HIV-related risk factors of blood donors in northern Thailand before and after knowing HIV test results

Background: Hospital admission for any reason provides the situation for voluntary HIV testing and consultation. Identifying the predictors of positivity may lead to a cost-effective method while enhancing professionalism. Objectives: To find the predictors of HIV-positive test result in a general hospital in Shiraz compared to a control group. Methods: In this case-control study, the records of all patients who received HIV testing upon their hospitalization in a general hospital in Shiraz, south of Iran, from January 2017 to the end of December 2017 were reviewed. For each HIV-positive case, at least one control from the same ward in the hospital with negative HIV test result was randomly selected. Based on the best-fitted model of logistic regression, the probability of positive HIV test results was estimated for each participant according to the risk factors, and a receiver operating characteristic (ROC) curve was drawn. Results: Out of 7333 persons who accepted to be tested, 77 patients tested positive for HIV, of whom 55 (71.4%) were male with the mean age of 41.5 ± 9.5 years. None of the HIV-positive patients were intravenous drug users, nor had they a history of imprisonment. The odds ratio (OR) was 21 for hepatitis-positive patients (hepatitis B and/or C) compared to negative ones, which was seven times higher in opium addicts than non-opium addicts. We developed a model using age, sex, opium addiction, and HBV and HCV status to predict the probability of being positive for HIV with an AUC of 0.853 (95% confidence interval 0.797 to 0.909). Conclusions: Hospital admission could be an appropriate momentum for providing voluntary counseling and testing. Infection with HBV and HCV are important risk factors for HIV infection, and additional testing should be offered, especially to these patients.

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Risk factors for hepatitis C virus infection among blood donors in northern Thailand

Transfusion ◽

10.1111/j.1537-2995.2004.04073.x ◽

2004 ◽

Vol 44 (10) ◽

pp. 1433-1440 ◽

Cited By ~ 36

Author(s):

Lakkana Thaikruea ◽

Satawat Thongsawat ◽

Niwat Maneekarn ◽

Dale Netski ◽

David L. Thomas ◽

...

Keyword(s):

Risk Factors ◽

Hepatitis C Virus ◽

Hepatitis C ◽

Virus Infection ◽

Blood Donors ◽

Hepatitis C Virus Infection ◽

Northern Thailand

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Distribution of Hepatitis C Virus Genotypes and Related Risk Factors Among Iranian Blood Donors: A Penalized Logistic Regression

Jundishapur Journal of Microbiology ◽

10.5812/jjm.69136 ◽

2018 ◽

Vol 11 (12) ◽

Cited By ~ 1

Author(s):

Fahimeh Ranjbar Kermani ◽

Sedigheh Amini-Kafiabad ◽

Kamran Mousavi Hosseini ◽

Mahtab Maghsudlu ◽

Zohreh Sharifi ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Hepatitis C Virus ◽

Hepatitis C ◽

Blood Donors ◽

Related Risk ◽

Virus Genotypes ◽

Hepatitis C Virus Genotypes ◽

Penalized Logistic Regression

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Risk Factors Associated with False Positive HIV Test Results in a Low-Risk Urban Obstetric Population

Journal of Pregnancy ◽

10.1155/2012/841979 ◽

2012 ◽

Vol 2012 ◽

pp. 1-4 ◽

Cited By ~ 7

Author(s):

Tamara T. Chao ◽

Jeanne S. Sheffield ◽

George D. Wendel ◽

M. Qasim Ansari ◽

Donald D. McIntire ◽

...

Keyword(s):

Risk Factors ◽

False Positive ◽

Low Risk ◽

Test Results ◽

Factors Associated ◽

Hiv Test ◽

Obstetric Population

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Manifestations and Related Risk Factors of Thrombocyte Abnormalities in HIV-Positive Patients Before and After the Initiation of ART

Infection and Drug Resistance ◽

10.2147/idr.s334046 ◽

2021 ◽

Vol Volume 14 ◽

pp. 4809-4819

Author(s):

Bei Li ◽

Leidan Zhang ◽

Ying Liu ◽

Jing Xiao ◽

Xinyue Wang ◽

...

Keyword(s):

Risk Factors ◽

Hiv Positive ◽

Related Risk ◽

Before And After

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Toxoplasma Gondii Infection and Related Risk Factors Among Blood Donors in Northwest Iran

Archives of Clinical Infectious Diseases ◽

10.5812/archcid.62005 ◽

2017 ◽

Vol In Press (In Press) ◽

Cited By ~ 1

Author(s):

Reza Bahhaj ◽

Ehsan Ahmadpour ◽

Mahmoud Mahami-Oskouei ◽

Esmaeil Fallah ◽

Karim Shamsasenjan ◽

...

Keyword(s):

Risk Factors ◽

Toxoplasma Gondii ◽

Blood Donors ◽

Related Risk ◽

Northwest Iran ◽

Toxoplasma Gondii Infection

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An analysis of perioperative hidden blood loss in femoral intertrochanteric fractures: Bone density is an important influencing factor

10.21203/rs.3.rs-22713/v5 ◽

2020 ◽

Author(s):

Haidong Cui ◽

Kai Chen ◽

Shujun Lv ◽

Chaoqun Yuan ◽

Youhua Wang

Keyword(s):

Risk Factors ◽

Bone Density ◽

Blood Loss ◽

Influencing Factor ◽

Linear Regression Analysis ◽

Intertrochanteric Fractures ◽

Hidden Blood Loss ◽

Related Risk ◽

Anticoagulant Drugs ◽

Before And After

Abstract Background To explore the influencing factors of perioperative hidden blood loss in intertrochanteric fractures. Method We undertook a retrospective analysis from January 2016 to October 2019. Clinical data of 118 patients with intertrochanteric fractures were included. Hidden blood loss was calculated from the haematocrit changes before and after surgery using the Gross equation based on height, weight, and haematocrit (HCT) changes before and after surgery. Patients’ gender, age, presence of underlying diseases, fracture types, anaesthesia methods, time from injury to surgery, administration of antiplatelet drugs within 6 months before surgery, use of anticoagulant drugs after surgery, and bone density were statistically analysed. Factors having an effect on hidden blood loss were screened out. Then, hidden blood loss was used as the dependent variable, and each influencing factor was used in turn as the independent variable. Multivariate linear regression analysis was employed to analyse the related risk factors that affect hidden blood loss during the perioperative period of patients with intertrochanteric fractures. Result The apparent blood loss during the operation was 203.81 ±105. 51 ml, and the hidden blood loss was 517.55±191.47 ml. There were significant differences in the hidden blood loss of patients with different fracture types (stable vs unstable), anaesthesia methods (general anaesthesia vs intraspinal anaesthesia), antiplatelet or postoperative anticoagulant drugs, and bone densities (P<0.05). 05). Multiple linear regression analysis showed that internal fixation, age, fracture type, anaesthesia method, anticoagulant application, and bone density were related risk factors that affected hidden blood loss during the surgical treatment of intertrochanteric fractures. Conclusion Hidden blood loss is the main cause of perioperative blood loss in intertrochanteric fractures, and the risk factors for hidden blood loss include internal fixation, fracture type (e.g., unstable), anaesthesia (e.g., intraspinal), and use of anticoagulant drugs. Specifically, we found that low bone density was a risk factor for hidden blood loss. It is not reliable to use apparent blood loss as the basis for fluid replacement and transfusion. We must fully consider the existence of hidden blood loss and intervene as soon as possible to prevent complications.

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An analysis of perioperative hidden blood loss in femoral intertrochanteric fractures: Bone density is an important influencing factor

10.21203/rs.3.rs-22713/v4 ◽

2020 ◽

Author(s):

Haidong Cui ◽

Kai Chen ◽

Shujun Lv ◽

Chaoqun Yuan ◽

Youhua Wang

Keyword(s):

Risk Factors ◽

Bone Density ◽

Blood Loss ◽

Influencing Factor ◽

Linear Regression Analysis ◽

Intertrochanteric Fractures ◽

Hidden Blood Loss ◽

Related Risk ◽

Anticoagulant Drugs ◽

Before And After

Abstract Background To explore the influencing factors of perioperative hidden blood loss of intertrochanteric fractures.Method We undertook a retrospective analysis from January 2016 to October 2019. Clinical data of 118 patients with intertrochanteric fractures was included in. Hidden blood loss was calculated from the hematocrit changes before and after surgery, using the Gross equation, based on height, weight, and hematocrit (HCT) changes before and after surgery. Patients’ gender, age, presence of underlying diseases (hypertension and diabetes), fracture types, anesthesia methods, time from injury to surgery, whether to take antiplatelet drugs within 6 months before surgery, use of anticoagulant drugs after surgery, bone density were statistically analyzed. The factors with statistical significance were screened out. And then the hidden blood loss was used as the dependent variable and each influencing factor was the independent variable. Multivariate linear regression analysis was used to analyze the related risk factors that affect the hidden blood loss during the perioperative period of intertrochanteric fractures. Result The apparent blood loss during operation was (203.81 ±105. 51) ml, and the hidden blood loss was (517.55±191.47) ml. There were significant differences in the hidden blood loss of patients with different fracture types, anesthesia methods, antiplatelet or postoperative anticoagulant drugs, and different bone density(P＜0. 05). Multiple linear regression analysis showed that internal fixation, age, fracture type, anesthesia method, anticoagulant application, and bone density were related risk factors that affected hidden blood loss during surgical treatment of intertrochanteric fracture. Conclusion Hidden blood loss is the main cause of perioperative blood loss in intertrochanteric fractures, and the risk factors for hidden blood loss include internal fixation, fracture type, anesthesia, use of anticoagulant drugs. Specially, we found bone density was a risk factor for hidden blood loss. It is not reliable to use the apparent blood loss as the basis for fluid replacement and transfusion. We must fully consider the existence of hidden blood loss and intervene as soon as possible to prevent complications.

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Evaluation of patient related modifiable and non-modifiable risk factors in causation of surgical site infection in various abdominal surgeries

International Surgery Journal ◽

10.18203/2349-2902.isj20185485 ◽

2018 ◽

Vol 6 (1) ◽

pp. 265

Author(s):

Abhinav Agrawal ◽

Shivam Madeshiya ◽

Roshni Khan ◽

Shashank S. Tripathi ◽

Gaurav Bharadwaj

Keyword(s):

Risk Factors ◽

Surgical Site Infection ◽

Surgical Site Infections ◽

Signs And Symptoms ◽

Blood Transfusions ◽

Site Infection ◽

Case Scenario ◽

Related Risk ◽

Duration Of Surgery ◽

Before And After

Background: Surgical Site Infection (SSI) is second commonest nosocomial complication in surgical speciality. Majority of surgical wounds are contaminated by microbes, but in most cases, infection does not develop because innate host defense are quite efficient in elimination of contaminants. The objective of this study was to evaluate patient related risk factors in causation of surgical site infection in various abdominal surgeries.Methods: All patients who admitted in surgical OPD/emergency and undergoing abdominal surgical procedures were included in study. This observational study was comprised of 952 subjects. Patients were observed in wards and during follow up to assess signs and symptoms of surgical site infection.Results: Result were analysed in terms of age, sex, distribution of cases based on case scenario (elective v/s emergency), wound class, type of surgery (laparoscopic v/s open), smoking, diabetes, duration of surgery, complete hemogram before and after blood transfusion, number of blood transfusions, albumin, blood sugar level, discharge from surgical site, number of days of drains, stoma and hospital stay.Conclusions: Surgical site infection in emergency cases were found to be higher as compared to elective cases. Occurrence of SSI proportionately increased with degree of contamination, duration of surgery and age of patients. Laparoscopic procedures showed fewer incidences of surgical site infection as compared to open procedures. Various factors showed statistically significant association with surgical site infections were diabetes, smoking, blood transfusions, haemoglobin and albumin levels. Presence of stomas and drains were associated with increased incidence of SSI but could not be proven statistically.

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Bone Density is an Important Influence Factor: An Analysis of Perioperative Hidden Blood Loss in Femoral Intertrochanteric Fractures

10.21203/rs.3.rs-22713/v1 ◽

2020 ◽

Author(s):

Haidong Cui ◽

Shujun Lv ◽

Chaoqun Yuan ◽

Kai Chen

Keyword(s):

Risk Factors ◽

Bone Density ◽

Blood Loss ◽

Internal Fixation ◽

Linear Regression Analysis ◽

Intertrochanteric Fractures ◽

Hidden Blood Loss ◽

Related Risk ◽

Anticoagulant Drugs ◽

Before And After

Abstract [Background] The hemoglobin level of patients after operation has a great relationship with the hidden blood loss. We undertake this study to explore the influencing factors of perioperative hidden blood loss of intertrochanteric fractures.[Methods] Retrospective analysis of our hospital from January 2016 to October 2019, Clinical data of 118 patients with intertrochanteric fractures meeting the inclusion criteria. Hidden blood loss is calculated from the hematocrit changes before and after surgery, using the Gross equation, based on height, weight, and hematocrit (HCT) changes before and after surgery. Patients’ gender, age, presence of underlying diseases (hypertension and diabetes), fracture types, internal fixation methods, anesthesia methods, time from injury to surgery, whether to take antiplatelet drugs within 6 months before surgery, use of anticoagulant drugs after surgery, bone density were statistically analyzed. The factors with statistical significance were screened out, and then the hidden blood loss was used as the dependent variable and each influencing factor was the independent variable. Multivariate linear regression analysis was used to analyze the related risk factors that affect the hidden blood loss during the perioperative period of intertrochanteric fractures.[Results] The apparent blood loss during operation was (203.81 ± 105. 51) ml, and the hidden blood loss was (517.55 ± 191.47) ml. There are significant differences in the hidden blood loss of patients with different internal fixation methods, fracture types, anesthesia methods, antiplatelet or postoperative anticoagulant drugs, and different bone density(P༜0. 05). Multiple linear regression analysis showed that internal fixation, age, fracture type, anesthesia method, anticoagulant application, and bone density were related risk factors that affected hidden blood loss during surgical treatment of intertrochanteric fracture.[Conclusions] Hidden blood loss is the main cause of perioperative blood loss in intertrochanteric fractures, and the risk factors for hidden blood loss include internal fixation, fracture type, anesthesia, use of anticoagulant drugs, and bone density in special. It is not reliable to use the apparent blood loss as the basis for fluid replacement and transfusion. We must fully consider the existence of hidden blood loss and intervene as soon as possible to prevent complications.Fund support: Scientific research project of nantong municipal science and technology bureau (MSZ19024).Scientific research project of nantong health bureau (QB2019013).Support for literature search.

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