Luis Felipe Higuita-Gutiérrez

Dr. Luis Felipe Higuita-Gutiérrez

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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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4 December 2020 in BMC Public Health
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LHLuis Felipe Higuita-Gutiérrez
Luis Felipe Higuita-Gutiérrez
GVGustavo Eduardo Roncancio Villamil
Gustavo Eduardo Roncancio Villamil
JQJudy Natalia Jiménez Quiceno
Judy Natalia Jiménez Quiceno
Background: This study was designed to describe the knowledge, attitude, and practice regarding antibiotic use and resistance among medical students in Medellín, Colombia. Methods: A cross-sectional study was conducted among medical students from three universities from September to December 2018. The sample size was calculated, the classrooms were visited, and those students who were willing to participate were invited to do so. The data collection instrument was constructed in three stages: i) the literature was systematically reviewed, ii) the items from the studies identified were extracted, and iii) item reduction was performed with exploratory factor analysis. Data were analyzed by calculating absolute and relative frequencies and means for quantitative variables. The indexes of knowledge, attitude, and practice were transformed to a scale from 0 (worst possible score) to 100. Comparisons were performed using the Mann-Whitney U test, Kruskall-Wallis H test, and linear regressions. Results: Five hundred and thirty-two medical students were included with a response rate of 96%. Of the total participants, 49.1% reported having used antibiotics within the past year. Regarding knowledge, only 18.2% had heard of the term “antimicrobial stewardship” and 69.3% were aware that empiric antibiotic therapy contributes to antibiotic resistance. Regarding attitude, 11.6% considered that antibiotics should be discontinued as soon as symptoms disappear and 24.6% stated that it is better to prescribe broad-spectrum antibiotics to ensure that the patient is cured. Regarding practice, 28.5% recognized that resistance is a multifactorial problem, but they do not act on it because they consider that individual actions would have little impact. The adjusted linear regression showed that the variables associated with knowledge, attitude, and practice were socioeconomic status, training cycle, university, previous experience of research or education, the general perception of the training received, and antibiotic consumption. Conclusion: Knowledge, attitude, and practice differ widely depending on the university, training cycle, and socioeconomic status, and a significant proportion of students consider that the standard of training received at the university on antibiotics and bacterial resistance is poor or mediocre. These findings show that there is a need to strengthen the medical students’ curriculum on antibiotics, mechanisms of antibiotic resistance, and the prudent use of antibiotics as an important strategy to combat problem-resistant public health, primarily in endemic countries.

17 December 2020 in Jornal de Pediatria
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KGKEIDIS SULAY RUIDIAZ GOMEZ
KEIDIS SULAY RUIDIAZ GOMEZ
LHLuis Felipe Higuita-Gutiérrez
Luis Felipe Higuita-Gutiérrez
To meta-analyze health-related quality of life in pediatric patients with chronic kidney disease in comparison to healthy patients according to the dimensions of the PedsQL instrument. A systematic review was performed with meta-analysis for the mean difference in each of the health-related quality of life dimensions. The authors searched for ten scientific databases including PubMed, Scopus, SciELO, Science Direct, ProQuest, Google Scholar. Reproducibility by the Kappa index was evaluated, and Dersimonian and Laird's tests, RI coefficient, Begg statistic, Forest Plot, and sensitivity analysis were carried out. 17 investigations were included in the qualitative synthesis and 7 in the quantitative synthesis with a population of 1214 of both healthy and sick pediatric patients with 3-5 chronic kidney disease stages. The health-related quality of life in pediatric chronic kidney disease patients presented lower scores in all the evaluated dimensions: in the physical dimension the difference is of 13.6 points, in the emotional dimension 7.8, in the social dimension 8.2, in the school dimension 20.8, with the total difference being 17.7 points. The findings of this study show that pediatric patients have lower health-related quality of life in all the evaluated dimensions, with the "school" dimension being the most affected and the "emotional" one the least. In this sense, we suggest monitoring the health-related quality of life of pediatric patients with chronic kidney disease so that interventions can be oriented to strengthen the affected dimensions, including adjustments to daily life and prevention of complications related to the disease.

1 April 2018 in International Journal of Antimicrobial Agents
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CVCarlos Andrés Vargas-Alzate
Carlos Andrés Vargas-Alzate
LHLuis Felipe Higuita-Gutiérrez
Luis Felipe Higuita-Gutiérrez
LLLucelly López
Lucelly López
ACAstrid Vanessa Cienfuegos-Gallet
Astrid Vanessa Cienfuegos-Gallet
JQJudy Natalia Jiménez Quiceno
Judy Natalia Jiménez Quiceno

15 April 2016
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JAJaiberth Antonio Cardona Arias
Jaiberth Antonio Cardona Arias
LHLuis Felipe Higuita-Gutiérrez
Luis Felipe Higuita-Gutiérrez
LOLeonardo Alberto Ríos Osorio
Leonardo Alberto Ríos Osorio

Verified
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MCMariana Montoya Castillo
Mariana Montoya Castillo
WQWilson de Jesús Martínez Quiroz
Wilson de Jesús Martínez Quiroz
MOMilton Fabian Suarez Ortegon
Milton Fabian Suarez Ortegon
LHLuis Felipe Higuita-Gutiérrez
Luis Felipe Higuita-Gutiérrez
Background/Objectives: Few studies have compared the associations of different adiposity markers with cardiometabolic risk factors in individuals without diabetes or cardiovascular disease (CVD), particularly in South America. Moreover, the associations with more severe cardiometabolic risk, defined by the simultaneous presence of altered glycemia, blood pressure, and dyslipidemia, remain unknown. We examined whether the waist-to-height ratio (W-HtR), waist circumference (WC), and BMI were independently associated with cardiometabolic risk in a chronic disease prevention program in Medellín, Colombia. Methods: A cross-sectional study was conducted in 29,236 adults (age: 19–121 years) without diabetes or CVD. Exposures included increased W-HtR (>0.5), increased WC (≥80 cm for women, ≥90 cm for men), and overweight/obesity. The outcomes were dyslipidemia, elevated glycemia, high blood pressure, and full cardiometabolic risk (FCMR), defined as the presence of all three factors. Logistic regressions adjusted for sociodemographic and lifestyle covariates and additional adiposity markers were used. Cubic spline analyses examined the shape of associations. Results: Most individuals were over 40 years old (97.6%), only 40 were ≥100 years, and 16.5% (n = 4821) had FCMR. Increased W-HtR tripled the odds of FCMR compared with normal W-HtR (OR: 3.04, 95%CI: 2.45–3.77, p < 0.001). Increased WC doubled the odds of FCMR (p < 0.001). W-HtR remained the strongest predictor after adjusting for WC (OR: 1.99, 95%CI: 1.59–2.50) and BMI (OR: 2.48, 95%CI: 1.99–3.08). Cubic spline analyses showed a linear association between W-HtR and FCMR, whereas the BMI–FCMR association plateaued at approximately 30 kg/m2. Conclusions: In this cross-sectional study of a large middle-to-older-aged cohort, W-HtR was the strongest adiposity marker correlated with cardiometabolic risk.

1 April 2020 in Diabetes, Metabolic Syndrome and Obesity
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LHLuis Felipe Higuita-Gutiérrez
Luis Felipe Higuita-Gutiérrez
WQWilson de Jesús Martínez Quiroz
Wilson de Jesús Martínez Quiroz
JCJaiberth Antonio Cardona-Arias
Jaiberth Antonio Cardona-Arias
Background: Metabolic syndrome has increased to epidemic levels in low- and middle-income countries. The knowledge on metabolic syndrome and its related diseases constitutes a clinical, epidemiological, and economic challenge of great relevance. The frequency of metabolic syndrome may vary between populations depending on age, sex, lifestyle, and culture; however, in Colombia, there is only little research, and the available studies focus on small populations that do not allow estimating their prevalence and distribution in different sociodemographic groups. We aimed to estimate the prevalence of metabolic syndrome and its association with sociodemographic characteristics in participants attending public chronic disease control programs in Medellin, Colombia, in the year 2018. Methods: We conducted a cross-sectional study in all patients who participated in a public chronic disease control program. Involved in this study were 68,288 individuals who attended at 10 hospital units and were strategically distributed in the city. The diagnostic criteria of the metabolic syndrome and its components were based on the consensus of the Latin American Diabetes Association. The data on age, sex, blood pressure, weight, height, physical activity, medications, lipid profile, and glycemic and glycosylated hemoglobin levels were obtained for clinical records. The prevalence, Pearson’s chi-square test, prevalence ratios (Kato-Katz method), and odds ratios (Woolf method) were estimated with 95% confidence intervals. A multivariate adjustment model was used with a logistic regression model to identify potential confounders using Epidat 4.2 and SPSS® 25.0. Results: The prevalence of the syndrome was 35.4%, with abdominal obesity in 82.3% individuals, hypertension in 48.6%, glucose intolerance in 25.5%, and hypertriglyceridemia in 22%. The prevalence of the syndrome exhibited statistical differences according to the area of residence. It was 15% higher in women; 31% and 59% higher in young and older adults, respectively, than in individuals aged < 25 years; 11% and 13% higher in the illiterate population and population with primary studies than in individuals with higher education; and approximately 200 times higher than those who are sedentary. Conclusion: A high prevalence of the syndrome and its constitutive factors in the study population demonstrated the importance of controlling it and increasing community-based prevention strategies, prioritizing the identified groups that are at the highest risk.