Failure to Rescue and Mortality Following Resection of Intracranial Neoplasms

The frailty-driven predictive model for failure to rescue among patients who experienced a major complication following cervical decompression and fusion: an ACS-NSQIP analysis of 3,632 cases (2011-2020)

BACKGROUND CONTEXT

Preoperative risk stratification for patients considering cervical decompression and fusion (CDF) relies on established independent risk factors to predict the probability of complications and outcomes in order to help guide pre and perioperative decision-making.

PURPOSE

This study aims to determine frailty's impact on failure to rescue (FTR), or when a mortality occurs within 30 days following a major complication.

STUDY DESIGN/SETTING

Cross-sectional retrospective analysis of retrospective and nationally-representative data.

PATIENT SAMPLE

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all CDF cases from 2011-2020.

OUTCOME MEASURES

CDF patients who experienced a major complication were identified and FTR was calculated as death or hospice disposition within 30 days of a major complication.

METHODS

Frailty was measured by the Risk Analysis Index-Revised (RAI-Rev). Baseline patient demographics and characteristics were compared for all FTR patients. Significant factors were assessed by univariate and multivariable regression for the development of a frailty-driven predictive model for FTR. The discriminative ability of the predictive model was assessed using a receiving operating characteristic (ROC) curve analysis.

RESULTS

There were 3632 CDF patients who suffered a major complication and 7.6% (277 patients) subsequently expired or dispositioned to hospice, the definition of FTR. Independent predictors of FTR were nonelective surgery, frailty, preoperative intubation, thrombosis or embolic complication, unplanned intubation, on ventilator for >48 hours, cardiac arrest, and septic shock. Frailty, and a combination of preoperative and postoperative risk factors in a predictive model for FTR, achieved outstanding discriminatory accuracy (C-statistic = 0.901, CI: 0.883-0.919).

CONCLUSION

Preoperative and postoperative risk factors, combined with frailty, yield a highly accurate predictive model for FTR in CDF patients. Our model may guide surgical management and/or prognostication regarding the likelihood of FTR after a major complication postoperatively with CDF patients. Future studies may determine the predictive ability of this model in other neurosurgical patient populations.

A Predictive Model of Failure to Rescue After Thoracolumbar Fusion

OBJECTIVE

Although failure to rescue (FTR) has been utilized as a quality-improvement metric in several surgical specialties, its current utilization in spine surgery is limited. Our study aims to identify the patient characteristics that are independent predictors of FTR among thoracolumbar fusion (TLF) patients.

METHODS

Patients who underwent TLF were identified using relevant diagnostic and procedural codes from the National Surgical Quality Improvement Program (NSQIP) database from 2011-2020. Frailty was assessed using the risk analysis index (RAI). FTR was defined as death, within 30 days, following a major complication. Univariate and multivariable analyses were used to compare baseline characteristics and early postoperative sequelae across FTR and non-FTR cohorts. Receiver operating characteristic (ROC) curve analysis was used to assess the discriminatory accuracy of the frailty-driven predictive model for FTR.

RESULTS

The study cohort (N = 15,749) had a median age of 66 years (interquartile range, 15 years). Increasing frailty, as measured by the RAI, was associated with an increased likelihood of FTR: odds ratio (95% confidence interval [CI]) is RAI 21-25, 1.3 [0.8-2.2]; RAI 26-30, 4.0 [2.4-6.6]; RAI 31-35, 7.0 [3.8-12.7]; RAI 36-40, 10.0 [4.9-20.2]; RAI 41- 45, 21.5 [9.1-50.6]; RAI ≥ 46, 45.8 [14.8-141.5]. The frailty-driven predictive model for FTR demonstrated outstanding discriminatory accuracy (C-statistic = 0.92; CI, 0.89-0.95).

CONCLUSION

Baseline frailty, as stratified by type of postoperative complication, predicts FTR with outstanding discriminatory accuracy in TLF patients. This frailty-driven model may inform patients and clinicians of FTR risk following TLF and help guide postoperative care after a major complication.

Volume-outcome relationship in complication-related mortality after percutaneous coronary interventions: an analysis on the failure-to-rescue rate in the Japanese Nationwide Registry

In-hospital mortality following percutaneous coronary intervention (PCI) varies across institutions with different annual PCI volumes. The failure to rescue (FTR) rate, defined as the mortality rate following PCI-related complications, may account for the volume-outcome relationship. The Japanese Nationwide PCI Registry, a consecutive, nationally mandated registry between 2019 and 2020, was queried. The FTR rate is defined as 'the number of patients who died following PCI-related complications' divided by 'the number of patients who experienced at least one PCI-related complication.' Multivariate analysis was used to calculate the risk-adjusted odds ratio (aOR) of the FTR rates among hospitals stratified into tertiles as low (≤ 236/year), medium (237-405/year), and high (≥ 406/year). A total of 465,716 PCIs and 1007 institutions were included. A volume-outcome relationship was observed for in-hospital mortality, and the medium-volume (aOR 0.90, 95% confidence interval [CI] 0.85-0.96), as well as high-volume (aOR 0.84, 95% CI 0.79-0.89) hospitals, had significantly lower in-hospital mortality than low-volume hospitals. Complication rates were lower at high-volume centers (1.9%, 2.2%, and 2.6% for high-, medium-, and low-volume centers, respectively; p < 0.001). The overall FTR rate was 19.0%. The FTR rates for the low-, medium-, and high-volume hospitals were 19.3%, 17.7%, and 20.6%, respectively. The medium-volume hospitals had a lower FTR rate (aOR 0.82, 95% [CI] 0.68-0.99), whereas the FTR rate was similar at the high-volume hospitals compared with that of the low-volume hospitals (aOR 1.02, 95% CI 0.83-1.26). In-hospital mortality was low after PCI in high-volume hospitals. However, the FTR rate in high-volume hospitals was not necessarily lower than that in low-volume hospitals. The FTR rate did not account for the volume-outcome relationship in PCI.

Failure to rescue as a patient safety indicator for neurosurgical patients: are we there yet? A systematic review

Failure to rescue (FTR) is a standardized patient safety indicator (PSI-04) developed by the Agency for Healthcare Research and Quality (AHRQ) to assess the ability of a healthcare team to prevent mortality following a major complication. However, FTR rates vary and are impacted by non-modifiable individual patient characteristics such as baseline frailty. This raises concerns regarding the validity of FTR as an objective quality metric, as not all patients have the same baseline frailty level, or physiological reserve, to recover from major complications. Literature from other surgical specialties has identified flaws in FTR and called for risk-adjusted metrics. Currently, knowledge of factors influencing FTR and its subsequent implementation in neurosurgical patients are limited. The present review assesses trends in FTR utilization to assess how FTR performs as an objective neurosurgery quality metric. This review then proposes how FTR may be best modified to optimize use in neurosurgical patients. A PubMed search was performed to identify articles published until August 9, 2023. Studies that reported FTR as an outcome in patients undergoing neurosurgical procedures were included. A qualitative assessment was performed using the Newcastle Ottawa Scale (NOS). The initial search revealed 1232 citations. After a title and abstract screen, followed by a full text screen, 12 studies met criteria for inclusion. These articles measured FTR across a total of 764,349 patients undergoing neurosurgical procedures. Five studies analyzed FTR with regard to hospital characteristics, and three studies utilized patient characteristics to predict FTR. All studies were considered high quality based on the NOS. Modifications in criteria to measure FTR are necessary since FTR depends on patient characteristics like frailty. This would allow for the incorporation of risk-adjusted FTR metrics that would aid in clinical decision making in neurosurgical patients.

The 5-Factor Modified Frailty Index as a More Useful Associated Factor Than Chronological Age After Unruptured Cerebral Aneurysm Surgery: A Nationwide Registry Study

BACKGROUND

Although chronological age is associated with mortality and morbidity after surgery for unruptured cerebral aneurysms (UCAs), there is little evidence regarding an association between the simplified 5-factor modified frailty index (mFI-5) and postoperative outcomes based on age group.

OBJECTIVE

To investigate the association of the mFI-5 score with worse outcomes, mortality, and complications in patients after surgery for UCA by chronological age groups using a Japanese national database.

METHODS

This study included 32 902 patients with UCAs enrolled in a Japanese national database between 2011 and 2015. Age group (younger than 65 years, 65-74 years, and 75 years or older), sex, UCA location, treatment, medications, Barthel Index (BI), medical history, mFI-5 score, and in-hospital mortality and complications were evaluated. We identified risk factors for worsening BI score, in-hospital mortality, and overall postoperative complications in each age group.

RESULTS

In total, 14 465 patients were enrolled in this study. Multivariable analysis showed that elderly groups and patients with an mFI-5 score ≥2 items were associated with worsening BI scores (odds ratio 1.95; 95% CI 1.52-2.51) and in-hospital complications (odds ratio 1.79; CI 1.49-2.15), despite having no association with in-hospital mortality. Multivariable analysis by age groups showed that the mFI-5 score ≥2 items was associated with in-hospital complications in all age groups, unlike chronological age in patients younger than 74 years.

CONCLUSION

The mFI-5 score was a more useful associated factor of in-hospital complications than chronological age in patients younger than 74 years undergoing surgery for UCA.

A nationwide registry study: The 5-factor modified frailty index of meningioma surgery in non-elderly and elderly patients

OBJECTIVES

The simplified 5-factor modified frailty index (mFI-5) is a useful indicator of outcome for patients undergoing surgeries as frailty is considered an important risk factor in elderly patients. However, its usefulness has not been validated based on age groups. Therefore, we aimed to investigate risk factors, including the mFI-5, across age groups for complications and worse outcomes in meningioma surgery using data obtained from the nationwide database in Japan.

METHODS

We extracted data from the nationwide registry database in Japan between 2010 and 2015. Age (< 65, 65-74, and ≥ 75 years), sex, Barthel Index (BI), mFI-5 scores, and complications were evaluated. Multivariate logistic regression analyses identified risk factors for worsening BI scores and complications after surgery across all age groups.

RESULTS

Among 8138 included patients, an mFI-5 score ≥ 2 items was a significant risk factor for worsening BI scores in patients aged < 65 years (odds ratio: 2.3; 95 % confidence interval: 1.5-3.4), but not in patients aged 65-74 years and those aged ≥ 75 years, contrary to chronological age. Similar results were noted for any complications in patients aged < 65 years (2.5; 1.8-3.6) and aged 65-74 years (1.5; 1.1-2.1), but not in patients aged ≥ 75 years.

CONCLUSION

Although the mFI-5 scores could predict the risk of in-hospital worsening outcomes, mortality, and complications, it was more useful in non-elderly patients aged < 65 years rather than in elderly patients aged ≥ 75 years, contrary to chronological age. Further prospective studies should be performed in the future to clarify the utility of the mFI-5.

Which surgical patients require shared care?

Most hospitalized surgical patients have significant medical comorbidity and are treated with a considerable number of drugs and/or experience significant complications. Shared care (SC) is the shared responsibility and authority in managing hospitalized patients. In this article, we discuss whether patients should be selected for SC or not. The various selection criteria are not an exact science nor are they easy to apply. Furthermore, they may leave out many patients who may be good candidates for SC. Perioperative management is essential for preventing postoperative mortality. Failure to rescue (in-hospital mortality secondary to postoperative complications) is the main factor linked to in-hospital surgical mortality and can affect any patient regardless of age, comorbidity, or type of surgery. The component that most reduces failure to rescue is the presence of internists in surgical wards. We believe that all patients hospitalized in surgery departments should receive SC.

Failure to rescue in the era of the lung allocation score: The impact of center volume

BACKGROUND

Failure to Rescue (FTR) is a valuable surgical quality improvement metric. The aim of this study is to assess the relationship between center volume and FTR following lung transplantation.

METHODS

Using the database of the United Network for Organ Sharing (UNOS) all adult, primary, isolated lung recipients in the United States between May 2005 and March 2016 were identified. FTR was defined as operative mortality after any of five specific complications. FTR was compared across terciles of transplantation centers stratified based on operative volume.

RESULTS

17,185 lung recipients met study criteria. The composite FTR rate (Death following at least one complication) was 20.7%. Following stratification by volume, FTR rates increased from high to middle tercile centers (19.3% vs. 23.0%). Multivariate logistic regression models suggested an independent relationship between higher center volume and lower FTR rates (p < 0.001).

CONCLUSION

Higher volume lung transplantation centers have lower rates of failure to rescue.

Hospital teaching status associated with reduced inpatient mortality and perioperative complications in surgical neuro-oncology

PURPOSE

Studies have demonstrated that higher surgical volumes correlate with improved neurosurgical outcomes yet none exist evaluating the effects of hospital teaching status on the surgical neuro-oncology patient. We present the first analysis comparing brain tumor surgery perioperative outcomes at academic and non-teaching centers.

METHODS

Brain tumor surgeries in the Nationwide Inpatient Sample (NIS) from 1998 to 2014 were identified. A teaching hospital, defined by the NIS, must have ≥ 1 Accreditation Council of Graduate Medical Education (ACGME) approved residency programs, Council of Teaching Hospitals membership, or have a ratio ≥ 0.25 of full-time residents to hospital beds. Annual treatment trends were stratified by hospital teaching status, assessing yearly caseload with linear regression. Multivariable logistic regression determined predictors of inpatient mortality/complications. Hospitals were further divided into quartiles by case volume and teaching status was compared in each.

RESULTS

Teaching hospitals (THs) exhibited an average annual increase in brain tumor surgeries (+ 1057/year, p < 0.0001). In multivariable analysis, teaching status was associated with decreased risk of mortality (OR 0.82, p = 0.0003) and increased likelihood of discharge home (OR 1.21, p < 0.0001). In subgroup analysis, within the highest hospital quartile by caseload, higher mortality rates and lower routine discharges were again seen at non-teaching hospitals (NTHs) (p = 0.0002 and p = 0.0016, respectively).

CONCLUSION

THs are performing more brain tumor surgeries over time with lower rates of inpatient mortality and perioperative complications even after controlling for hospital case volume. These results suggest a shift in neuro-oncology practice patterns favoring THs to optimize patient outcomes especially at the highest volume centers.

Failure to Rescue Contributes to Center-Level Differences in Mortality After Lung Transplantation

BACKGROUND

The clinical response to postoperative complications after lung transplantation (LTx) may contribute to mortality differences among transplantation centers. The ability to avoid mortality after a complication-failure to rescue (FTR)-may be an effective quality metric in LTx.

METHODS

The United Network for Organ Sharing database was queried for adult, first-time, lung-only transplantations from May 2005 to December 2015. Transplantation centers were stratified into equal-sized terciles on the basis of observed operative mortality rates. Several postoperative complications were identified, including stroke, acute rejection, acute kidney injury requiring hemodialysis, airway dehiscence, and extracorporeal membrane oxygenation 72 hours after surgery. Rates of FTR were calculated as the number of operative mortalities in patients who had complications divided by the number of patients who had any postoperative complications.

RESULTS

Our study population included 16,411 LTx operations performed at 69 transplantation centers. LTx centers were stratified into terciles with average perioperative mortality of 4.0% for low-mortality centers, 6.9% for intermediate-mortality centers, and 12.4% for high-mortality centers. Low-mortality centers had slightly lower complication rates (low, 15.0% vs intermediate, 17.1% vs high, 19.1%; P < .001). Differences in FTR rate were significantly more pronounced (low, 14.9% vs intermediate, 23.9% vs high, 34.2%; P < .001). Multivariable logistic regression and generalized linear models demonstrated an independent association between high FTR rates and high mortality in LTx (P < .001).

CONCLUSIONS

Differences in rates of FTR contribute significantly to per-center variability in mortality after LTx. FTR can serve as a quality metric to identify opportunities for improvement in management of perioperative adverse events.

Hospital volume and failure to rescue after vestibular schwannoma resection

BACKGROUND

Complication rates in many complex surgical procedures are associated with the volume of procedures performed.

OBJECTIVES

To investigate the relationship between hospital volume and complications, mortality, and failure to rescue (FTR) rates in patients undergoing vestibular schwannoma (VS) surgery.

DESIGN, SETTING, AND PARTICIPANTS

The Nationwide Inpatient Sample was used to identify 44,336 patients who underwent VS surgery in 1995-2011. Annual case volumes were stratified by quintiles and defined as very low (≤5 cases/year), low (6-12 cases/year) medium (13-22 cases/year), high (23-37 cases/year), and very high-volume (≥38 cases/year).

MAIN OUTCOMES AND MEASURES

Relationships between hospital volume and in-hospital mortality, postoperative complications, as well as FTR rates, defined as death after a major complication, were examined using multivariate regression analysis.

RESULTS

Postoperative medical and surgical complications occurred in 5.4% and 14.6% of cases, respectively, and did not differ significantly across volume quintiles. In-hospital mortality decreased with increasing hospital volume, with an incidence of 1.4% for hospitals in the lowest volume quintile compared to 0.1% for hospitals in the top volume quintile. After controlling for all other variables, the odds of in-hospital mortality were lower for medium (OR = 0.19 [0.04-0.93]) and very high-volume hospitals (OR = 0.07 [0.01-0.53]), but not high-volume hospitals (OR = 0.43 [0.05-3.77]). There was no association between hospital volume and the odds of postoperative surgical complications. FTR was associated with hospital volume, with decreasing odds for medium-volume (OR = 0.15 [0.02-0.93]), high-volume (OR = 0.17 [0.04-0.74]), and very high-volume (OR = 0.07 [0.04-0.74]) hospitals.

CONCLUSIONS

Hospital volume does not appear to be associated with complication rates but is associated with decreased likelihood of FTR after VS surgery.

LEVEL OF EVIDENCE

NA Laryngoscope, 130:1287-1293, 2020.