Does identifying frailty from ICD-10 coded data on hospital admission improve prediction of adverse outcomes in older surgical patients? A population-based study

2020 ◽  
Author(s):  
Lara A Harvey ◽  
Barbara Toson ◽  
Christina Norris ◽  
Ian A Harris ◽  
Robert C Gandy ◽  
...  
Keyword(s):  
Information Criterion ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Adverse Outcomes ◽  
Unplanned Readmission ◽  
Model Discrimination ◽  
Prolonged Length ◽  
Logistic Regression Models ◽  
Explanatory Variables ◽  
Classification Of Diseases

Abstract Background frailty is a major contributor to poor health outcomes in older people, separate from age, sex and comorbidities. This population-based validation study evaluated the performance of the International Classification of Diseases, 10th revision, coded Hospital Frailty Risk Score (HFRS) in the prediction of adverse outcomes in an older surgical population and compared its performance against the commonly used Charlson Comorbidity Index (CCI). Methods hospitalisation and death data for all individuals aged ≥50 admitted for surgery to New South Wales hospitals (2013–17) were linked. HFRS and CCI scores were calculated using both 2- and 5-year lookback periods. To determine the influence of individual explanatory variables, several logistic regression models were fitted for each outcome of interest (30-day mortality, prolonged length of stay (LOS) and 28-day readmission). Area under the receiving operator curve (AUC) and Akaike information criterion (AIC) were assessed. Results of the 487,197 patients, 6.8% were classified as high HFRS, and 18.3% as high CCI. Although all models performed better than base model (age and sex) for prediction of 30-day mortality, there was little difference between CCI and HFRS in model discrimination (AUC 0.76 versus 0.75), although CCI provided better model fit (AIC 79,020 versus 79,910). All models had poor ability to predict prolonged LOS (AUC range 0.62–0.63) or readmission (AUC range 0.62–0.65). Using a 5-year lookback period did not improve model discrimination over the 2-year period. Conclusions adjusting for HFRS did not improve prediction of 30-mortality over that achieved by the CCI. Neither HFRS nor CCI were useful for predicting prolonged LOS or 28-day unplanned readmission.

scholarly journals Does Identifying Frailty from ICD-10 Coded Data on Hospital Admission Improve Prediction of Adverse Outcomes in Older Surgical Patients

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Lara Harvey ◽  
Barbara Toson ◽  
Ian Harris ◽  
Robert Gandy ◽  
Jacqueline Close
Keyword(s):  
External Validation ◽  
Age Groups ◽  
Information Criterion ◽  
Population Based ◽  
Adverse Outcomes ◽  
Unplanned Readmission ◽  
Surgical Specialty ◽  
Prolonged Length ◽  
Logistic Regression Models ◽  
Poor Outcomes

IntroductionAs the population ages, increasing numbers of older adults are undergoing surgery. Outcomes for older people are known to be worse than younger people following surgical procedures, and identifying which patients stand to benefit from surgery can be challenging. Frailty is recognised as a major contributor to poor outcomes, however assessing frailty clinically is time-consuming and not routinely undertaken. Using data available from electronic medical records can potentially provide the opportunity to routinely screen for frailty electronically at time of admission. Objectives and ApproachThis population-based external validation study aimed to: 1. assess the performance of the Hospital Frailty Risk Score (HFRS) in the prediction of adverse outcomes (mortality, prolonged length of stay (LOS) and 28-day readmission), 2. to determine optimal age-groups and lookback periods and 3. compare HFRS performance against the Charlson Comorbidity Index (CCI). Hospital and death data for individuals (n=487,197) aged >50 years admitted under a surgical specialty to all public/private hospitals in NSW, Australia, 2013-2017 were linked. Logistic regression models were tested for each outcome of interest. Area under receiving operator curve (AUC) and Akaike information criterion (AIC) were assessed for each model. ResultsFor prediction of 30-day, all models performed better than age and sex alone; however adjusting for CCI (AUC 0.76) provided marginally better prediction than adjusting for HFRS (AUC 0.75). Models consistently performed better in the younger age-group (50-65), providing excellent discrimination (AUC 0.82). In contrast, all models had poor ability to predict prolonged-LOS (AUC range 0.62- 0.63) or readmission (AUC range 0.62-0.65). Using a 5-year lookback period did not improve model discrimination over using a 2-year period. Conclusion / ImplicationsAdjusting for frailty using the HFRS did not improve prediction of 30-mortality over that achieved by the CCI. Neither HFRS nor CCI were useful for predicting prolonged-LOS r 28-day unplanned readmission.

scholarly journals Risk and predictors of heart failure in sarcoidosis in a population-based cohort study from Sweden

Heart ◽  
2021 ◽  
pp. heartjnl-2021-319129
Author(s):  
Marios Rossides ◽  
Susanna Kullberg ◽  
Johan Grunewald ◽  
Anders Eklund ◽  
Daniela Di Giuseppe ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
General Population ◽  
Strong Predictor ◽  
Strong Association ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Clinical Predictors ◽  
Cox Models ◽  
Classification Of Diseases

ObjectivesPrevious studies showed a strong association between sarcoidosis and heart failure (HF) but did not consider risk stratification or risk factors to identify useful aetiological insights. We estimated overall and stratified HRs and identified risk factors for HF in sarcoidosis.MethodsSarcoidosis cases were identified from the Swedish National Patient Register (NPR; ≥2 International Classification of Diseases-coded visits, 2003–2013) and matched to general population comparators. They were followed for HF in the NPR. Treated were cases who were dispensed ≥1 immunosuppressant ±3 months from the first sarcoidosis visit (2006–2013). Using Cox models, we estimated HRs adjusted for demographics and comorbidity and identified independent risk factors of HF together with their attributable fractions (AFs).ResultsDuring follow-up, 204 of 8574 sarcoidosis cases and 721 of 84 192 comparators were diagnosed with HF (rate 2.2 vs 0.7/1000 person-years, respectively). The HR associated with sarcoidosis was 2.43 (95% CI 2.06 to 2.86) and did not vary by age, sex or treatment status. It was higher during the first 2 years after diagnosis (HR 3.7 vs 1.9) and in individuals without a history of ischaemic heart disease (IHD; HR 2.7 vs 1.7). Diabetes, atrial fibrillation and other arrhythmias were the strongest independent clinical predictors of HF (HR 2.5 each, 2-year AF 20%, 16% and 12%, respectively).ConclusionsAlthough low, the HF rate was more than twofold increased in sarcoidosis compared with the general population, particularly right after diagnosis. IHD history cannot solely explain these risks, whereas ventricular arrhythmias indicating cardiac sarcoidosis appear to be a strong predictor of HF in sarcoidosis.

Prevalence and Incidence of Heart Failure Among Urban Patients in China: A National Population-Based Analysis

2021 ◽  
Author(s):  
Hua Wang ◽  
Ke Chai ◽  
Minghui Du ◽  
Shengfeng Wang ◽  
Jian-Ping Cai ◽  
...  
Keyword(s):  
Heart Failure ◽  
Large Scale ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Unique Identifier ◽  
Classification Of Diseases ◽  
Per Capita ◽  
Mean Cost ◽  
Incident Cases

Background: Large-scale and population-based studies of heart failure (HF) incidence and prevalence are scarce in China. The study sought to estimate the prevalence, incidence, and cost of HF in China. Methods: We conducted a population-based study using records of 50.0 million individuals ≥25 years old from the national urban employee basic medical insurance from 6 provinces in China in 2017. Incident cases were individuals with a diagnosis of HF (International Classification of Diseases code, and text of diagnosis) in 2017 with a 4-year disease-free period (2013–2016). We calculated standardized rates by applying age standardization to the 2010 Chinese census population. Results: The age-standardized prevalence and incidence were 1.10% (1.10% among men and women) and 275 per 100 000 person-years (287 among men and 261 among women), respectively, accounting for 12.1 million patients with HF and 3.0 million patients with incident HF ≥25 years old. Both prevalence and incidence increased with increasing age (0.57%, 3.86%, and 7.55% for prevalence and 158, 892, and 1655 per 100 000 person-years for incidence among persons who were 25–64, 65–79, and ≥80 years of age, respectively). The inpatient mean cost per-capita was $4406.8 and the proportion with ≥3 hospitalizations among those hospitalized was 40.5%. The outpatient mean cost per-capita was $892.3. Conclusions: HF has placed a considerable burden on health systems in China, and strategies aimed at the prevention and treatment of HF are needed. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: ChiCTR2000029094.

Readmission after Adult Uvulopalatopharyngoplasty: A Population-Based Inpatient Cohort Study in Taiwan

2018 ◽  
Vol 160 (3) ◽  
pp. 559-566 ◽  
Author(s):  
Ying-Shuo Hsu ◽  
Wei-Chung Hsu ◽  
Jenq-Yuh Ko ◽  
Te-Huei Yeh ◽  
Chia-Hsuan Lee ◽  
...  
Keyword(s):  
Odds Ratio ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Factors Associated ◽  
Risk Of Bleeding ◽  
Increased Risk ◽  
Classification Of Diseases ◽  
Insurance Database ◽  
Population Based Survey

Objective To investigate readmissions among adult inpatients who underwent uvulopalatopharyngoplasty (UPPP) in Taiwan. Design Population-based survey. Setting Retrospective study with the National Health Insurance Database. Methods All cases of inpatient adult UPPP (age >20 years) from 1997 to 2012 were identified through International Classification of Diseases, Ninth Revision, Clinical Modification. Factors associated with readmission within 30 days after surgery were analyzed. Results A total of 38,839 adults with UPPP were identified (mean age, 39.3 years; men, 73.7%). The incidence of UPPP was 14.6 per 100 000 adults, which increased from 1997 to 2012 (6.7 to 16.7 per 100,000, Ptrend < .001). The rates of readmission for any reason, readmission for bleeding, reoperation for bleeding, and 30-day mortality were 4.2%, 1.7%, 1.0%, and 0.14%, respectively. Young age increased the risk of reoperation for bleeding, and old age increased the risk of readmission for any reason and mortality. Men had an increased risk of readmission and reoperation. Hypertension was associated with an increased risk of readmission for any reason (odds ratio [OR], 1.29; 95% CI, 1.10-1.51), bleeding-related readmission (OR, 1.89; 95% CI, 1.52-2.36), and reoperation (OR, 2.47; 95% CI, 1.84-3.30). Concurrent hypopharyngeal surgery was associated with an increased risk of readmission for any reason (OR, 1.34; 95% CI, 1.07-1.66) and bleeding-related readmission (OR, 1.69; 95% CI, 1.25-2.27). Finally, the use of steroids was associated with an increased risk of bleeding-related readmission and reoperation. Conclusions The incidence of adult UPPP increased from 1997 to 2012 in Taiwan. Age, sex, comorbidity, concurrent hypopharyngeal surgery, and drug administration were associated with readmission after inpatient UPPP.

Prevalence and incidence of doctor-diagnosed Dupuytren’s disease: a population-based study

2017 ◽  
Vol 42 (7) ◽  
pp. 673-677 ◽  
Author(s):  
J. Nordenskjöld ◽  
M. Englund ◽  
C. Zhou ◽  
I. Atroshi
Keyword(s):  
General Population ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Dupuytren’S Disease ◽  
Level Of Evidence ◽  
Dupuytren's Disease ◽  
Population Based Study ◽  
Classification Of Diseases ◽  
First Time

The prevalence and incidence of doctor-diagnosed Dupuytren’s disease in the general population is unknown. From the healthcare register for Skåne region (population 1.3 million) in southern Sweden, we identified all residents aged ⩾20 years (on 31 December 2013), who 1998 to 2013 had consulted a doctor and received the diagnosis Dupuytren’s disease (International Classification of Diseases 10th Revision code M720). During the 16 years, 7207 current residents (72% men) had been diagnosed with Dupuytren’s disease; the prevalence among men was 1.35% and among women 0.5%. Of all people diagnosed, 56% had received treatment (87% fasciectomy). In 2013, the incidence of first-time doctor-diagnosed Dupuytren’s disease among men was 14 and among women five per 10,000. The annual incidence among men aged ⩾50 years was 27 per 10,000. Clinically important Dupuytren’s disease is common in the general population. Level of evidence: III

scholarly journals Links Between Strokes and Hereditary Hemorrhagic Telangiectasia: A Population-Based Study

2018 ◽  
Vol 46 (1) ◽  
pp. 44-50
Author(s):  
Farah N. Chowdhury ◽  
G. Sanjaya Chandrarathne ◽  
Kristopher D. Masilamani ◽  
Jennifer T. N. LaBranche ◽  
Shaun Malo ◽  
...  
Keyword(s):  
General Population ◽  
Hereditary Hemorrhagic Telangiectasia ◽  
Female Gender ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Stroke Subtype ◽  
Stroke Incidence ◽  
Centre Of Excellence ◽  
Classification Of Diseases ◽  
Icd 10

AbstractBackgroundHereditary hemorrhagic telangiectasia (HHT) is a disease of abnormal vasculature where patients are predisposed to strokes of multiple etiologies. We assessed yearly stroke incidence among Albertans with HHT and compared with the general population. Given the tendency for stroke in HHT patients, we expected HHT patients to have higher stroke incidence, in particular at younger ages.MethodsPopulation-based administrative health data on inpatient and ambulatory admissions were extracted over a 16-year period using International Classification of Diseases (ICD)-9 and ICD-10, Canada codes. We analyzed overall occurrence of strokes in Alberta by age, gender, stroke subtype, and diagnosis of HHT.ResultsThe age-standardized incidence rate of stroke in HHT was 450 per 100,000 compared with 260 per 100,000 in the general population with a rate ratio of 1.73 (95% confidence interval (CI) [1.046-2.842]). This study found a higher HHT prevalence in Alberta (1 in 3800) compared to the world average of 1 in 5000. Women were also more likely to be diagnosed with HHT, with a 3.25:1 female gender preponderance in the yearly incidence.InterpretationThis study not only shows that HHT patients are at higher risk of having a stroke but also quantifies that risk using an age-adjusted metric in Alberta. This province has a higher than expected disease burden of HHT, with the majority of cases affecting women. Our study found that acute ischemic strokes and transient ischemic attacks are far more common than hemorrhage in HHT. As HHT is a rare, multi-system, chronic disease, these patients should be referred to an HHT Centre of Excellence.

scholarly journals Validation of intellectual disability coding through hospital morbidity records using an intellectual disability population-based database in Western Australia

BMJ Open ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. e019113 ◽  
Author(s):  
Jenny Bourke ◽  
Kingsley Wong ◽  
Helen Leonard
Keyword(s):  
Intellectual Disability ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Reliable Source ◽  
Morbidity Data ◽  
Classification Of Diseases ◽  
Data Source ◽  
Hospital Morbidity ◽  
Western Australian ◽  
Hospital Morbidity Data

ObjectivesTo investigate how well intellectual disability (ID) can be ascertained using hospital morbidity data compared with a population-based data source.Design, setting and participantsAll children born in 1983–2010 with a hospital admission in the Western Australian Hospital Morbidity Data System (HMDS) were linked with the Western Australian Intellectual Disability Exploring Answers (IDEA) database. The International Classification of Diseases hospital codes consistent with ID were also identified.Main outcome measuresThe characteristics of those children identified with ID through either or both sources were investigated.ResultsOf the 488 905 individuals in the study, 10 218 (2.1%) were identified with ID in either IDEA or HMDS with 1435 (14.0%) individuals identified in both databases, 8305 (81.3%) unique to the IDEA database and 478 (4.7%) unique to the HMDS dataset only. Of those unique to the HMDS dataset, about a quarter (n=124) had died before 1 year of age and most of these (75%) before 1 month. Children with ID who were also coded as such in the HMDS data were more likely to be aged under 1 year, female, non-Aboriginal and have a severe level of ID, compared with those not coded in the HMDS data. The sensitivity of using HMDS to identify ID was 14.7%, whereas the specificity was much higher at 99.9%.ConclusionHospital morbidity data are not a reliable source for identifying ID within a population, and epidemiological researchers need to take these findings into account in their study design.

Five years before multiple sclerosis onset: Phenotyping the prodrome

2018 ◽  
Vol 25 (8) ◽  
pp. 1092-1101 ◽  
Author(s):  
José MA Wijnands ◽  
Feng Zhu ◽  
Elaine Kingwell ◽  
Yinshan Zhao ◽  
Okechukwu Ekuma ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Symptom Onset ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Drug Classes ◽  
Classification Of Diseases ◽  
Health Care Encounters ◽  
Canadian Provinces ◽  
Using Data ◽  
Rate Ratios

Background: The multiple sclerosis (MS) prodrome is poorly characterized. Objective: To phenotype the MS prodrome via health care encounters. Methods: Using data from a population-based cohort study linking administrative and clinical data in four Canadian provinces, we compared physician and hospital encounters and prescriptions filled (via International Classification of Diseases chapters, physician specialty or drug classes) for MS subjects in the 5 years before the first demyelinating claim in an administrative cohort or the clinical symptom onset in an MS clinic-derived cohort, to age-, sex- and geographically matched controls. Rate ratios (RRs), 95% confidence intervals (95% CIs) and proportions were estimated. Results: The administrative and clinical cohorts included 13,951/66,940 and 3202/16,006 people with and without MS (cases/controls). Compared to controls, in the 5 years before the first demyelinating claim or symptom onset, cases had more physician and hospital encounters for the nervous (RR (range) = 2.31; 95% CI: 1.05–5.10 to 4.75; 95% CI: 3.11–7.25), sensory (RR (range) = 1.40; 95% CI: 1.34–1.46 to 2.28; 95% CI: 1.72–3.02), musculoskeletal (RR (range) = 1.19; 95% CI: 1.07–1.33 to 1.70; 95% CI: 1.57–1.85) and genito-urinary systems (RR (range) = 1.17; 95% CI: 1.05–1.30 to 1.59; 95% CI: 1.48–1.70). Cases had more psychiatrist and urologist encounters (RR (range) = 1.48; 95% CI: 1.36–1.62 to 1.80; 95% CI: 1.61–2.01), and higher proportions of musculoskeletal, genito-urinary or hormonal-related prescriptions (1.1–1.5 times higher, all p < 0.02). However, cases had fewer pregnancy-related encounters than controls (RR = 0.78; 95% CI: 0.71–0.86 to 0.88; 95% CI: 0.84–0.92). Conclusion: Phenotyping the prodrome 5 years before clinical recognition of MS is feasible.

scholarly journals Mortality Due to Cystic Fibrosis over a 36-Year Period in Spain: Time Trends and Geographic Variations

2019 ◽  
Vol 16 (1) ◽  
pp. 119 ◽  
Author(s):  
Ana Villaverde-Hueso ◽  
Germán Sánchez-Díaz ◽  
Francisco J. Molina-Cabrero ◽  
Elisa Gallego ◽  
Manuel Posada de la Paz ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Time Trends ◽  
Health Planning ◽  
International Classification Of Diseases ◽  
Mortality Rates ◽  
Population Based ◽  
Mediterranean Coast ◽  
Geographic Variations ◽  
Classification Of Diseases ◽  
Underlying Cause Of Death

The aim of this study is to analyze population-based mortality attributed to cystic fibrosis (CF) over 36 years in Spain. CF deaths were obtained from the National Statistics Institute, using codes 277.0 from the International Classification of Diseases (ICD) ninth revision (ICD9-CM) and E84 from the tenth revision (ICD10) to determine the underlying cause of death. We calculated age-specific and age-adjusted mortality rates, and time trends were assessed using joinpoint regression. The geographic analysis by district was performed by standardized mortality ratios (SMRs) and smoothed-SMRs. A total of 1002 deaths due to CF were identified (50.5% women). Age-adjusted mortality rates fell by −0.95% per year between 1981 and 2016. The average age of death from CF increased due to the annual fall in the mortality of under-25s (−3.77% males, −2.37% females) and an increase in over-75s (3.49%). We identified districts with higher than expected death risks in the south (Andalusia), the Mediterranean coast (Murcia, Valencia, Catalonia), the West (Extremadura), and the Canary Islands. In conclusion, in this study we monitored the population-based mortality attributed to CF over a long period and found geographic differences in the risk of dying from this disease. These findings complement the information provided in other studies and registries and will be useful for health planning.

scholarly journals Readmissions After Complex Cancer Surgery: Analysis of the Nationwide Readmissions Database

2018 ◽  
Vol 14 (6) ◽  
pp. e335-e345 ◽  
Author(s):  
Syed Nabeel Zafar ◽  
Adil A. Shah ◽  
Christine Nembhard ◽  
Lori L. Wilson ◽  
Elizabeth B. Habermann ◽  
...  
Keyword(s):  
Private Insurance ◽  
Lung Resection ◽  
Hospital Readmissions ◽  
International Classification Of Diseases ◽  
Primary Diagnosis ◽  
Cancer Surgery ◽  
Prolonged Length ◽  
Factors Associated ◽  
Diagnosis Codes ◽  
Classification Of Diseases

Purpose: Hospital readmissions after surgery are a focus of quality improvement efforts. Although some reflect appropriate care, others are potentially preventable readmissions (PPRs). We aim to describe the burden, timing, and factors associated with readmissions after complex cancer surgery. Methods: The Nationwide Readmissions Database (2013) was used to select patients undergoing a complex oncologic resection, which was defined as esophagectomy/gastrectomy, hepatectomy, pancreatectomy, colorectal resection, lung resection, or cystectomy. Readmissions within 30 days from discharge were analyzed. International Classification of Diseases (9th revision) primary diagnosis codes were reviewed to identify PPRs. Multivariable logistic regression analyses identified demographic, clinical, and hospital factors associated with readmissions. Results: Of the 59,493 eligible patients, 14% experienced a 30-day readmission, and 82% of these were deemed PPRs. Half of the readmissions occurred within the first 8 days of discharge. Infections (26%), GI complications (17%), and respiratory conditions (10%) accounted for most readmissions. Factors independently associated with an increased likelihood of readmission included Medicaid versus private insurance (odds ratio [OR], 1.32; 95% CI, 1.17 to 1.48), higher comorbidity score (OR, 1.5; 95% CI, 1.33 to 1.63), discharge to a facility (OR, 1.39; 95% CI, 1.29 to 1.51), prolonged length of stay (OR, 1.42; 95% CI, 1.32 to 1.52), and occurrence of a major in-hospital complication (OR, 1.24; 95% CI, 1.16 to 1.34). Conclusion: One in seven patients undergoing complex cancer surgery suffered a readmission within 30 days. We identified common causes of these and identified patients at high risk for such an event. These data can be used by physicians, administrators, and policymakers to develop strategies to decrease readmissions.

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