Pablo Lozano Martínez

Dr. Pablo Lozano Martínez

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Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 December 2025 in Journal of Clinical Medicine
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Journal Article
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MMMónica Sachi Martínez-Mihara
Mónica Sachi Martínez-Mihara
PMPablo Lozano Martínez
Pablo Lozano Martínez
AMAna Belén Mañas- Martínez
Ana Belén Mañas- Martínez
JGJosé Antonio Gimeno-Orna
José Antonio Gimeno-Orna
DADANIEL SAENZ ABAD
DANIEL SAENZ ABAD
Background/Objectives: This study aimed to evaluate the influence of mean blood glucose (MG) and glycemic variability (GV) during hospitalization on the risk of mortality in patients with diabetes mellitus (DM). Methods: We conducted a retrospective cohort study including patients with DM admitted to the Internal Medicine ward. The dependent variable was post-discharge mortality. Capillary glucose levels were collected, and MG, standard deviation (SD), and coefficient of variation (CV = SD/MG) were calculated. The predictive value of MG and GV, expressed as CV, for mortality was assessed, adjusting for hypoglycemic episodes and comorbidities. Survival analysis and multivariate Cox regression were performed. Results: A total of 276 patients were included, mean age of 77.6 ± 10.2 years, 146 (52.9%) were males. Heart failure was the leading cause of admission (40.4%). During a median follow-up of 2.7 years, 249 patients (90.2%) died, corresponding to 212 deaths per 1000 patient years (289 with CV > 0.29 vs. 168 with CV ≤ 0.29). In the multivariate Cox model, CV > 0.29 (HR = 1.60; 95% CI 1.23–2.08; p = 0.001) and MG > 140 mg/dL (HR = 1.71; 95% CI 1.16–2.51; p = 0.004) were independent predictors of mortality. Conclusions: Elevated MG and GV measured during hospitalization may help stratify mortality risk after discharge in patients with DM

2 November 2026 in Endocrines
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Journal Article
Open access
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JTJOSE JORGE ORTEZ TORO
JOSE JORGE ORTEZ TORO
MSMaria Soto-Célix
Maria Soto-Célix
PMPablo Lozano Martínez
Pablo Lozano Martínez
CCClara Lanau Campo
Clara Lanau Campo
TMTeresa Espiga Molinero
Teresa Espiga Molinero
MAMaría Milagros Antón
María Milagros Antón
Background: In adults with type 1 diabetes (T1D), routine anthropometric assessment may not detect deterioration in muscle quality and cellular integrity. Body mass index (BMI) remains useful as a first-line screening tool but cannot distinguish lean mass, fat mass and tissue quality. This study aims to describe bioimpedance-derived cellular integrity, apply the full diagnostic algorithm of the European Working Group on Sarcopenia in Older People (EWGSOP2), compare two bioimpedance muscle-mass equations, and examine the associations of disease duration and long-term glycemic exposure with muscle-related outcomes. Methods: This cross-sectional study included 193 adults with T1D recruited by consecutive sampling at the outpatient clinics of two hospitals. Participants underwent phase-sensitive 50 kHz bioelectrical impedance analysis (BIA), handgrip dynamometry and chair stand testing, and historical HbA1c and continuous glucose monitoring data were retrieved. Low muscle mass was estimated using the Janssen and Sergi equations with predefined sex-specific thresholds, and the complete EWGSOP2 algorithm was applied to distinguish low muscle mass from probable, confirmed and severe sarcopenia. Multivariable ordinary least squares models were adjusted for age and sex and fitted separately to preserve the largest complete-case sample for each outcome, with Benjamini–Hochberg correction for multiple testing. Results: Estimated low muscle mass differed markedly by equation, from 28.4% (Janssen) to 8.7% (Sergi); probable sarcopenia, defined by low handgrip strength, was present in 8.5%, whereas confirmed sarcopenia occurred in 2 of 167 participants (1.2%) and severe sarcopenia in none. The 16 participants identified by the Sergi equation were a strict subset of the 52 identified by the Janssen equation. Longer T1D duration was associated with a lower phase angle (β = −0.018 per year; 95% CI −0.028 to −0.009; and p < 0.001), independently of chronological age. Historical HbA1c was not associated with the appendicular skeletal muscle mass index (β = +0.092; p = 0.190) but was associated with lower handgrip strength (β = −1.67 kg per 1%; p = 0.013), a longer five-repetition chair stand time (β = +0.71 s per 1%; p = 0.004) and a lower muscle quality index (β = −0.064 per 1%; p = 0.025). Conclusions: In long-standing T1D, disease duration was associated with impaired cellular integrity and cumulative glycemic exposure with reduced muscle function and quality rather than with reduced muscle quantity. Estimated prevalence of low muscle mass varied more than threefold with the equation applied, while confirmed sarcopenia was rare. These cross-sectional findings suggest that BIA-derived muscle-mass equations should not be used in isolation and support anchoring morphofunctional assessment in measured muscle strength, complemented by phase angle.