Spinal cord ischemia (SCI) after thoracic endovascular aortic repair (TEVAR) can cause permanent neurologic deficits and poor long-term survival. Targeted treatment of new SCI symptoms after TEVAR ...(rescue therapy RT) might improve/resolve neurologic symptoms but few data characterize the association of specific interventions with SCI outcomes. We evaluated the effectiveness of post-TEVAR RT at our tertiary aortic center.
Our institutional TEVAR database was reviewed for SCI incidence and details of RT. This included cerebrospinal fluid drainage (CSFD), medical therapy, and optimization of spinal cord oxygen delivery. SCI outcomes were categorized at discharge as paralysis/paraparesis and temporary/permanent.
Nine hundred forty-three TEVAR procedures were performed in 869 patients from 2011 to 2020. Post-TEVAR SCI occurred in 7.8% (n = 74) with permanent paraplegia in 1.5%. Older patient age, chronic obstructive pulmonary disease, and previous abdominal aortic surgery were predictive of SCI. Half (n = 37) of SCI episodes resulted in only temporary paralysis/paraparesis. Rescue postoperative cerebrospinal fluid drains were implanted in 3.7% (n = 35) of procedures and was predicted by higher American Society of Anesthesiologists class, lower serum hemoglobin level, elevated international normalized ratio, bilateral iliac artery occlusion, nonelective procedures, and penetrating atherosclerotic ulcer/intramural hematoma indication. The most commonly used RTs were emergent placement of or increased drainage from an existing cerebrospinal fluid drain (87.8%), induced/permissive hypertension (77.0%), corticosteroid bolus (36.5%), and naloxone infusion (33.8%). Neurologic improvement occurred in 68.9% (n = 51/74). New/increased drainage was associated with improved SCI outcome.
Permanent paraplegia from post-TEVAR SCI is rare (1.5%). Older patients with comorbidities carry greater post-TEVAR SCI risk. SCI symptoms improved/resolved with CSFD and multimodal RT in 68.9% of patients, but no intervention was independently associated with improvement. TEVAR centers should have robust protocols for timely and safe CSFD placement to augment RT strategies for SCI.
Display omitted
Models that predict postoperative complications often ignore important intraoperative events and physiological changes. This study tested the hypothesis that accuracy, discrimination, and precision ...in predicting postoperative complications would improve when using both preoperative and intraoperative data input data compared with preoperative data alone.
This retrospective cohort analysis included 43,943 adults undergoing 52,529 inpatient surgeries at a single institution during a 5-y period. Random forest machine learning models in the validated MySurgeryRisk platform made patient-level predictions for seven postoperative complications and mortality occurring during hospital admission using electronic health record data and patient neighborhood characteristics. For each outcome, one model trained with preoperative data alone; one model trained with both preoperative and intraoperative data. Models were compared by accuracy, discrimination (expressed as area under the receiver operating characteristic curve), precision (expressed as area under the precision-recall curve), and reclassification indices.
Machine learning models incorporating both preoperative and intraoperative data had greater accuracy, discrimination, and precision than models using preoperative data alone for predicting all seven postoperative complications (intensive care unit length of stay >48 h, mechanical ventilation >48 h, neurologic complications including delirium, cardiovascular complications, acute kidney injury, venous thromboembolism, and wound complications), and in-hospital mortality (accuracy: 88% versus 77%; area under the receiver operating characteristic curve: 0.93 versus 0.87; area under the precision-recall curve: 0.21 versus 0.15). Overall reclassification improvement was 2.4%-10.0% for complications and 11.2% for in-hospital mortality.
Incorporating both preoperative and intraoperative data significantly increased the accuracy, discrimination, and precision of machine learning models predicting postoperative complications and mortality.
This study sought to identify the factors associated with the occurrence of in-hospital serious adverse events after elective endovascular aortic repair (EVAR) in older patients within the Global ...Registry for Endovascular Aortic Treatment.
Consecutive patients ages ≥75 years who received GORE EXCLUDER AAA Endoprosthesis (W.L. Gore & Associates, Inc, Flagstaff, AZ) for elective EVAR. Based on the age at index elective EVAR, patients were categorized into 3 groups for subsequent analyses: those ages 75 to 79, 80 to 84, and ≥85 years. The primary end points for this study were the incidence of serious adverse events and all-cause mortality. In-hospital complications were defined according to the International Organization for Standardization 14155 standard (https://www.iso.org/standard/71690.html) and considered serious adverse events if they led to any of the following: (1) a life-threatening illness or injury, (2) a permanent impairment of a body structure or a body function, (3) in-patient or prolonged hospitalization, or (4) medical or surgical intervention to prevent life-threatening illness or injury or permanent impairment to a body structure or a body function.
Overall, 1,333 older patients (ages 75–79: n = 601; 80–84: n = 474; and ≥85: n = 258) underwent elective EVAR in the Global Registry for Endovascular Aortic Treatment data set and were included in the present analysis. In total, 12 patients (0.9%) died perioperatively, and 103 patients (7.7%) experienced ≥1 in-hospital serious adverse event, with 18 patients (1.3%) experiencing >1 in-hospital complications. No significant differences were seen between the age groups in the rates of in-hospital serious adverse events (7.3% vs 8.2% vs 7.8%; P = .86). In logistic regression analysis, a history of chronic obstructive pulmonary disease (odds ratio = 2.014; 95% confidence interval, 1.215–3.340; P = .006) and prior requirement for dialysis (odds ratio = 4.655; 95% confidence interval, 1.087–19.928; P = .038) resulted as predictors for occurrence of in-hospital serious adverse events. In the whole cohort, the 5-year survival was 63% for patients who did not experience any in-hospital serious adverse events compared with 51% for those who experienced any complications (P = .003). Using multivariable Cox proportional hazards models, it was found that the occurrence of in-hospital serious adverse events (hazard ratio = 6.2; 95% confidence interval, 1.8–21.317; P = .003) and being underweight (hazard ratio = 7.0; 95% confidence interval, 1.371–35.783; P = .019) were the only independent predictors of death in ≤30 days from the initial intervention. Although age did not independently affect the risk for all-cause mortality in ≤180 days after the initial intervention, increasing age was associated with a higher risk for long-term death (ie, ≥181 days from index elective EVAR) in the multivariable analysis (ages 75–79: hazard ratio = 0.379; 95% confidence interval, 0.281–0.512; P < .001; and 80–84: hazard ratio = 0.562; 95% confidence interval, 0.419–0.754; P < .001).
After elective EVAR in older patients (ie, ≥75 years), the occurrence of in-hospital serious adverse events appears to increase the risk of death, particularly in ≤180 days after the initial elective EVAR intervention, and might be related to patient baseline characteristics, including history of pulmonary and renal disease.
Health literacy is a crucial aspect of informed decision-making, and limited health literacy has been associated with worse health care outcomes. To date, health literacy has not been examined in ...vascular surgery patients. Therefore, we conducted a prospective observational study to determine the prevalence and factors associated with poor health literacy in vascular surgery patients.
The Newest Vital Sign (Pfizer, New York, NY), a validated instrument, was used to appraise the health literacy of 150 patients who visited the outpatient vascular clinic at UF Health Shands Hospital between April 2022 and August 2022. Patients who scored a 4 (out of 6) or higher were classified as having adequate health literacy. Each study participant also completed a sociodemographic questionnaire.
In total, 82 out of the 150 (54%) patients we screened had limited health literacy. The prevalence of limited health literacy varied and was independently associated with increased age (odds ratio 1.06; 95% 1.02 to 1.10, P = .004), having not attended college (high school diploma versus college+ odds ratio 3.5; 95% 1.26 to 10.1, P = .018), and African American race (odds ratio 5.3; 95% 1.59 to 22.3, P = .012). A total of 83% of African American patients had limited health literacy, compared to 49% of Asian and White patients.
Most vascular surgery patients have limited health literacy. Increased age, fewer years of education, and African American race were associated with limited health literacy. Physicians caring for patients with lower health literacy should investigate and use communication strategies tailored to patients with limited health literacy.
The Society for Vascular Surgery Vascular Quality Initiative (VQI) has become an increasingly popular data source for retrospective observational vascular surgery studies. There are published ...guidelines on the reporting of data in such studies to promote transparency and rigor, but these have not been used to evaluate studies using VQI data. Our objective was to appraise the methodological reporting quality of studies using VQI data by evaluating their adherence to these guidelines.
The Society for Vascular Surgery VQI publication repository was queried for all articles published in 2020. The REporting of studies Conducted using Observational Routinely-collected Health Data (RECORD) statement and the Journal of American Medical Association-Surgical Section (JAMA-Surgery) checklist were utilized to assess the quality of each article's reporting. Five and three items from the RECORD statement and JAMA-Surgery checklist were excluded, respectively, because they were either inapplicable or nonassessable. Journal impact factor (IF) was queried for each article to elucidate any difference in reporting standards between high and low IF journals.
Ninety studies were identified and analyzed. The median score on the RECORD checklist was 6 (of 8). The most commonly missed item was discussing data cleaning methods (93% missed). The median score on the JAMA-Surgery checklist was 3 (of 7). The most commonly missed items were the identification of competing risks (98% missed), the use of a flow chart to clearly define sample exclusion and inclusion criteria (84% missed), and the inclusion of a solid research question and hypothesis (81% missed). There were no differences in JAMA-Surgery checklist or RECORD statement median scores among studies published in low vs high IF journals.
Studies using VQI data demonstrate a poor to moderate adherence to reporting standards. Key areas for improvement in research reporting include articulating a clear hypothesis, using flow charts to clearly define inclusion and exclusion criteria, identifying competing risks, and discussing data cleaning methods. Additionally, future efforts should center on creating tailored instruments to better guide reporting in studies using VQI data.
Abstract
OBJECTIVES
The aim of this study was to evaluate the short- to mid-term outcomes of descending thoracic aortic aneurysm (DTAA) repair from the Gore Global Registry for Endovascular Aortic ...Treatment (GREAT).
METHODS
This is a multicentre sponsored prospective observational cohort registry. The study population comprised those treated for DTAA receiving GORE thoracic aortic devices for DTAA repair between August 2010 and October 2016. Major primary outcomes were early and late survival, freedom from aorta-related mortality and freedom from aorta-related reintervention.
RESULTS
There were 180 (58.1%) males and 130 (41.9%) females: the mean age was 70 ± 11 years (range 18–92). The median maximum DTAA diameter was 60 mm (interquartile range 54–68.8). Technical success was achieved in all patients. Operative mortality, as well as immediate conversion to open repair, was never observed. At the 30-day window, mortality occurred in 4 (1.3%) patients, neurological events occurred in 4 (1.3%) patients (transient ischaemic attacks/stroke n = 3, paraplegia n = 1) and the reintervention rate was 4.5% (n = 14). Estimated survival was 95.6% 95% confidence interval (CI) 92.6–97.4 at 6 months, 92.7% (95% CI 89.1–95.2) at 1 year and 57.3% (95% CI 48.5–65.1) at 5 years. Freedom from aorta-related mortality was 98.3% (95% CI 96.1–99.3) at 6 months, 98.3% (95% CI 96.1–99.3) at 1 year and 92.2% (95% CI 83.4–96.4) at 5 years. Freedom from thoracic endovascular aortic repair (TEVAR)-related reintervention at 5 years was 87.2% (95% CI 81.2–91.4).
CONCLUSIONS
TEVAR for DTAAs using GORE thoracic aortic devices is associated with a low rate of device-related reinterventions and is effective at preventing aorta-related mortality for up to 5 years of follow-up.
Clinical registration number
NCT number: NCT01658787.
Subject collection
161, 164.
Thoracic endovascular aortic repair (TEVAR) has been proven to have substantial early benefits in terms of perioperative morbidity and mortality and is at least as effective in preventing aortic-related death (ARM) as open surgical repair for descending thoracic aortic aneurysms (DTAA) 1–4.
Operating rooms contribute up to 70% of total hospital waste. Although multiple studies have demonstrated reduced waste through targeted interventions, few examine processes. This scoping review ...highlights methods of study design, outcome assessment, and sustainability practices of operating room waste reduction strategies employed by surgeons.
Embase, PubMed, and Web of Science were screened for operating room-specific waste-reduction interventions. Waste was defined as hazardous and non-hazardous disposable material and energy consumption. Study-specific elements were tabulated by study design, evaluation metrics, strengths, limitations, and barriers to implementation in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines.
A total of 38 articles were analyzed. Among them, 74% of studies had pre- versus postintervention designs, and 21% used quality improvement instruments. No studies used an implementation framework. The vast majority (92%) of studies measured cost as an outcome, whereas others included disposable waste by weight, hospital energy consumption, and stakeholder perspectives. The most common intervention was instrument tray optimization. Common barriers to implementation included lack of stakeholder buy-in, knowledge gaps, data capture, additional staff time, need for hospital or federal policies, and funding. Intervention sustainability was discussed in few studies (23%) and included regular waste audits, hospital policy change, and educational initiatives. Common methodologic limitations included limited outcome evaluation, narrow scope of intervention, and inability to capture indirect costs.
Appraisal of quality improvement and implementation methods are critical for developing sustainable interventions for reducing operating room waste. Universal evaluation metrics and methodologies may aid in both quantifying the impact of waste reduction initiatives and understanding their implementation in clinical practice.
Acute aortic syndromes (AASs) are prone to misdiagnosis by facilities with limited diagnostic experience. We assessed long-term trends in misdiagnosis among patients transferred to a tertiary care ...facility with presumed AASs.
Our institutional transfer center database was queried for emergency transfers in patients with a diagnosis of AASs or thoracic aortic aneurysm between January 2008 and May 2018. There were 784 patients classified as emergency transfer for presumed AAS. Transferring diagnosis and actual diagnosis were compared through a review of physician notes and radiology reports from referring facilities and our center.
Mean age was 62 years, with 478 (61%) men. Differences in transferring diagnosis and actual diagnosis were identified in 89 patients (11.4%). Among misdiagnosed patients, the wrong classification of Stanford type A or type B dissections was identified among 24 patients (27%). No dissection was found in 23 patients (26%) with a referring diagnosis of aortic dissection. No signs of rupture were found in 18 patients (20%) transferred for contained/impending rupture. All misdiagnoses were secondary to misinterpretation of radiographic imaging, with motion artifacts in 14 (16%) and postsurgical changes in 22 (25%) being common sources of diagnostic error. Repeat scans were performed in 64 patients (72%) at our facility due to limited access to or suboptimal quality of outside imaging.
Although AASs misdiagnosis rates appear to be improving from the prior decade, there are opportunities for improved physician awareness through campaigns such as “Think Aorta.” Centralized web-based imaging may prevent the costly hazards of unnecessary emergency transfer.
Traditionally, acute uncomplicated type B aortic dissections are managed medically, and acute complicated dissections are managed surgically. Self-pay patients with medically managed acute ...uncomplicated type B aortic dissections may fare worse than their insured counterparts.
In this single-center, retrospective cohort study, demographics, follow-up, and outcomes of patients with acute type B aortic dissections from 2011 to 2020 were analyzed.
In total, 159 patients presented with acute type B aortic dissections; 102 were complicated and managed with thoracic endovascular aortic repair, and 57 were uncomplicated and managed medically. A total of 32% (n = 51) were self-pay. Self-pay patients were from areas with worse area deprivation indices (71% vs 63%, P = .024). They more often reported alcohol abuse (28% vs 7%, P < .001), cocaine/methamphetamine use (16% vs 5%, P = .028), and nonadherence to home antihypertensives (35% vs 11%, P < .001). Self-pay patients less often had a primary care physician (65% vs 7%, P < .001) or took antihypertensives before admission (31% vs 58%, P = .003). Self-pay patients frequently required financial assistance at discharge (63%), most often using charity funds (46%). Few patients (7%) qualified for our hospital's financial assistance program, and most (78%) remained uninsured at the first follow-up. Self-pay acute uncomplicated type B aortic dissections patients had the lowest rate of follow-up (31% vs 66%, P < .001) and were more likely to represent emergently (75% vs 0%, P = .033) compared to insured acute uncomplicated type B aortic dissections patients. Self-pay patients were more likely to follow up after thoracic endovascular aortic repair for acute complicated type B aortic dissections (82% vs 31%, P < .001).
Self-pay patients have multiple, interconnected, complex socioeconomic factors that likely influence preadmission risk for dissection and post-discharge adherence to optimal medical management. Further research is needed to clarify treatment strategies in this high-risk group.
Postoperative acute kidney injury is common after major vascular surgery and is associated with increased morbidity, mortality, and cost. High-performance risk stratification using a machine learning ...model can inform strategies that mitigate harm and optimize resource use. It is hypothesized that incorporating intraoperative data would improve machine learning model accuracy, discrimination, and precision in predicting acute kidney injury among patients undergoing major vascular surgery.
A single-center retrospective cohort of 1,531 adult patients who underwent nonemergency major vascular surgery, including open aortic, endovascular aortic, and lower extremity bypass procedures, was evaluated. The validated, automated MySurgeryRisk analytics platform used electronic health record data to forecast patient-level probabilistic risk scores for postoperative acute kidney injury using random forest models with preoperative data alone and perioperative data (preoperative plus intraoperative). The MySurgeryRisk predictions were compared with each other as well as with the American Society of Anesthesiologists physical status classification.
Machine learning models using perioperative data had greater accuracy, discrimination, and precision than models using either preoperative data alone or the American Society of Anesthesiologists physical status classification (accuracy: 0.70 vs 0.64 vs 0.62, area under the receiver operating characteristics curve: 0.77 vs 0.68 vs 0.61, area under the precision-recall curve: 0.70 vs 0.58 vs 0.48).
In predicting acute kidney injury after major vascular surgery, machine learning approaches that incorporate dynamic intraoperative data had greater accuracy, discrimination, and precision than models using either preoperative data alone or the American Society of Anesthesiologists physical status classification. Machine learning methods have the potential for real-time identification of high-risk patients who may benefit from personalized risk-reduction strategies.
PDF
