Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
1.
Rev. Assoc. Med. Bras. (1992, Impr.) ; 69(11): e20230641, 2023. tab
Article in English | LILACS-Express | LILACS | ID: biblio-1521482

ABSTRACT

SUMMARY OBJECTIVE: The primary objective of this study was to explore the impact of metformin and metformin/gliptin combination therapy on the serum concentrations of vitamin B12, ferritin, and folic acid in individuals diagnosed with type 2 diabetes. METHODS: This study included 118 patients, classified into two groups: 59 patients using only metformin and 59 patients using a combination of metformin/gliptin. Among the latter group, 35 patients used vildagliptin/metformin, and 24 used sitagliptin/metformin. The study recorded the demographic data such as the age and gender of the patients, as well as their initial and 1-year follow-up blood parameters. RESULTS: Folic acid decreased significantly in the metformin group but not in the metformin/gliptin group. Vitamin B12 and ferritin decreased significantly in both groups. The decrease in vitamin B12 and ferritin was not significantly different between the two groups. The decrease in fasting plasma glucose was more significant in the metformin/gliptin group than in the metformin group. CONCLUSION: After 1 year, both groups taking metformin and metformin/gliptin showed low serum ferritin and vitamin B12 levels. Therefore, vitamin B12 levels in patients using these drugs should be closely monitored. Ferritin levels can be used to indicate whether glycemic control has been achieved.

2.
Rev. Assoc. Med. Bras. (1992) ; 67(9): 1305-1310, Sept. 2021. tab, graf
Article in English | LILACS | ID: biblio-1351471

ABSTRACT

SUMMARY OBJECTIVE: There are limited data about the significance of erythrocyte sedimentation rate as a single prognostic parameter for the prognosis and mortality of COVID-19. This study aimed to investigate the diagnostic utility of erythrocyte sedimentation rate as a prognostic factor for the disease severity and mortality in patients with COVID-19. METHODS: A total of 148 consecutive patients with a confirmed diagnosis of COVID-19 and hospitalized at the intensive care unit or non-the intensive care unit were included in the study. The patients were allocated to groups as severe/critical disease versus nonsevere disease and survivors and nonsurvivors. The prognostic role and predictable values of erythrocyte sedimentation rate were analyzed. RESULTS: Erythrocyte sedimentation rate was found to be higher among patients with severe/critical disease compared to those with nonsevere disease (p<0.001) and among nonsurvivors compared to survivors (p<0.001). The logistic regression analysis showed that erythrocyte sedimentation rate was an independent parameter for predicting disease severity and mortality. The role of erythrocyte sedimentation rate in the assessment of severity and mortality in patients with COVID-19 was analyzed using the receiver operating characteristic curve and was found to be significant in both. The analyses suggested that the optimum erythrocyte sedimentation rate cutoff point for disease severity and mortality were 52.5 mm/h with 65.5% sensitivity and 76.3% specificity and 56.5 mm/h with 66.7% sensitivity and 72.5% specificity. CONCLUSION: Our results suggest that erythrocyte sedimentation rate was an independent prognostic factor for severity and mortality in patients with COVID-19.


Subject(s)
Humans , COVID-19 , Prognosis , Blood Sedimentation , Retrospective Studies , ROC Curve , SARS-CoV-2
3.
Rev. Assoc. Med. Bras. (1992) ; 67(supl.1): 46-50, 2021. tab, graf
Article in English | LILACS | ID: biblio-1287856

ABSTRACT

ABSTRACT OBJECTIVE: The aim of this study is to evaluate the relation between the coronavirus (SARS-CoV-2) disease (COVID-19) and blood groups and the Rh factor. METHOD: A total of 313 patients hospitalized in the Internal Medicine clinic, at the intensive care unit (ICU) were included in the study. The cases were divided into two groups: those who were COVID-19 positive and those negative, detected with real-time reverse transcription polymerase chain reaction testing. The demographic, clinical, ABO blood groups, and Rh factor data of the cases were obtained from the hospital records retrospectively. RESULTS: The mean age of COVID-19 positive (+) cases was 57.74±16 years and of COVID-19 negative (-) cases, 66.41±15 years. The difference was significant (p<0.001); there was no difference between the two groups in terms of sex (p=0.634). When age was categorically separated in COVID-19 (+) cases, χ2 was extremely significant. Among the ABO blood groups of COVID-19 (+) and (-) cases, χ2 was 4.975 (p=0.174). In the logistic regression, it was 4.1 (p=0.011) in the O blood group. COVID-19 positive test was determined as 13, 4, and 4 times higher in the 31-40, 41-50, and 51-60 age groups, respectively (p=0.001, p=0.010, p=0.003). CONCLUSION: The incidence of COVID-19 has increased in the younger population and in the O blood group. Our findings support that, in this population, the ABO blood groups can contribute to the early detection of COVID-19.


Subject(s)
Humans , Male , Female , Adult , Aged , ABO Blood-Group System , COVID-19 , Retrospective Studies , SARS-CoV-2 , Intensive Care Units , Middle Aged
4.
Rev. Assoc. Med. Bras. (1992) ; 66(6): 746-751, June 2020. tab, graf
Article in English | SES-SP, LILACS | ID: biblio-1136276

ABSTRACT

SUMMARY OBJECTIVE The present study aimed to investigate the role of neutrophil/lymphocyte ratio (NLR), an inflammation marker, complete blood count, and biochemical parameters in the diagnosis of COVID-19. METHODS A total of 80 patients who had been hospitalized in the internal medicine clinic were enrolled in the study. The cases were allocated into two groups, i.e., COVID (+) and (-), based on real-time reverse transcription-polymerase chain reaction. The demographic, clinical, and laboratory [NLR, platelet/lymphocyte ratio (PLR), complete blood count, biochemistry, and serology] data of the patients were retrospectively obtained from the hospital data management system. RESULTS NLR and fever levels were found to be higher in COVID-19 (+) cases (P=0.021, P=0.001, respectively). There was no difference between males and females with regard to COVID-19 positivity (P=0.527). Total bilirubin levels were found to be lower in COVID-19 (+) cases (P=0.040). When the ROC analysis was carried out for NLR in COVID-19 (+) cases, the AUC value was found to be 0.660 (P=0.021), sensitivity as 69.01 %, specificity as 65.40 %, LR+: 1.98 and LR- : 0.48, PPV: 80.43, and NPV: 50.00, when the NLR was ≥2.4. The risk of COVID-19 was found to be 20.3-fold greater when NLR was ≥ 2.4 in the logistic regression (P=0.007). CONCLUSION NLR is an independent predictor for the diagnosis of COVID-19. We also found that fever and total bilirubin measurements could be useful for the diagnosis of COVID-19 in this population.


RESUMO OBJETIVO O objetivo do presente estudo foi investigar o papel da razão neutrófilos/linfócitos (RNL), um marcador de inflamação, hemograma completo e parâmetros bioquímicos no diagnóstico de COVID-19. MÉTODOS Um total de 80 pacientes internados na clínica médica foram incluídos no estudo. Os casos foram alocados em dois grupos, COVID (+) e (-), de acordo com a reação em cadeia da polimerase com transcrição reversa em tempo real. Os dados demográficos, clínicos e laboratoriais [NLR, relação plaquetas / linfócitos (PLR), hemograma completo, bioquímica e sorologia]) dos pacientes foram obtidos retrospectivamente no sistema de gerenciamento de dados hospitalares. RESULTADOS Os níveis de NLR e febre foram maiores nos casos de COVID-19 (+) (P = 0,021, P = 0,001,respectivamente). Não houve diferença entre homens e mulheres em relação à positividade para COVID-19 (P = 0,527). Os níveis totais de bilirrubina foram menores nos casos de COVID-19 (+) (P = 0,040). Quando a análise ROC foi realizada para NLR nos casos COVID-19 (+), o valor da AUC foi de 0,660 (P = 0,021), sensibilidade 69,01%, especificidade 65,40%, LR +: 1,98 e LR-: 0,48 , PPV: 80,43 e NPV: 50,00 quando o NLR era> 2,4. The risk of COVID-19 was found to be 20.3-fold greater when NLR was ≥ 2.4 in the logistic regression (P=0.007). CONCLUSÃO NLR é um preditor independente para o diagnóstico de COVID-19. Também concluímos que aferições de febre e bilirrubina total podem ser úteis para o diagnóstico de COVID-19 nesta população.


Subject(s)
Humans , Male , Female , Pneumonia, Viral/diagnosis , Pneumonia, Viral/immunology , Lymphocytes , Coronavirus Infections/diagnosis , Coronavirus Infections/immunology , Coronavirus , Pandemics , Neutrophils , Prognosis , Retrospective Studies , Coronavirus Infections , Betacoronavirus
5.
Rev Assoc Med Bras (1992) ; 66(Suppl 2): 77-81, 2020. tab, graf
Article in English | SES-SP, LILACS | ID: biblio-1136395

ABSTRACT

SUMMARY BACKGROUND Coronavirus Disease 2019 is an acute inflammatory respiratory disease. It causes many changes in hemogram parameters. Low albumin levels are associated with mortality risk in hospitalized patients. The aim of the present study is to reveal the place of neutrophil count to albumin ratio in predicting mortality in patients with COVID-19. METHODS 144 patients, 65 females and 79 males, were included in the study. Patients were divided into 2 groups. Group 1 was the non-severe group (n:85), and Group 2 was severe (n:59). Demographic data, neutrophil, lymphocyte and platelet counts, albumin and C-reactive protein (CRP) levels were recorded. Neutrophil count to albumin ratio (NAR) was calculated by dividing the absolute neutrophil counts by the albumin levels. The NAR and levels of the two groups were then compared. RESULTS There were no significant differences in gender and platelet count (201 vs. 211 K/mL) between the groups (p>0,05). Ages (62.0 ± 14.3 vs 68.6 ± 12.2 years), albumin (33.1 vs 29.9 gr/L), CRP (33 vs 113 mg/l), neutrophil count (4 vs 7.24 K/mL), WBC counts (6.70 vs 8.50 K/mL), NAR values (113.5 vs 267.2) and number of Death (5 vs 33) were found to be statistically higher (p <0.001) in Group 2 than in Group 1. The NAR value of 201.5 showed mortality in all patients with COVID-19 to have 71.1% sensitivity and 71.7% specificity (AUC:0.736, 95% CI: 0.641-0.832, p<0.001) CONCLUSION The present study showed that NAR levels can be a cheap and simple marker for predicting mortality in patients with COVID-19.


RESUMO ANTECEDENTES A doença de coronavírus 2019 é uma doença respiratória inflamatória aguda. Causa muitas alterações nos parâmetros do hemograma. Baixos níveis de albumina estão associados ao risco de mortalidade em pacientes hospitalizados. O objetivo do presente estudo é revelar o local da razão entre contagem de neutrófilos e albumina na predição de mortalidade em pacientes com COVID-19. MÉTODOS Cento e quarenta e quatro pacientes do sexo feminino e 79 do sexo masculino foram incluídos no estudo. Os pacientes foram divididos em dois grupos: Grupo 1 não grave (n: 85), Grupo 2 grave (n: 59). Dados demográficos, contagem de neutrófilos, linfócitos e plaquetas, níveis de albumina e proteína C reativa (PCR) foram registrados. A razão de contagem de neutrófilos para albumina (NAR) foi calculada dividindo-se as contagens absolutas de neutrófilos pelos níveis de albumina. O NAR e os níveis dos dois grupos foram comparados. RESULTADOS Não houve diferenças significativas no sexo e na contagem de plaquetas (201 vs 211 K/mL) entre os grupos (p>0,05). Idade (62,0±14,3 vs 68,6±12,2 anos), albumina (33,1 vs 29,9 gr/L), PCR (33 vs 113 mg/l), contagem de neutrófilos (4 vs 7,24 K/mL), contagem de leucócitos (6,70 vs 8,50 K/mL), valores de NAR (113,5 vs 267,2) e número de óbitos (5 vs 33) foram estatisticamente maiores (p<0,001) no Grupo 2 que no Grupo 1. O valor NAR de 201,5 mostrou mortalidade em todos os pacientes com COVID-19 com sensibilidade de 71,1% e especificidade de 71,7% (AUC: 0,736, IC 95%: 0,641-0,832, p<0,001). CONCLUSÃO O presente estudo mostrou que os níveis de NAR podem ser um marcador barato e simples para predizer mortalidade em pacientes com COVID-19.


Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Pneumonia, Viral/epidemiology , Coronavirus Infections/epidemiology , Albumins , Pandemics , Neutrophils , Pneumonia, Viral/diagnosis , Pneumonia, Viral/blood , Retrospective Studies , ROC Curve , Coronavirus Infections , Coronavirus Infections/diagnosis , Coronavirus Infections/blood , Betacoronavirus , Middle Aged
6.
Article | IMSEAR | ID: sea-211649

ABSTRACT

Background: Childhood obesity has reached alarming dimensions all around the world. In this study, our objective is to determine the prevalence of childhood obesity in the secondary education as well as genetic, cultural and environmental factors giving rise to obesity, nutritional habits, family history and activity status.Methods: The research was performed on 750 students aged between 14-18. Body Mass Index (BMI= weight/height2 (kg/m²)) and Relative Body Mass Index (Rel BMI)  values of each child were calculated by making use of their height and weight measurements. An evaluation was made through the use of a questionnaire form consisting of 46 questions that questioned the family history, nutritional habits and activity status of the children at issue.Results: About 41.7% of 750 children incorporated into the study were female, whereas 58.2% of them were male. The age distribution was between the age range, 14-18. According to BMI values, 12.3% of the children were overweight, while 4% of them were obese. According to Relative BMI values, on the other hand, 10.4% of the children were overweight, whereas 12.9% of them were obese. When the children’s nutritional habits, activity status and family history were evaluated, we ascertained that doing physical exercises irregularly, consuming pastry foods at home and the presence of obesity history within the family had all led to the development of obesity as well as being overweight (p <0.05).Conclusions: In these research subjects comprising children of secondary education, we showed that the nutritional habits, cultural nutritional differences and the insufficiency in physical activities as well as the genetic susceptibility in children could be the determinants in obesity development.

SELECTION OF CITATIONS
SEARCH DETAIL