaluation to its fourth version. The development of prognostic models is usually followed by internal and external validation and performance assessment. Performance is assessed by area under the receiver operating characteristic curve for discrimination and Hosmer-Lemeshow statistic for calibration. The areas under the receiver operating characteristic curve of Simplified Acute Physiology Score 3, Acute Physiology and Chronic Health Evaluation IV, and Mortality Probability Model0 III were 0.85, 0.88, and 0.82, respectively, and all these three fourth-generation models had good calibration. The models have been extensively used for case-mix adjustment in clinical research and epidemiology, but their role in benchmarking, performance improvement, resource use, and clinical decision support has been less well studied.
The fourth-generation Acute Physiology and Chronic Health Evaluation, Simplified Acute Physiology Score 3, Acute Physiology and Chronic Health Evaluation IV, and Mortality Probability Model0 III adult prognostic models, perform well in predicting mortality. Future studies are needed to determine their roles for benchmarking, performance improvement, resource use, and clinical decision support.
Critical care medicine 01/2011; 39(1):163-9. · 6.37 Impact Factor
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ABSTRACT: Over 500 million of the current world population will die from diseases caused by smoking cigarettes. The symptoms and signs of nicotine withdrawal are not well described in the critically ill. Since the various conditions of critical illness may lead to clinical manifestations mimicking nicotine withdrawal, describing its specific manifestations may not be easy. A few case reports suggest that nicotine replacement therapy may ameliorate nicotine withdrawal in the critically ill. However, retrospective studies have found that it may increase mortality. Despite the abundance of active smokers, there is a paucity of data describing nicotine withdrawal, and its prevention and treatment options in the critically ill. Future studies are warranted to address these issues.
Critical care (London, England) 05/2010; 14(3):155. · 4.61 Impact Factor
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ABSTRACT: To present current knowledge about the metabolic management of patients undergoing solid organ transplantation, and potential organ donors.
Appropriate management of electrolytes and glucose improves outcome after transplantation, although conflicting evidence exists. Patients with cirrhosis-induced hyponatremia can be successfully transplanted but are at increased risk of postoperative complications. A new class of drugs, the vaptans, that antagonizes arginine vasopressin may be an effective treatment for hyponatremia in transplant candidates. Recent literature has documented the implications, predictors and potential therapies for perioperative hyperkalemia in the transplant population. The debate over appropriate targets for serum glucose in perioperative and critically ill patients has been lively. The documented risk of hypoglycemia associated with 'intensive insulin therapy' has led to the adoption of more conservative glycemic targets. Studies of glycemic control in transplant recipients are limited.
In patients undergoing solid organ transplants, sodium management should aim to minimize an acute change in sodium concentration. Vaptans may be of future use in optimizing patients with cirrhosis prior to transplantation. Pending further studies, a perioperative 'middle ground' target glucose of between 140 and 180 mg/dl seems reasonable at this time.
Current opinion in organ transplantation 03/2010; 15(3):383-9. · 1.22 Impact Factor
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ABSTRACT: We identified all total knee arthroplasty patients between 1996 and 2004 and classified them by preoperative body mass index (BMI) as normal (BMI, 18.5-24.9 kg/m(2)), overweight (BMI, 25.0-29.9 kg/m(2)), obese (30-34.9 kg/m(2)), or morbidly obese (≥ 35.0 kg/m(2)). Of 5521 patients, 769 had a normal BMI, 1938 were overweight, 1539 were obese, and 1275 were morbidly obese. Adjusted length of stay was no different between normal (4.85 days), overweight (4.84 days), obese (4.86 days), or morbidly obese patients (4.93 days) (P = .30). Overall costs were similar among normal ($15,386), overweight ($15,430), obese ($15,646), or morbidly obese patients ($15,752) (P = .24). Postsurgical costs were no different among normal ($9860), overweight ($9889), obese ($10,063), or morbidly obese patients ($10,136) (P = .44). Our results suggest that increased BMI does not lead to increased hospital resource use for total knee arthroplasty.
The Journal of arthroplasty 02/2010; 25(8):1250-7.e1. · 1.79 Impact Factor
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ABSTRACT: No previous study has evaluated the association between admission to ICUs during round time and patient outcome. The objective of this study was to determine the association between round-time ICU admission and patient outcome.
This retrospective study included 49,844 patients admitted from October 1994 to December 2007 to four ICUs (two surgical, one medical, and one multispecialty) of an academic medical center. Of these patients, 3,580 were admitted to the ICU during round time (8:00 am to 10:59 am) and 46,264 were admitted during nonround time (from 1:00 pm to 6:00 am). The medical ICU had 24-h/7-day per week intensivist coverage during the last 2 years of the study. We compared the baseline characteristics and outcome of patients admitted to the ICU between the two groups. Data were abstracted from the acute physiology and chronic health evaluation (APACHE) III database.
The round-time and non-round-groups were similar in gender, ethnicity, and age. The predicted hospital mortality rate of the round time group was higher (17.4% vs 12.3% predicted, respectively; p < 0.001). The hospital length of stay was similar between the two groups. The round-time group had a higher hospital mortality rate (16.2% vs 8.8%, respectively; p < 0.001). Most of the round-time ICU admissions and deaths occurred in the medical ICU. Round-time admission was an independent risk factor for hospital death (odds ratio, 1.321; 95% CI, 1.178 to 1.481). This independent association was present for the whole study period except for the last 2 years.
Patients admitted to the ICU during morning rounds have higher severity of illness and mortality rates.
Chest 06/2009; 136(6):1489-95. · 5.25 Impact Factor
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ABSTRACT: To determine the impact of BMI on post-operative outcomes and resource utilization following elective total hip arthroplasty (THA).
A retrospective cohort analysis on all primary elective THA patients between 1996 and 2004. Primary outcomes investigated using regression analyses included length of stay (LOS) and costs (US dollars).
Mayo Clinic Rochester, a tertiary care centre.
Patients were stratified by pre-operative BMI as normal (18.5-24.9 kg/m(2)), overweight (25.0-29.9 kg/m(2)), obese (30.0-34.9 kg/m(2)) and morbidly obese (> or =35.0 kg/m(2)). Of 5642 patients, 1362 (24.1 %) patients had a normal BMI, 2146 (38.0 %) were overweight, 1342 (23.8 %) were obese and 792 (14.0 %) were morbidly obese.
Adjusted LOS was similar among normal (4.99 d), overweight (5.00 d), obese (5.02 d) and morbidly obese (5.17 d) patients (P = 0.20). Adjusted overall episode costs were no different (P = 0.23) between the groups of normal ($17,211), overweight ($17,462), obese ($17,195) and morbidly obese ($17,655) patients. Overall operative and anaesthesia costs were higher in the morbidly obese group ($5688) than in normal ($5553), overweight ($5549) and obese ($5593) patients (P = 0.03). Operating room costs were higher in morbidly obese patients ($3418) than in normal ($3276), overweight ($3291) and obese ($3340) patients (P < 0.001). Post-operative costs were no different (P = 0.30). Blood bank costs differed (P = 0.002) and were lower in the morbidly obese group ($180) compared with the other patient groups (P < 0.05). Other differences in costs were not significant. Morbidly obese patients were more likely to be transferred to a nursing home (24.1 %) than normal (18.4 %), overweight (17.9 %) or obese (16.0 %) patients (P = 0.001 each). There were no differences in the composite endpoint of 30 d mortality, re-admissions, re-operations or intensive care unit utilization.
BMI in patients undergoing primary elective THA did not impact LOS or overall institutional acute care costs, despite higher operative costs in morbidly obese patients. Obesity does not increase resource utilization for elective THA.
Public Health Nutrition 03/2009; 12(8):1122-32. · 2.17 Impact Factor
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ABSTRACT: We retrospectively compared resource use of 2 groups of patients who underwent total hip arthroplasty between 1996 and 2004: those cared for on specialized orthopedic surgery (SOS) units and those cared for on nonorthopedic nursing (NON) units. Of 5546 patients, 5275 (95.1%) were admitted to SOS units and 271 (4.9%) to NON units. Mean overall adjusted cost saving for SOS patients was $622 (SD, $315; 95% CI, $3, $1241). Mean blood bank and room-and-board costs were lower on SOS units: $110 (SD, $36; 95% CI, $40, $181) and $298 (SD, $118; 95% CI, $66, $530), respectively. Difference in length of stay was not significant: mean, 0.19 day; SD, 0.11 day; 95% CI, -0.02 day, 0.40 day. Our results suggest that SOS units, as one way of optimizing patient flow in the postoperative period, may reduce unnecessary inpatients costs.
American journal of orthopedics (Belle Mead, N.J.) 02/2009; 38(1):E5-11.
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ABSTRACT: To determine the existence of referral bias in the critically ill by comparing the clinical and epidemiologic characteristics of community (Olmsted County, MN residents) and referral (non-Olmsted County residents) patients admitted to the intensive care unit.
Retrospective, cohort study.
Academic tertiary care medical center.
Patients admitted to the medical and surgical intensive care units at Mayo Medical Center from 1995 to 2004.
None.
Residency status, demographics, Acute Physiology and Chronic Health Evaluation III score, intensive care unit admission diagnosis and treatment status, intensive care unit and hospital mortality, length of stay, and travel distances to Mayo Clinic. Referral patients with a medical intensive care unit admission were more severely ill, had greater mortality rates and length of stay and were more likely to receive an active intensive care unit intervention compared with community patients (p < 0.0001). Referral and community patients who had a surgical intensive care unit admission had similar severity of illness, length of stay, and intensive care unit mortality rate. Hospital mortality rate was lower in the referral surgical patients compared with community surgical patients (p = 0.0001). When adjusted for severity of illness, intensity of treatment, and admission source, community and referral medical intensive care unit patients had a similar risk of hospital death, whereas referral surgical patients had a lower risk of hospital death compared with community patients. Referral patients who had a medical intensive care unit admission and traveled greater distances to Mayo Clinic had greater mortality rates and length of stay; those who had a surgical intensive care unit admission and traveled greater distances had lower mortalities and length of stay.
Patients who resided outside of our local community and who had medical admissions to the intensive care unit were more severely ill, had greater mortality rates, and had longer length of stay compared with community patients. Our findings support the existence of referral bias in critically ill medical patients at our tertiary medical center.
Critical care medicine 11/2008; 36(10):2779-86. · 6.37 Impact Factor
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ABSTRACT: To investigate the performance of the Acute Physiology and Chronic Health Evaluation (APACHE) III scoring system in patients admitted to the intensive care unit (ICU) after major vascular surgery.
Retrospective cohort study.
A tertiary referral center.
Three thousand one hundred forty-eight patients who underwent major vascular surgery between October 1994 and March 2006.
None.
Data were abstracted from an institutional APACHE III database. Standardized mortality ratios (SMRs) (with 95% confidence intervals) were calculated. The area under the receiver operating characteristic curve (AUC) and Hosmer-Lemeshow C statistic were used to assess discrimination and calibration, respectively. The mean age of 3,148 patients studied was 70.5 years (+/- standard deviation 9.6). The mean Acute Physiology Score and the APACHE III score on the day of ICU admission were 31.0 (+/- 17.5) and 45.1 (+/- 18.8), respectively. The mean predicted ICU and hospital mortality rates were 3.2% (+/- 7.8%) and 5.0% (+/- 9.5%), respectively. The median (and interquartile range) ICU and hospital lengths of stay were 4.3 (3.6-5.1) and 14 days (11.9-16.8 days), respectively. The observed ICU mortality rate was 2.4% (75/3, 148 patients) and hospital mortality rate was 3.7% (116/3,148). The ICU and hospital SMRs were 0.74 (0.58-0.91) and 0.74 (0.61-0.88), respectively. The AUC of APACHE III-derived prediction of hospital mortality was 0.840 (95% confidence interval, 0.799-0.880), indicating excellent discrimination. The Hosmer-Lemeshow C statistic was 28.492, with a p value <0.01, indicating poor calibration.
The APACHE III scoring system discriminates well between survivors and nonsurvivors after major vascular surgery, but calibration of the model is poor.
Journal of cardiothoracic and vascular anesthesia 10/2008; 22(5):713-8. · 1.06 Impact Factor
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ABSTRACT: To determine the impact of nighttime transfer of patients from the intensive care unit (ICU) on clinical outcome.
Retrospective, observational.
Three intensive care units of a tertiary care medical center.
We used prospectively collected information from the Acute Physiology and Chronic Health Evaluation III database of 11,659 patients transferred from the ICU to the regular ward.
None.
Based on the time of transfer, patients who were transferred from the ICU to the regular ward were categorized into daytime (7:00 am-6:59 pm) and nighttime (7:00 pm-6:59 am) transfers. Patients who were transferred to other ICUs or other facilities, died in the ICU, were discharged home, or did not authorize their medical records to be reviewed for research were excluded. Only the first ICU admission of each patient was considered for outcome analysis. Of the 11,659 study patients, 418 (3.6%) were transferred at night. The first ICU day predicted mortality rate and the last ICU day Acute Physiology Score and Acute Physiology and Chronic Health Evaluation III scores in the nighttime transfer group were higher compared with the daytime transfers. The hospital mortality rate of the nighttime transfers was 5.3% compared with 4.5% of the daytime transfers (p = 0.478). There was no statistically significant difference between the two groups in severity adjusted hospital mortality rate. The ICU readmission rate of the nighttime transfers was higher (12.2% compared with 9.0%, p = 0.027) and the median (interquartile range) hospital length of stay longer (8 [5-15] vs. 7 [4-13] days, p = 0.013) compared with the daytime transfer group.
Our study did not find an association between nighttime ICU discharge and hospital mortality. However, the ICU readmission rate was higher and the hospital length of stay longer in the nighttime transfer group.
Critical care medicine 09/2008; 36(8):2232-7. · 6.37 Impact Factor
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ABSTRACT: To determine the effect of the introduction of a specialty-specific progressive care unit (PCU) on the intensive care unit (ICU) to which relatively low-acuity patients had previously been admitted.
Retrospective cohort study.
The thoracic (noncardiac) surgical ICU of a tertiary referral institution.
Four thousand fifty-three patients admitted to the ICU after thoracic surgery between October 1994 and December 2003.
None.
The institutional Acute Physiology and Chronic Health Evaluation (APACHE) III database was searched to compare the number of admissions, severity of illness, mortality, and other aspects of care for periods before and after the introduction of the PCU. Patients in the post-PCU group were more severely ill by APACHE criteria. The ICU mortality rates for the periods before and after the introduction of the PCU were 1.14% (32/2,801 patients) and 7.27% (91/1,252 patients), respectively. The performance of the ICU appeared to be worse in the period after the opening of the PCU. The ICU- and hospital-customized standardized mortality ratio increased from 0.68 (95% confidence interval [CI], 0.47-0.96) in the pre-PCU group to 1.20 (95% CI, 0.96-1.47) in the post-PCU group and from 0.83 (95% CI, 0.66-1.03) to 1.24 (95% CI, 1.05-1.46).
The introduction of a nonintensivist-directed PCU to care for thoracic surgical patients had a significant impact on the parent ICU. Of concern is that outcome and quality measures appeared to worsen and ICU readmission rate increased.
Journal of cardiothoracic and vascular anesthesia 07/2008; 22(3):347-53. · 1.06 Impact Factor
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ABSTRACT: The use of specialized orthopedic surgery (SOS) units in total knee arthroplasty (TKA) patients is well established. The number and costs of arthoplasty surgeries continue to increase, requiring institutions to reexamine their existing practices for financial sustainability.
The objective of this study was to determine whether having elective TKA patients in SOS units affects resource utilization and outcomes.
The study was designed to retrospectively compare elective TKA patients from 1996 to 2004 admitted directly to SOS units with those admitted to nonorthopedic nursing (NON) units.
The setting was an academic teaching hospital.
Five thousand five hundred and thirty-four patients met inclusion criteria. Of these, 5082 (patients 91.8%) were admitted to SOS units and 452 (8.2%) to NON units.
The primary outcomes measured were length of stay (LOS) and costs, adjusted for age, sex, surgical year, comorbidities, and American Society of Anesthesiologists status. Secondary outcomes were 30-day mortality, readmissions, reoperations, and discharge disposition.
Mean age of the patients in SOS and NON units was 68.3 and 67.9 years, respectively (P = .50). Adjusted LOS was 0.234 days shorter in SOS units (95% CI: 0.083, 0.385). Adjusted total and hospital cost savings in the SOS unit group were $600 (95% CI: $122, $1079) and $594 (95% CI: $141, $1047), respectively. More NON-unit patients required unanticipated transfers to the intensive care unit (ICU) from the general postoperative nursing unit (3.1% vs. 1.63%; P = .023); however, the mean number of ICU days did not differ between groups. NON-unit patients were more likely to be discharged with home health care (P < .001). There were no differences in 30-day outcomes.
Patients on SOS units following elective TKA have a reduced LOS and decreased total and hospital costs. Our results should encourage hospitals to reevaluate postoperative patient flow to optimize resource utilization.
Journal of Hospital Medicine 06/2008; 3(3):218-27. · 1.40 Impact Factor
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ABSTRACT: To establish the frequency of intensive care unit (ICU) admission after esophagectomy and to determine the associated outcomes.
Retrospective cohort study.
Tertiary referral center.
Four hundred thirty-two patients who underwent esophagectomy between January 2000 and June 2004.
None
Data relating to demographics, patient co-morbidities, perioperative management, complications, and Acute Physiology and Chronic Health Evaluation (APACHE) III variables were abstracted. Statistical analyses were performed to compare survivors with non-survivors and ICU patients with non-ICU patients. Of 432 patients included in the study, 123 (28.5%) were admitted to the ICU. Arrhythmias, new infiltrates on chest radiograph, and documented aspiration were common reasons for ICU admission. Patients admitted to ICU were of high acuity (mean APACHE III score 54.5, mean prediction of ICU death 6.4%). Of 352 patients originally not sent to the ICU, 43 (12.2%) were subsequently admitted to the ICU, often for aspiration. Overall in-hospital mortality was 3.7% (16 of 432 patients). Fifteen of the 123 ICU patients (12.2%) did not survive to hospital discharge.
A significant minority of patients will require ICU admission after esophagectomy, often for aspiration pneumonitis and arrhythmias. Despite high severity of illness scores, the perioperative mortality rate for patients after esophagectomy at a high-volume center is low.
Journal of cardiothoracic and vascular anesthesia 06/2008; 24(3):440-6. · 1.06 Impact Factor
