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Record W3012062571 · doi:10.17709/2409-2231-2020-7-1-4

Epidemiological aspects of nephrolithiasis and chronic diseases of the cardiovascular system combination

2020· article· en· W3012062571 on OpenAlexaboutno aff
R. V. Royuk, S. K. Yarovoy, N. A. Guseva, Sh. L. Voskanyan, V. V. Royuk, D. B. Rodin

Bibliographic record

VenueResearch and Practical Medicine Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetes mellitusInternal medicineEpidemiologyAnginaDiseaseHeart failureCardiologyCoronary heart diseaseMyocardial infarctionEndocrinology

Abstract

fetched live from OpenAlex

Purpose of the study . To analyze prevalence and characteristics of the cardiovascular diseases (CVD) in patients with urolithiasis, revealed for the first time Materials and methods. In a period between 2009 and 2018, was made a retrospective analysis of medical histories of 2311 patients with urolithiasis, which were treated in in the urology departments of the branch No. 1 of the MCHG named after N.N. Burdenko (n=1487) and GBUZ MO Krasnogorsk City Hospital No. 1 (n=824). In 67,6% of the cases (1562 patients) the diagnosis of urolithiasis was diagnosed for the first time on admission. Isolated urolithiasis was recorded in 676 cases (43,3%), in other 154 cases (9,8%) nephrolithiasis was combined with different variants of cardiovascular diseases (CVD) and diabetes. From 732 respondents with urolithiasis and associated cardiovascular diseases (CVD), were formed 3 groups, in the first group (I) were included patients (n=363) with hypertension and arterial hypertension: the second group (II; n=79) was formed from patients with isolated coronary heart disease. In the third group (III) were included 290 patients which had urolithiasis combined with hypertension, arterial hypertension and coronary heart disease. The stages of hypertension and degree of expression of arterial hypertension were given according to the recommendations of Russian science society of cardiology (2004). Stages of congestive heart failure were defined according to c NYHA (New York Heart Association) classification. Functional class of stable angina was defined according to Canadian Cardiovascular Society classification (1970,1976). The obtained data was analyzed using descriptive statistics methods. Results. Average age of patients was 65,4 +– 3,27; 78% of the patients were men. On an emergency basis were hospitalized 30,9% from group I, 27,6% from group 2, and 31,3% from group III. In group I more often were recorded hypertension I + arterial hypertension I (32,5%) and hypertension II + arterial hypertension II (40,2%). In group II effort angina was recorded in 30 cases (38%). Congestive heart failure occurred among 153 patients (20,9%); most often it occurred among patients from III – in 102 cases (35,2%). In the whole sample, congestive heart failure of I and II degrees prevailed – in 88 (12%) and 57 (7,9%) patients. Kidney stones were found in 59,4% of patients, in the ureters – in 30,9% of patients, in kidneys and in the ureters – in 9,9% of patients. Share of the patients with kidney stones in the shape of corals is 3,4% of the whole sample. Average sizes of kidney stones of the patients with congestive heart failure are 9,2–11,8 mm which is different from the sizes in whole sample – 6,9–9,5 mm. Conclusion. During the observation period, share of the patients with first time revealed urolithiasis, complicated with the cardiovascular diseases (CVD) increased in 1,9 times (16,7 versus 31,7%). Congestive heart failure, which was registered in 20,9% of patients, was charged with I and II degrees. The presence chronic cardiovascular diseases (CVD), especially complicated by congestive heart failure in patients with first time revealed nephrolithiasis, implies changes in the algorithms of metaphylactic of nephrolithiasis (regime of water loads, selection of diuretics and anticoagulants).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.129
GPT teacher head0.407
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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