Showing 121 - 133 results of 133 for search '"International Classification of Diseases"', query time: 0.06s Refine Results
  1. 121

    Incidence and mortality of upper tract urothelial carcinoma in Korea: A nationwide population-based study conducted from 2002 to 2020 by Seongmin Moon, Yun-Sok Ha, Mina Kim, Hoseob Kim, Won Tae Kim, Yong-June Kim, Seok-Joong Yun, Sang-Cheol Lee, Ho Won Kang

    Published 2025-01-01
    “…Materials and Methods: Reimbursement records for 43,255 patients diagnosed with primary UTUC (according to the International Classification of Disease 10th revision code C65 and C66) between 2002–2020 were retrieved. …”
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  2. 122

    Incremental Healthcare Costs and Outpatient Antifungal Treatment of Patients with Aspergillosis in the United States by Emily Durden, Donna McMorrow, Paul Juneau, Robert Fowler, Paresh Chaudhari, David Horn

    Published 2013-10-01
    “…**Methods:** Adults with at least one medical claim with an aspergillosis diagnosis (International Classification of Disease 9th Revision Clinical Modification [ICD-9-CM] code 117.3 or 484.6) between 07/01/04-03/01/11 were identified from the MarketScan Research Databases. …”
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  3. 123

    Barriers to Low-Vision Rehabilitation Services for Visually Impaired Patients in a Multidisciplinary Ophthalmology Outpatient Practice by Karima S. Khimani, Carissa R. Battle, Lauren Malaya, Aaleena Zaidi, Mary Schmitz-Brown, Huey-Ming Tzeng, Praveena K. Gupta

    Published 2021-01-01
    “…Potential subjects were screened (n = 577) from the electronic medical record using International Classification of Disease (ICD) codes for legal blindness, impaired vision, and low vision. …”
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  4. 124

    Gambaran Pengetahuan dan Keterampilan Dokter tentang Pengisian Penyebab Kematian Medis (Medical Cause of Death) Berdasarkan Standar ICD-10 di RS Tersier di Bandung by Noverika Windasari, Nur Adibah, Chevi Sayusman

    Published 2019-05-01
    “…Tujuan penelitian adalah untuk menilai pengetahuan dan keterampilan dokter tentang cara penulisan penyebab kematian medis (medical cause of death) pada rekam medis di RS Tersier di Bandung yang sesuai dengan standar WHO International Classification of Disease (ICD) 10. Penelitian ini berupa studi deskriptif analitik dengan memberikan kuesioner pada dokter klinis di suatu RS Tersier di Bandung untuk menilai pengetahuan dan keterampilan dokter tentang cara penulisan penyebab kematian medis (medical cause of death) dan kesesuaiannya dengan standar WHO ICD-10. …”
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  5. 125

    Examining different measures of multimorbidity, using a large prospective cross-sectional study in Australian general practice by Christopher Harrison, Helena Britt, Graeme Miller, Joan Henderson

    Published 2014-07-01
    “…This study examines the independent effects on prevalence estimates of how ‘disease entity’ is defined—as a single chronic condition or chapters/domains in the International Classification of Primary Care (V.2; ICPC-2), International Classification of Disease (10th revision; ICD-10) or the Cumulative Illness Rating Scale (CIRS), the number of disease entities required for multimorbidity, and the number of chronic conditions studied.Design National prospective cross-sectional study.Setting Australian general practice.Participants 8707 random consenting deidentified patient encounters with 290 randomly selected general practitioners.Main outcome measures Prevalence estimates of multimorbidity using different definitions.Results Data classified to ICPC-2 chapters, ICD-10 chapters or CIRS domains produce similar multimorbidity prevalence estimates. …”
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  6. 126

    Use of Sildenafil in Pulmonary Arterial Hypertension: Findings from a U.S. Healthcare Claims Database by Ariel Berger, John Edelsberg, Simon Teal, Marko A. Mychaskiw, Gerry Oster

    Published 2014-02-01
    “…**Methods:** Using a large U.S. healthcare claims database, we identified all patients with evidence of PAH (International Classification of Disease, 9th Revision, Clinical Modification [ICD-9-CM] diagnosis codes 416.0, 416.8) and receipt of sildenafil between January 1, 2005 and September 30, 2008. …”
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  7. 127

    Predictors of county-level diabetes-related mortality risks in Florida, USA: a retrospective ecological study by Nirmalendu Deb Nath, Agricola Odoi

    Published 2025-01-01
    “…The 10th International Classification of Disease codes E10-E14 were used to identify diabetes-related deaths which were then aggregated to the county-level. …”
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  8. 128

    Minimally Invasive Parafascicular Surgery (MIPS) for Spontaneous Intracerebral Hemorrhage Compared to Medical Management: A Case Series Comparison for a Single Institution by Victoria L. Phillips, Anil K. Roy, Jonathan Ratcliff, Gustavo Pradilla

    Published 2020-01-01
    “…All had an International Classification of Disease (ICD) diagnosis of 431 and were treated at Grady Memorial Hospital, an urban, public, safety-net hospital. …”
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  9. 129

    Incidence of chronic wounds in Singapore, a multiethnic Asian country, between 2000 and 2017: a retrospective cohort study using a nationwide claims database by Nicholas Graves, Kelvin Bryan Tan, Orlanda Q Goh, Ganga Ganesan, Yi Zhen Ng, Keith Harding

    Published 2020-09-01
    “…We aimed to estimate the incidence trend of a multiethnic Asian population.Design Retrospective cohort study.Setting Singapore’s nationwide claims database.Participants Singaporeans and permanent residents.Outcomes Patients were identified by International Classification of Disease, Ninth Revision, Australian Modification (ICD-9-AM) and ICD-10-AM codes from all admissions between 2000 and 2017, and categorised according to aetiology: venous, arterial, diabetic and pressure. …”
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  10. 130

    Forecasting stroke and stroke-driven dementia in a rapidly ageing population: a model-based analysis of alternative projection scenarios for Ireland by Anne Hickey, Eithne Sexton, Frances Horgan, Kathleen E Bennett, Ronan Collins, Martin O'Flaherty, Suzanne Timmons, Chris Macey, David J. Williams

    Published 2025-02-01
    “…We used multiple data sources, including systematic review and observational evidence.Interventions Not applicable.Primary and secondary outcome measures We projected the incidence and prevalence of stroke (International Classification of Disease (ICD) codes I60–I61, I63–I64), poststroke dementia (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) criteria) and poststroke disability (modified Rankin Scale 3–5).Results The stable scenario indicated a projected 85 834 stroke survivors in 2046 (95% uncertainty interval (UI)=82 366–89 655), an increase of 45.7% from 2022. …”
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  11. 131

    Impacts of drought on respiratory mortality in the upper midwest United States: a population subgroup assessment by Yeongjin Gwon, Yuanyuan Ji, Jesse D Berman, Azar M Abadi, Ronald D Leeper, Jared Rennie, Jesse E Bell

    Published 2025-01-01
    “…Respiratory mortality was obtained for each county and month during study period based on the 10th International Classification of Disease codes. We used the Evaporative Demand Drought Index categorized into three levels and analyzed it at two timescales: 6 months and 12 months. …”
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  12. 132

    A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care dataResearch in context by Olivia Murrin, Ninon Mounier, Bethany Voller, Linus Tata, Carlos Gallego-Moll, Albert Roso-Llorach, Lucía A. Carrasco-Ribelles, Chris Fox, Louise M. Allan, Ruby M. Woodward, Xiaoran Liang, Jose M. Valderas, Sara M. Khalid, Frank Dudbridge, Sally E. Lamb, Mary Mancini, Leon Farmer, Kate Boddy, Jack Bowden, David Melzer, Timothy M. Frayling, Jane A.H. Masoli, Luke C. Pilling, Concepción Violán, João Delgado

    Published 2025-03-01
    “…We classified pairs of conditions as across or within-domain based on the international classification of disease. Findings: We identified 72 chronic conditions, with 43.6% of 2546 pairs showing higher co-occurrence than chance in primary care and evidence of shared genetics. …”
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  13. 133

    Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

    Published 2025-01-01
    “…We aimed to investigate the relationship between morality and potential prognostic factors among in-patient and emergency patients with HF.Patients and Methods: A case series study: Data are collected from in-hospital and emergency care patients from 2014 to 2021, including their international classification of disease at admission, and laboratory data such as blood count, liver and renal functions, lipid profile, and other biochemistry from the hospital’s electrical medical records. …”
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