Evidence map›Paper›PMID 34403950›Full record

ArticleDiabetes & metabolic syndrome

Calculated plasma osmolality at hospital admission correlates well with eGFR and D-Dimer, a simple outcome predictor and guiding tool for management of severe COVID-19 patients.

Jayanthy Ramesh, Moganti Rajesh, Johann Varghese, S L Sagar Reddy

Open access · greenAbstract read
In one paragraph

Article in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 34% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

4 authors at 1 institution in 1 country.

Jayanthy RameshDepartment of Endocrinology, King George Hospital, Andhra Medical College, Vishakapatnam, India. Electronic address: drjayanthyramesh@gmail.com.
Moganti RajeshDepartment of Endocrinology, King George Hospital, Andhra Medical College, Vishakapatnam, India. Electronic address: mvhs13@gmail.com.
Johann VargheseDepartment of Endocrinology, King George Hospital, Andhra Medical College, Vishakapatnam, India. Electronic address: jv7947@gmail.com.
S L Sagar ReddyDepartment of Endocrinology, King George Hospital, Andhra Medical College, Vishakapatnam, India. Electronic address: sagarreddy0mbbs@gmail.com.
King George Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate calculated total plasma osmolality as a marker of outcome prediction, fluid and metabolic balance, thrombotic risk in severe COVID-19 patients.

methodsRetrospective data of RT-PCR confirmed hospitalized severe COVID-19 patients (total: n = 175 patients, including diabetic subset: n = 102) were analyzed. Clinically applicable cut-offs were derived using receiver operating characteristic (ROC) curve analysis for calculated total osmolality, eGFR, and D-dimer, and their correlations were studied.

resultsAmong 175 severe COVID-19 patients, a significant association with mortality was seen with respect to calculated total osmolality (p < 0.001), eGFR (p < 0.001), and D-dimer (p < 0.001). In the total cohort, applicable cut-offs based on ROC curve in predicting outcome were, for total osmolality 299 mosm/kg (area under the curve (AUC)-0.773, odds ratio (OR)-1.09), eGFR 61.5 ml/min/m2 (AUC-0.789, OR-0.96), D-dimer 5.13 (AUC-0.814, OR-2.65) respectively. In diabetic subset, the cut-offs for total osmolality were 298 mosm/kg (AUC-0.794, OR-1.12), eGFR 44.9 ml/min/m2 (AUC-0.774, OR-0.96) and D-dimer 1.59 (AUC-0.769, OR-1.52) respectively.

conclusionsApplicable cut-offs for calculated total plasma osmolality, eGFR, and D-dimer predicts clinical outcome in severe COVID-19 with and without diabetes. Correlation studies validated calculated total osmolality as a marker of the combined effect of fluid and metabolic imbalance, compromised renal function and hypercoagulability.

Indexed as

BiomarkersBlood CoagulationCohort StudiesCOVID-19Diabetes ComplicationsFemaleFibrin Fibrinogen Degradation ProductsGlomerular Filtration RateHumansIndiaMaleMiddle AgedOsmolar ConcentrationPatient AdmissionPlasmaPrognosisBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DCalculated total osmolalityD-dimerDiabetes mellituseGFRSevere COVID-19

Identifiers

PMID34403950
PMCPMC8353972
OpenAlexW3187994260

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.