Evidence map›Paper›PMID 41796985›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2026

Accuracy of New Hypertensive Crisis Diagnoses Using International Classification of Disease (ICD)-10: A Validation Study in a National Medicare Sample.

Aayush Visaria, Ashwaghosha Parthasarathi, Poonam Gandhi, Benjamin Bates, Melanie Rua, Tobias Gerhard, Samanvaya Sharma, Matthew Pelton, Conan Chen, Seung Jae Moon and 3 more

Abstract readValidation Study
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Aayush VisariaDivision of General Internal Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Ashwaghosha ParthasarathiRutgers Health RWJBarnabas Health Center for Climate, Health and Healthcare, Rutgers Institute for Health, Health Care Policy, and Aging Research, New Brunswick, New Jersey, USA.
Poonam GandhiRutgers Health RWJBarnabas Health Center for Climate, Health and Healthcare, Rutgers Institute for Health, Health Care Policy, and Aging Research, New Brunswick, New Jersey, USA.
Benjamin BatesDivision of General Internal Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Melanie RuaRutgers Health RWJBarnabas Health Center for Climate, Health and Healthcare, Rutgers Institute for Health, Health Care Policy, and Aging Research, New Brunswick, New Jersey, USA.
Tobias GerhardCenter for Pharmacoepidemiology and Treatment Sciences, Rutgers Institute for Health, Health Care Policy, and Aging Research, New Brunswick, New Jersey, USA.
Samanvaya SharmaDivision of General Internal Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Matthew PeltonDivision of General Internal Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Conan ChenDivision of General Internal Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Seung Jae MoonDivision of General Internal Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Arnab K GhoshDepartment of Medicine, Weill Cornell Medicine, New York, New York, USA.
Partho SenguptaDivision of Cardiology, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Soko SetoguchiDivision of General Internal Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.

Funding

NHLBI NIH HHS 1P50MD017356-01NHLBI NIH HHS 1R01HL173998-01A1NHLBI NIH HHS 3U01HL088942NIA NIH HHS 1R01AG060232-01A1NSF 2125872
6 · The paper itself

Abstract

The incidence of hypertensive (HTN) crises in older adults has more than doubled over the past two decades. ICD-10 introduced codes for HTN urgency and emergency, but their validity has not been evaluated. We analyzed a 20% national sample of fee-for-service Medicare beneficiaries aged ≥66 years (2016-2019). Medical records were reviewed for 220 randomly sampled emergency department visits or hospitalizations with a primary ICD-10 HTN crisis code (100 HTN urgency [I16.0], 100 HTN emergency [I16.1] and 20 unspecified [I16.9]). Physicians abstracted and adjudicated cases. Two gold standards (GS) were used: (1) treating physician diagnosis and (2) adjudicated diagnosis based on BP (SBP ≥180 mmHg or DBP ≥110 mmHg), with or without end-organ damage. PPVs and 95% confidence intervals were estimated. Among 220 charts sampled from 53,100 HTN crisis cases (mean age 73 years; 33% male; 66% White), PPV for HTN emergency (I16.1) was 91% (95% CI, 85%-96%) using the treating physician GS and 78% (95% CI, 71%-86%) using the adjudicated GS. PPV for HTN urgency (I16.0) was 97% (95% CI, 93%-99%) and 81% (95% CI, 72%-88%), respectively. Overall PPV for any HTN crisis (I16.X) using the adjudicated GS was 95% (95% CI, 91%-97%). Including unspecified codes reduced PPV to 86% (95% CI, 79%-92%) and 78% (95% CI, 71-86%). ICD-10 HTN crisis codes demonstrate high PPV, supporting their use in epidemiologic and health services research.

Indexed as

HypertensionHypertensive CrisisInternational Classification of DiseasesAgedAged, 80 and overEmergency Room VisitsEmergency Service, HospitalFemaleHospitalizationHumansIncidenceMaleMedicareUnited States

Identifiers

PMID41796985
PMCPMC12968062

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.