Risk Factors of Pulmonary Hypertension in Brazilian Patients with Sickle Cell Anemia
Publication Date
September 03, 2015
Journal
PLOS ONE
Authors
Clarisse Lopes De Castro Lobo, Emilia Matos Do Nascimento, Renato Abelha, Ana Maria Mach Queiroz, et al
Volume
10
Issue
9
Pages
e0137539
DOI
https://dx.plos.org/10.1371/journal.pone.0137539
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0137539
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/26335226
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559447
Europe PMC
http://europepmc.org/abstract/MED/26335226
Scopus
84947425911
Mendeley
http://www.mendeley.com/research/risk-factors-pulmonary-hypertension-brazilian-patients-sickle-cell-anemia-4
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Mendeley | Further Information

{"title"=>"Risk factors of pulmonary hypertension in Brazilian patients with sickle cell anemia", "type"=>"journal", "authors"=>[{"first_name"=>"Clarisse Lopes", "last_name"=>"De Castro Lobo", "scopus_author_id"=>"37123872800"}, {"first_name"=>"Emilia Matos", "last_name"=>"Do Nascimento", "scopus_author_id"=>"35603022400"}, {"first_name"=>"Renato", "last_name"=>"Abelha", "scopus_author_id"=>"56966773900"}, {"first_name"=>"Ana Maria Mach", "last_name"=>"Queiroz", "scopus_author_id"=>"36599065700"}, {"first_name"=>"Philippe", "last_name"=>"Connes", "scopus_author_id"=>"13205697000"}, {"first_name"=>"Gilberto Perez", "last_name"=>"Cardoso", "scopus_author_id"=>"9250930700"}, {"first_name"=>"Samir K.", "last_name"=>"Ballas", "scopus_author_id"=>"7102498997"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"606945985", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0137539", "scopus"=>"2-s2.0-84947425911", "pmid"=>"26335226", "sgr"=>"84947425911"}, "id"=>"25029ef9-4729-3eb9-83f5-53560359361f", "abstract"=>"This study was a prospective cross-sectional cohort study of 125 patients with sickle cell anemia (SS) between the ages of 16 to 60 years. Enrolled patients were followed-up prospectively for 15 months. Demographic, clinical, hematological and routine biochemical data were obtained on all patients. Six-minute walk test and Doppler Echocardiography were performed on all patients. A tricuspid regurgitant jet velocity (TRJV) < 2.5 m/sec was considered normal, 2.5 ≤ TRJV ≤ 3.0 was considered mild-moderate and > 3.0 m/sec, severe. Patients with abnormal TRJV were significantly older and more anemic, had significantly higher lactate dehydrogenase (LDH) levels, reticulocyte count and incidence of death. The logistic multimodal model implemented for the 125 patients indicated that age was the covariate that influenced the outcome of normal or abnormal TRJV with a cutoff age of thirty-two years. The survival rate for the group of patients with creatinine (Cr) > 1.0 mg/dL was lower than the group with Cr ≤ 1 and normal TRJV. A coefficient matrix showed that the LDH values were weakly correlated with the reticulocyte count but strongly correlated with hemoglobin suggesting that the TRJV values were not correlated with the hemolytic rate but with anemia. Ten patients died during the follow-up of whom 7 had TRJV > 2.5 m/sec. Acute chest syndrome was the most common cause of death followed by sepsis. In conclusion, this study shows that patients with SS older than thirty-two years with high LDH, elevated TRJV, severe anemia and Cr > 1 have poor prognosis and may be at risk of having pulmonary hypertension and should undergo RHC.", "link"=>"http://www.mendeley.com/research/risk-factors-pulmonary-hypertension-brazilian-patients-sickle-cell-anemia-4", "reader_count"=>13, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Student > Doctoral Student"=>1, "Researcher"=>2, "Student > Postgraduate"=>2, "Student > Master"=>2, "Other"=>2, "Student > Bachelor"=>2, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Student > Doctoral Student"=>1, "Researcher"=>2, "Student > Postgraduate"=>2, "Student > Master"=>2, "Other"=>2, "Student > Bachelor"=>2, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Medicine and Dentistry"=>4, "Agricultural and Biological Sciences"=>1, "Sports and Recreations"=>1, "Business, Management and Accounting"=>1, "Chemistry"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Chemistry"=>{"Chemistry"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>5}}, "reader_count_by_country"=>{"Brazil"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2252716"], "description"=>"<p>Each node represents a group of individuals with similar characteristics. Node 2 shows that 61 patients (75%) below the age of 32 have normal TRJV, 17 (21%) have mild-moderately severe TRJV and 3 (4%) have severely abnormal TRJV. Node 3 shows that among patients who are older than 32 years, 21(48%) have normal TRJV, 19 (43%) have mild-moderately severe TRJV and the remaining 4 patients (9%) have severely abnormal TRJV.</p>", "links"=>[], "tags"=>["gt", "TRJV", "anemia", "rhc", "2.5", "ldh", "ss", "cr", "tricuspid regurgitant jet velocity", "reticulocyte count", "125 patients", "Sickle Cell Anemia"], "article_id"=>1535201, "categories"=>["Biological Sciences"], "users"=>["Clarisse Lopes de Castro Lobo", "Emilia Matos do Nascimento", "Renato Abelha", "Ana Maria Mach Queiroz", "Philippe Connes", "Gilberto Perez Cardoso", "Samir K. Ballas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0137539.g001", "stats"=>{"downloads"=>0, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Classification_tree_showing_bar_plots_in_each_terminal_node_/1535201", "title"=>"Classification tree showing bar plots in each terminal node.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-03 15:26:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2252720"], "description"=>"<p>Patients with creatinine ≤ 1 are divided into two groups. The first group (node 3) includes 37 patients with abnormal TRJV and the second group (node 4) includes 73 patients with normal TRJV. Node 5 represents a group of 15 individuals with creatinine > 1. The X axis of all nodes shows the follow up time in months and the Y axis represents the survival probability. Thus, Node 3 shows that the probability of survival for 50 months of follow up is about 85%, in Node 4 it is 100% and in Node 5 it is about 80%. The 73 individuals in node 4 with normal TRJV have better survival probability than patients in nodes 3 and 5.</p>", "links"=>[], "tags"=>["gt", "TRJV", "anemia", "rhc", "2.5", "ldh", "ss", "cr", "tricuspid regurgitant jet velocity", "reticulocyte count", "125 patients", "Sickle Cell Anemia"], "article_id"=>1535206, "categories"=>["Biological Sciences"], "users"=>["Clarisse Lopes de Castro Lobo", "Emilia Matos do Nascimento", "Renato Abelha", "Ana Maria Mach Queiroz", "Philippe Connes", "Gilberto Perez Cardoso", "Samir K. Ballas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0137539.g002", "stats"=>{"downloads"=>3, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Survival_tree_showing_a_Kaplan_Meier_curve_in_each_terminal_node_/1535206", "title"=>"Survival tree showing a Kaplan-Meier curve in each terminal node.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-03 15:26:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2252722"], "description"=>"<p>The correlation between LDH and indirect bilirubin (r = 0.35) is slightly more than indirect bilirubin and reticulocytes (r = 0.27). However it is stronger than the correlation between LDH and reticulocytes (r = 0.18).</p>", "links"=>[], "tags"=>["gt", "TRJV", "anemia", "rhc", "2.5", "ldh", "ss", "cr", "tricuspid regurgitant jet velocity", "reticulocyte count", "125 patients", "Sickle Cell Anemia"], "article_id"=>1535208, "categories"=>["Biological Sciences"], "users"=>["Clarisse Lopes de Castro Lobo", "Emilia Matos do Nascimento", "Renato Abelha", "Ana Maria Mach Queiroz", "Philippe Connes", "Gilberto Perez Cardoso", "Samir K. Ballas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0137539.g003", "stats"=>{"downloads"=>5, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlation_plot_showing_low_correlation_between_each_pair_of_variables_for_the_eighty_two_patients_with_normal_TRJV_TRJV_lt_2_5_/1535208", "title"=>"Correlation plot showing low correlation between each pair of variables for the eighty-two patients with normal TRJV (TRJV<2.5).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-03 15:26:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2252723"], "description"=>"<p>The correlation between LDH and indirect bilirubin (r = 0.31) is slightly more than indirect bilirubin and reticulocytes (r = 0.26). However it is stronger than the correlation between LDH and reticulocytes (r = 0.12).</p>", "links"=>[], "tags"=>["gt", "TRJV", "anemia", "rhc", "2.5", "ldh", "ss", "cr", "tricuspid regurgitant jet velocity", "reticulocyte count", "125 patients", "Sickle Cell Anemia"], "article_id"=>1535209, "categories"=>["Biological Sciences"], "users"=>["Clarisse Lopes de Castro Lobo", "Emilia Matos do Nascimento", "Renato Abelha", "Ana Maria Mach Queiroz", "Philippe Connes", "Gilberto Perez Cardoso", "Samir K. Ballas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0137539.g004", "stats"=>{"downloads"=>5, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlation_plot_shows_low_correlation_between_each_pair_of_variables_in_the_forty_three_patients_with_abnormal_TRJV_TRJV_8805_2_5_/1535209", "title"=>"Correlation plot shows low correlation between each pair of variables in the forty-three patients with abnormal TRJV (TRJV ≥2.5).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-03 15:26:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2252724"], "description"=>"<p>From Ballas and Marcolina, Hemoglobin 24:277, 2000 with permission.</p>", "links"=>[], "tags"=>["gt", "TRJV", "anemia", "rhc", "2.5", "ldh", "ss", "cr", "tricuspid regurgitant jet velocity", "reticulocyte count", "125 patients", "Sickle Cell Anemia"], "article_id"=>1535210, "categories"=>["Biological Sciences"], "users"=>["Clarisse Lopes de Castro Lobo", "Emilia Matos do Nascimento", "Renato Abelha", "Ana Maria Mach Queiroz", "Philippe Connes", "Gilberto Perez Cardoso", "Samir K. Ballas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0137539.g005", "stats"=>{"downloads"=>3, "page_views"=>26, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_of_945_genotypes_on_RBC_survival_in_patients_with_sickle_cell_anemia_in_the_steady_state_/1535210", "title"=>"Effect of α genotypes on RBC survival in patients with sickle cell anemia in the steady state.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-03 15:26:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2252726"], "description"=>"<p>From Ballas and Marcolina, Hemoglobin 24:277, 2000 with permission. S: Senegal β haplotype; C: Central African Republic (also known as Bantu) β haplotype and B: Benin β haplotype.</p>", "links"=>[], "tags"=>["gt", "TRJV", "anemia", "rhc", "2.5", "ldh", "ss", "cr", "tricuspid regurgitant jet velocity", "reticulocyte count", "125 patients", "Sickle Cell Anemia"], "article_id"=>1535213, "categories"=>["Biological Sciences"], "users"=>["Clarisse Lopes de Castro Lobo", "Emilia Matos do Nascimento", "Renato Abelha", "Ana Maria Mach Queiroz", "Philippe Connes", "Gilberto Perez Cardoso", "Samir K. Ballas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0137539.g006", "stats"=>{"downloads"=>1, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effects_of_Hb_F_and_946_Haplotypes_on_RBC_survival_in_patients_with_sickle_cell_anemia_in_the_steady_state_/1535213", "title"=>"Effects of Hb F and β-Haplotypes on RBC survival in patients with sickle cell anemia in the steady state.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-09-03 15:26:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2252728"], "description"=>"<p>The numbers shown are mean ± SD for continuous variables.</p><p>Abbreviations are: 6WMT = 6 minute walk test; ALK = Alkaline Phosphatase; AST = Aspartate transaminase; TBili = Total bilirubin; DBili = Direct bilirubin; IBili = Indirect bilirubin BMI = Body mass index; Cr = Creatinine; CT = Computerized tomography scan; Hb = hemoglobin; Hb F = Fetal hemoglobin; Hct = hematocrit; LDH = <b>Lactate dehydrogenase</b>; m = meter; Max = Maximum; Min = Minimum; PA = Pulmonary artery; PAMP = Pulmonary artery mean pressure; PASP = Pulmonary artery systolic pressure; SD = Standard Deviation; sec = second; TRJV = Tricuspid regurgitant jet velocity; WBC = White blood cell count.</p><p>Clinical, laboratory and echocardiographic data in patients with normal and abnormal TRJV</p>", "links"=>[], "tags"=>["gt", "TRJV", "anemia", "rhc", "2.5", "ldh", "ss", "cr", "tricuspid regurgitant jet velocity", "reticulocyte count", "125 patients", "Sickle Cell Anemia"], "article_id"=>1535214, "categories"=>["Biological Sciences"], "users"=>["Clarisse Lopes de Castro Lobo", "Emilia Matos do Nascimento", "Renato Abelha", "Ana Maria Mach Queiroz", "Philippe Connes", "Gilberto Perez Cardoso", "Samir K. Ballas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0137539.t001", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Clinical_laboratory_and_echocardiographic_data_in_patients_with_normal_and_abnormal_TRJV_/1535214", "title"=>"Clinical, laboratory and echocardiographic data in patients with normal and abnormal TRJV", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-09-03 15:26:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2252729"], "description"=>"<p>Normal: TRJV<2.5 m/sec; Abnormal: TRJV≥2.5 m/sec.</p><p>Hb = hemoglobin; IBili = indirect bilirubin; LDH = lactate dehydrogenase; TRJV = tricuspid regurgitant jet velocity.</p><p>Correlation Coefficients between each of two variables in patients with normal and abnormal TRJV.</p>", "links"=>[], "tags"=>["gt", "TRJV", "anemia", "rhc", "2.5", "ldh", "ss", "cr", "tricuspid regurgitant jet velocity", "reticulocyte count", "125 patients", "Sickle Cell Anemia"], "article_id"=>1535215, "categories"=>["Biological Sciences"], "users"=>["Clarisse Lopes de Castro Lobo", "Emilia Matos do Nascimento", "Renato Abelha", "Ana Maria Mach Queiroz", "Philippe Connes", "Gilberto Perez Cardoso", "Samir K. Ballas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0137539.t002", "stats"=>{"downloads"=>0, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlation_Coefficients_between_each_of_two_variables_in_patients_with_normal_and_abnormal_TRJV_/1535215", "title"=>"Correlation Coefficients between each of two variables in patients with normal and abnormal TRJV.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-09-03 15:26:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/2252730"], "description"=>"<p>F: female; M: male; TRJV: tricuspid regurgitant jet velocity; </p><p></p><p></p><p></p><p><mi>P</mi></p><mo>¯</mo><p></p><mi>pa</mi><p></p><p></p>: mean pulmonary artery pressure; ECO PSAP: Echocardiographic pulmonary artery systolic pressure; m = meter; Max: Maximum; Min: Minimum; sec = second.<p></p><p>Cause of death and patient characteristics.</p>", "links"=>[], "tags"=>["gt", "TRJV", "anemia", "rhc", "2.5", "ldh", "ss", "cr", "tricuspid regurgitant jet velocity", "reticulocyte count", "125 patients", "Sickle Cell Anemia"], "article_id"=>1535216, "categories"=>["Biological Sciences"], "users"=>["Clarisse Lopes de Castro Lobo", "Emilia Matos do Nascimento", "Renato Abelha", "Ana Maria Mach Queiroz", "Philippe Connes", "Gilberto Perez Cardoso", "Samir K. Ballas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0137539.t003", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cause_of_death_and_patient_characteristics_/1535216", "title"=>"Cause of death and patient characteristics.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-09-03 15:26:42"}

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{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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