Validation of a Risk Stratification Index and Risk Quantification Index for Predicting Patient Outcomes

2013 ◽  
Vol 119 (3) ◽  
pp. 525-540 ◽  
Author(s):  
Matthew J. G. Sigakis ◽  
Edward A. Bittner ◽  
Jonathan P. Wanderer

Abstract Background: External validation of published risk stratification models is essential to determine their generalizability. This study evaluates the performance of the Risk Stratification Indices (RSIs) and 30-day mortality Risk Quantification Index (RQI). Methods: 108,423 adult hospital admissions with anesthetics were identified (2006–2011). RSIs for mortality and length-of-stay endpoints were calculated using published methodology. 91,128 adult, noncardiac inpatient surgeries were identified with administrative data required for RQI calculation. Results: RSI in-hospital mortality and RQI 30-day mortality Brier scores were 0.308 and 0.017, respectively. RSI discrimination, by area under the receiver operating curves, was excellent at 0.966 (95% CI, 0.963–0.970) for in-hospital mortality, 0.903 (0.896–0.909) for 30-day mortality, 0.866 (0.861–0.870) for 1-yr mortality, and 0.884 (0.882–0.886) for length-of-stay. RSI calibration, however, was poor overall (17% predicted in-hospital mortality vs. 1.5% observed after inclusion of the regression constant) as demonstrated by calibration plots. Removal of self-fulfilling diagnosis and procedure codes (20,001 of 108,423; 20%) yielded similar results. RQIs were calculated for only 62,640 of 91,128 patients (68.7%) due to unmatched procedure codes. Patients with unmatched codes were younger, had higher American Society of Anesthesiologists physical status and 30-day mortality. The area under the receiver operating curve for 30-day mortality RQI was 0.888 (0.879–0.897). The model also demonstrated good calibration. Performance of a restricted index, Procedure Severity Score + American Society of Anesthesiologists physical status, performed as well as the original RQI model (age + American Society of Anesthesiologists + Procedure Severity Score). Conclusion: Although the RSIs demonstrated excellent discrimination, poor calibration limits their generalizability. The 30-day mortality RQI performed well with age providing a limited contribution.

Author(s):  
Efthymios Papadopoulos ◽  
Priya Brahmbhatt ◽  
Shabbir M.H. Alibhai ◽  
George A. Tomlinson ◽  
Andrew G. Matthew ◽  
...  

Background: The relationship between preoperative physical activity (PA) and hospital length of stay (LOS) following radical prostatectomy (RP) is poorly understood. In addition, the relationship between PA and the American Society of Anesthesiologists Physical Status score (ASA PS), an established prognosticator of surgical risk, has not been studied. The authors assessed the relationship between leisure-time PA (LTPA), ASA PS, and LOS in individuals undergoing RP. Methods: This retrospective cohort study was conducted using data from an institutional database. Ordinal logistic regression was used to assess the relationship between preoperative LTPA and physical status as indicated by the ASA PS. Binary logistic regression was used to assess the relationship between preoperative LTPA and LOS. Results: A sample of 1064 participants were included in the analyses. The participants in the highest preoperative LTPA quartile had 45% reduced odds (P = .015) of a worse ASA PS classification compared with participants in the lowest quartile. The participants engaging in vigorous LTPA preoperatively had 35% lower odds (P = .014) of a >2-day LOS following RP compared with participants who were not engaging in preoperative vigorous LTPA. Conclusions: Our findings suggest that total and vigorous preoperative LTPA is associated with improved preoperative American Society of Anesthesiologists scores and LOS following RP, respectively.


2017 ◽  
Vol 126 (4) ◽  
pp. 623-630 ◽  
Author(s):  
George F. Chamoun ◽  
Linyan Li ◽  
Nassib G. Chamoun ◽  
Vikas Saini ◽  
Daniel I. Sessler

Abstract Background The Risk Stratification Index was developed from 35 million Medicare hospitalizations from 2001 to 2006 but has yet to be externally validated on an independent large national data set, nor has it been calibrated. Finally, the Medicare Analysis and Provider Review file now allows 25 rather than 9 diagnostic codes and 25 rather than 6 procedure codes and includes present-on-admission flags. The authors sought to validate the index on new data, test the impact of present-on-admission codes, test the impact of the expansion to 25 diagnostic and procedure codes, and calibrate the model. Methods The authors applied the original index coefficients to 39,753,036 records from the 2007–2012 Medicare Analysis data set and calibrated the model. The authors compared their results with 25 diagnostic and 25 procedure codes, with results after restricting the model to the first 9 diagnostic and 6 procedure codes and to codes present on admission. Results The original coefficients applied to the 2007–2012 data set yielded C statistics of 0.83 for 1-yr mortality, 0.84 for 30-day mortality, 0.94 for in-hospital mortality, and 0.86 for median length of stay—values nearly identical to those originally reported. Calibration equations performed well against observed outcomes. The 2007–2012 model discriminated similarly when codes were restricted to nine diagnostic and six procedure codes. Present-on-admission models were about 10% less predictive for in-hospital mortality and hospital length of stay but were comparably predictive for 30-day and 1-yr mortality. Conclusions Risk stratification performance was largely unchanged by additional diagnostic and procedure codes and only slightly worsened by restricting analysis to codes present on admission. The Risk Stratification Index, after calibration, thus provides excellent discrimination and calibration for important health services outcomes and thus appears to be a good basis for making hospital comparisons.


2018 ◽  
Vol 100 (4) ◽  
pp. 301-307 ◽  
Author(s):  
S Hallam ◽  
BS Mothe ◽  
RMR Tirumulaju

Background Hartmann’s procedure is a commonly performed operation for complicated left colon diverticulitis or malignancy. The timing for reversal of Hartmann’s is not well defined as it is technically challenging and carries a high complication rate. Methods This study is a retrospective audit of all patients who underwent Hartmann’s procedure between 2008 and 2014. Reversal of Hartmann’s rate, timing, American Society of Anesthesiologists grade, length of stay and complications (Clavien–Dindo) including 30-day mortality were recorded. Results Hartmann’s procedure (n = 228) indications were complicated diverticular disease 44% (n = 100), malignancy 32% (n = 74) and other causes 24%, (n = 56). Reversal of Hartmann’s rate was 47% (n = 108). Median age of patients was 58 years (range 21–84 years), American Society of Anesthesiologists grade 2 (range 1–4), length of stay was eight days (range 2–42 days). Median time to reversal of Hartmann’s was 11 months (range 4–96 months). The overall complication rate from reversal of Hartmann’s was 21%; 3.7% had a major complication of IIIa or above including three anastomotic leaks and one deep wound dehiscence. Failure of reversal and permanent stoma was less than 1% (n = 2). Thirty-day mortality following Hartmann’s procedure was 7% (n = 15). Where Hartmann’s procedure wass not reversed, for 30% (n = 31) this was the patient’s choice and 70% (n = 74) were either high risk or unfit. Conclusions Hartmann’s procedure is reversed less frequently than thought and consented for. Only 46% of Hartmann’s procedures were stoma free at the end of the audit period. The anastomotic complication rate of 1% is also low for reversal of Hartmann’s procedure in this study.


KYAMC Journal ◽  
2017 ◽  
Vol 7 (1) ◽  
pp. 729-730
Author(s):  
Rahena Khatun ◽  
Md Zulfikar Ali

Epidural anaesthesia has been routinely used for many years and widely accepted as an effective mathod of pain relief . The procedure is commonly performed as a sole anaesthesic or in combination with spinal or general anaesthesia. In our case Md. Alauddin, 59 years old male was admitted in KYAMCH with complaints of diabetic gangrene of right foot with features of septicemia and he has a long history uncontrolled diabetes mellitus and hypertension leading to developed ischemia heart disease and CRF. After proper evaluation patient's physical status was graded as ASA (American society of Anesthesiologists) class-IV, and selected for above knee amputation of right lower limb but patient was unfit for anesthesia due to his co morbid conditions. As a life saving procedure the operation was done under epidural anesthesia and per- operative and postoperative recovery was uneventful.KYAMC Journal Vol. 7, No.-1, Jul 2016, Page 729-730


2021 ◽  
Author(s):  
Charlene Xian Wen Kwa ◽  
Jiaqian Cui ◽  
Daniel Yan Zheng Lim ◽  
Yilin Eileen Sim ◽  
Yuhe Ke ◽  
...  

Abstract BackgroundThe American Society of Anesthesiologists Physical Status Classification (ASA) score is used for communication of patient health status, risk scoring, benchmarking and financial claims. Prior studies using hypothetical scenarios have shown poor concordance of ASA scoring among healthcare providers. However, there is a paucity of concordance studies using real-world data, as well as studies of clinical factors or patient outcomes associated with discordant scoring. The study aims to assess real-world ASA score concordance between surgeons and anesthesiologists, factors surrounding discordance and its impact on patient outcomes. MethodsThis retrospective cohort study was conducted in a tertiary academic medical center on 46284 consecutive patients undergoing elective surgery between January 2017 and December 2019. ASA scores entered by surgeons and anesthesiologists, patient demographics, and post-operative outcomes were collected. We assessed the concordance of preoperative ASA scoring between surgeons and anesthesiologists, clinical factors associated with score discordance, the impact of score discordance on clinically important outcomes, and the discriminative ability of the two scores for 30-day mortality, 1-year mortality, and intensive care unit (ICU) admission. Statistical tests used included Cohen’s weighted 𝜅 score, chi-square test, t-test, unadjusted odds ratios and logistic regression models. ResultsThe ASA score showed moderate concordance (weighted Cohen’s 𝜅 0.53) between surgeons and anesthesiologists. 15098 patients (32.6%) had discordant scores, of which 11985 (79.4%) were scored lower by surgeons. We found significant associations between discordant scores and anesthesiologist-assessed comorbidities, patient age and race. Patients with discordant scores had a higher risk of 30-day mortality (odds ratio 2.00, 95% confidence interval [CI] = 1.52-2.62, p<0.0001), 1-year mortality (odds ratio 1.53, 95% CI = 1.38-1.69, p < 0.0001), and ICU admission >24 hours (odds ratio 1.69, 95% CI = 1.47-1.94, p< 0.0001), and stratified analyses showed a trend towards higher risk when the surgeons’ ASA score was lower. ConclusionsThere is moderate concordance between surgeons and anesthesiologists in assigning the ASA classification. Discordant ASA scores are associated with adverse patient outcomes. Hence, there is a need for improved standardization of ASA scoring and cross-specialty review in ASA-discordant cases.


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