Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Anwar E. Ahmed is active.

Publication


Featured researches published by Anwar E. Ahmed.


Journal of epidemiology and global health | 2014

Validation of the Arabic version of the Epworth Sleepiness Scale

Anwar E. Ahmed; Abdulhamid Fatani; Abdullah Al-Harbi; Abdullah Al-Shimemeri; Yosra Z. Ali; Salim Baharoon; Hamdan Al-Jahdali

Background: The Epworth Sleepiness Scale (ESS) is a questionnaire widely used in developed countries to measure daytime sleepiness and diagnose sleep disorders. Objective: This study aimed to develop an ESS questionnaire for the Arabic population (ArESS), to determine ArESS internal consistency, and to measure ArESS test–retest reproducibility. It also investigated whether the normal range of ESS scores of healthy people in different cultures are similar. Methods: The original ESS questionnaire was translated from English to Arabic and back-translated to English. In both the English and Arabic translations of the survey, ESS consists of eight different situations. The subject was asked to rate the chance of dozing in each situation on a scale of 0–3 with total scores ranging between 0 (normal sleep) and 24 (very sleepy). An Arabic translation of the ESS questionnaire was administered to 90 healthy subjects. Results: Item analysis revealed high internal consistency within ArESS questionnaire (Cronbach’s alpha = 0.86 in the initial test, and 0.89 in the retest). The test–retest intra-class correlation coefficient (ICC) shows that the test–retest reliability was substantially high: ICC = 0.86 (95% confidence interval: 0.789–0.909, p-value < 0.001). The difference in ArESS scores between the initial test and retest was not significantly different from zero (average difference = −0.19, t = −0.51, df = 89, p-value = 0.611). In this study, the averages of the ESS scores (6.3 ± 4.7, range 0–20 in the initial test and 6.5 ± 5.3, range 0–20 in the retest) are considered high in Western cultures. Conclusions: The study shows that the ArESS is a valid and reliable tool that can be used in Arabic-speaking populations to measure daytime sleepiness. The current study has shown that the average ESS score of healthy Arabian subjects is significantly higher than in Western cultures.


International Journal of Infectious Diseases | 2017

Diagnostic delays in 537 symptomatic cases of Middle East respiratory syndrome coronavirus infection in Saudi Arabia

Anwar E. Ahmed

Abstract Background Although the literature indicates that patient delays in seeking medical support for Middle East respiratory syndrome coronavirus (MERS-CoV) infections are associated with poor clinical outcomes, delays in the diagnosis itself remain poorly understood in these patients. This study aimed to determine the median time interval from symptom onset to a confirmed diagnosis and to identify the potential predictors of this interval in Saudi Arabian MERS patients. Methods This was a retrospective study of patients with confirmed MERS who were publicly reported by the World Health Organization (WHO). Results Five hundred and thirty-seven symptomatic cases of MERS-CoV infection were included. The median time interval between symptom onset and confirmation of the MERS diagnosis was 4 days (interquartile range 2–7 days), ranging from 0 to 36 days. According to the negative binomial model, the unadjusted rate ratio (RR) of delays in the diagnosis was significantly higher in older patients (>65 years) (RR 1.42), non-healthcare workers (RR 1.74), patients with severe illness (RR 1.22), those with an unknown source of infection (RR 1.84), and those who had been in close contact with camels (RR 1.74). After accounting for confounders, the adjusted rate ratio (aRR) of delays in the diagnosis was independently associated with unknown source of infection (aRR 1.68) and close contact with camels (aRR 1.58). Conclusions The time interval from symptom onset to diagnosis was greater in older patients, non-healthcare workers, patients with severe illness, patients with an unknown source of infection, and patients who had been in close contact with camels. The findings warrant educational interventions to raise general public awareness of the importance of early symptom notification.


Journal of Infection and Public Health | 2013

Comparison of the tuberculin skin test and Quanti-FERON-TB Gold In-Tube (QFT-G) test for the diagnosis of latent tuberculosis infection in dialysis patients

Hamdan Al Jahdali; Anwar E. Ahmed; Hanan H. Balkhy; Salim Baharoon; Fayez Hejaili; Ali H. Hajeer; Ziad Memish; S Binsalih; Abdullah Al Sayyari

Dialysis patients are more likely than the general population to develop active tuberculosis (TB). In these patients, the availability of a highly sensitive and specific test to diagnose latent TB will ensure earlier treatment and decreased progression to active disease. In the current study, the Quanti-FERON-TB Gold In-Tube (QFT-G) test was compared with the tuberculin skin test (TST) for the diagnosis of latent tuberculosis infection (LTBI) among 200 hemodialysis patients and 15 confirmed TB disease cases in a tertiary care center in Saudi Arabia. Among the LTBI cases, 26 (13%) were TST positive, and 65 (32.5%) were positive by the QTF-G test, with an overall agreement between the 2 tests of 75.5% (k=0.34) being observed. Among the confirmed tuberculosis disease cases, none were positive by TST, and 10 (66.7%) were positive by the QTF-G test, resulting in an overall agreement of 33.3% (k=0). A comparison between the TST and the QTF-G test was performed based on the sensitivity, specificity, and area under the curve (AUC) obtained for the tests. The QTF-G test was more sensitive and less specific than the TST in predicting the confirmed TB disease cases. When we tested the correspondence of the AUC values between the 2 diagnostic modalities, the obtained p-value was 0.0003. In conclusion, the AUCs of the examined diagnostic modalities are significantly different in predicting LTBI and tuberculosis.


Indian Journal of Health Sciences and Care | 2016

Detection of All the Four Serotypes of Dengue Virus in New Delhi, India During Post Monsoon Season of 2015

Arshi Islam; Mohd Abdullah; Ayesha Tazeen; Nazia Afreen; Farah Deeba; Irshad HussainNaqvi; Syed Naqvi Kazim; Shobha Broor; Anwar E. Ahmed; Shama Parveen

Dengue fever is the most widespread arthropod borne viral infection in India. Delhi, the capital of India is endemic for dengue viruses because all the four serotypes are reported from here. The present report describes the identification of dengue viruses in blood samples collected from suspected patients from New Delhi, India, during post monsoon season of 2015. Dengue virus was detected in 29% of the samples tested by RT-PCR. All the four serotypes of DENV were identified in the study with 66.66% of the samples positive for DENV-2, 22.22% for DENV-1 and 16.7% each for DENV-3 and DENV-4. The pre-dominance of DENV2 serotype was observed in the study. Co-infection with more than one serotype was also observed in 22.22% of the samples with 16.7% samples positive for DENV-1 and DENV-2 and 5.55% for DENV-2 and DENV-4. Our results showed that maximum number of the dengue positive cases was observed in the 21–30 years age group. Further, DNA sequencing of the individual serotypes will provide information on the circulating genotypes in this region. Additionally, correlation of disease severity with different serotypes and concurrent infections will provide intellectual enrichment on the pathogenesis of this viral pathogen. Surveillance and monitoring of the DENV serotypes and their associated genotypes will contribute to formulation of control measures.


Rivista Di Neuroradiologia | 2015

Accuracy of Canadian CT head rule in predicting positive findings on CT of the head of patients after mild head injury in a large trauma centre in Saudi Arabia.

Ala Faisal Arab; Muhammad Ejaz Ahmed; Anwar E. Ahmed; Mohamed Ahmed Hussein; Azzam A Khankan; Riyadh Nasser Alokaili

Background Investigation of unjustified computed tomography (CT) scan in patients with minor head injury is lacking in Saudi Arabia. The purpose of the study was to evaluate the compliance and effectiveness of the Canadian computed tomography head rule (CCHR) in our emergency department (ED) and trauma centre and also to reduce the number of unjustified CT studies of the head in the centre. Methods A retrospective study of 368 ED patients with minor head injury was conducted. Patients who underwent CT scan between July 2010 and June 2011were selected from the ED head trauma registry by systematic randomisation. The CCHR was retrospectively applied on the patients’ charts to calculate the prevalence of unjustified head CT scans. A separate survey was conducted to evaluate three emergency physicians’ level of awareness about the CCHR and their ability to determine the necessity of CT scans with various clinical scenarios of head injury. Results The prevalence of unjustified CT scans as per the CCHR was 61.8% (95% confidence interval (CI) 56.5–66.9%). Approximately 5% of the sample had positive CT findings with 95% CI 2.9–7.6%. The CCHR correctly identified 12 cases with positive CT findings with 66.67% sensitivity. Only 24 (6.7%) had Glasgow coma scale scores less than 15 (13/14). The Glasgow coma scale correctly identified only two cases with positive CT findings with 11.11% sensitivity. The percentage of skull fracture (0.9% vs 5%, P = 0.030) was significantly lower in patients with unjustified CT scans than in patients with clinically justified CT scans. There was fair to substantial agreement between the ED physicians and the CCHR (κ = 35–61%). Two ED physicians identified all cases of justified CT scan with 100% sensitivity (95% CI 71.51–100%). Conclusion The level of education regarding the CCHR was found to be optimal among emergency physicians using a case-based scenario survey. The CCHR was found to have a poor compliance potential in the busy ED of our trauma centre and the prevalence of unjustified cranial CT scans remained high.


Health and Quality of Life Outcomes | 2015

Health-related quality of life in patients with sickle cell disease in Saudi Arabia

Anwar E. Ahmed; Ahmed Alaskar; Ahmad M. Al-Suliman; Abdul-Rahman Jazieh; Donna K. McClish; Majid Al Salamah; Yosra Z. Ali; Hafiz Malhan; May Anne Mendoza; Abdulrahman O. Gorashi; Mohamed E. El-toum; Wala E. El-toum

BackgroundThere is a lack of research concerning health-related quality of life (HRQoL) in Saudi patients with sickle cell disease (SCD), particularly among adult populations. The aim of the current study was to describe the characteristics of SCD patients and their impact on their quality of life (QoL).MethodsSix hundred twenty-nine adult SCD patients who attended King Fahad Hospital in Hofuf and King Fahad Central Hospital in Jazan were included in the analysis. Demographic/clinical data were collected and an Arabic version of the Medical Outcomes 36-Item Short-Form Health Survey (SF-36) questionnaire was used to assess QoL.ResultsSCD patients who hold a university degree reported positive impacts on the following domains of SF-36: physical role function, vitality, emotional well being, social function, pain reduction, and general health (P = .002, P = .001, P = .001, P = .003, P = .004, and P = .001, respectively). In general, patients with fever, skin redness, swelling, or history of blood transfusion tended to impair the health status of the SF-36. A multivariate analysis revealed that patients with a university degree tended to report high scores of physical role functions, emotional role function, and vitality. Patients with regular exercise tend to increase vitality, social function, general health, and reduce pain. Unemployment tends to lessen vitality and worsen pain. On average, pain, social function, and physical function scores tended to worsen in patients with swelling or history of blood transfusion.ConclusionsThis study highlighted that poor education, fever, skin redness, and swelling were negatively associated with specific components of SF-36. SCD patients with a history of blood transfusion found their QoL poorer, whereas regular exercise tended to improve QoL.


Breast Cancer: Targets and Therapy | 2017

The predictors of poor quality of life in a sample of Saudi women with breast cancer

Anwar E. Ahmed; Abdulrahman G. Alharbi; Mohannad A. Alsadhan; Alaa Sunaid Almuzaini; Hanin S. Almuzaini; Yosra Z. Ali; Abdul-Rahman Jazieh

Background The protocols for treatment, along with many adverse effects, can strongly affect cancer patients’ quality of life (QoL). As there is limited research on the QoL of Saudi Arabian women being treated for breast cancer, the purpose of this study was to identify the predictors of poor QoL in a sample of Saudi women with breast cancer. Methods A cross-sectional study was conducted on 145 Saudi women with breast cancer who attended the Oncology Outpatient Clinic at King Abdulaziz Medical City, Riyadh for routine follow-up. Sociodemographic and clinical data were collected for each patient, and a Medical Outcome Study Health Survey 36-Item Short Form (SF-36) instrument was used to assess QoL. Results Of 145 breast cancer patients studied, 42.1% had a family history of cancer and 52.4% were newly diagnosed cancer patients (first-year-after-cancer diagnosis). According to linear regression analyses, cancer patients with metastasis tended to have pain, along with poor physical function, little vitality, and poor general health (a decrease in SF-36 scores of 22.9, 15.0, 19.4, and 16.9, respectively). Regular exercise was a positive predictor of poor general health (an increase in the SF-36 score of 8.2). Patients with first-year-after-cancer diagnoses tended to have poor emotional well-being (a decrease in the SF-36 score of 8.5). Conclusion In breast cancer patients, regular exercise was a significant positive predictor of better general health. Breast cancer patients with multiple tumors, metastasis, or fever tended to experience significantly poor QoL in several SF-36 domains. Clearly, a routine assessment of QoL in breast cancer patients is important.


Statistics in Medicine | 2011

Accuracy and cost comparison in medical testing using sequential testing strategies

Anwar E. Ahmed; Donna K. McClish; Christine M. Schubert

The practice of sequential testing is followed by the evaluation of accuracy, but not by the evaluation of cost. This paper focuses on three logic rules for combining two sequences of tests: believe the positive (BP), which diagnoses disease if any of two tests is positive, believe the negative (BN), which diagnoses disease if any of two tests is negative, and believe the extreme (BE), which diagnoses disease if the first test is positive or, after a first inconclusive test, a second test is positive for disease. Comparisons of these strategies are provided in terms of accuracy using false positive rate, sensitivity pairs that make up the maximum receiver operating characteristic curve, and cost of testing, defined as the proportion of subjects needing two tests to diagnose disease. A method to incorporate the cost of testing into the definition of the optimal operating point is also presented. The performance of the testing strategies is examined with respect to the ratio of standard deviations and the correlation between test results under the bivariate normal assumptions. Under all parameter settings, the maximum receiver operating characteristic curve of the BE strategy never performed worse than the BN and BP strategies; the BE strategy also had the lowest cost. The use of body mass index and plasma glucose concentration to diagnose diabetes in Pima Indians was presented as a real-world application. The optimal operating points found by the BN and BE strategies produce lower false positive rate values than the BP strategy for these data.


International Journal of Infectious Diseases | 2018

Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia

Anwar E. Ahmed; Hamdan Al-Jahdali; Abeer N. Alshukairi; Mody Alaqeel; Salma S. Siddiq; Hanan A. Alsaab; Ezzeldin A. Sakr; Hamed A. Alyahya; Munzir M. Alandonisi; Alaa T. Subedar; Nouf M. Aloudah; Salim Baharoon; Majid Alsalamah; Sameera M. Al Johani; Mohammed G. Alghamdi

Abstract Background The rapid and accurate identification of individuals who are at high risk of Middle East respiratory syndrome coronavirus (MERS-CoV) infection remains a major challenge for the medical and scientific communities. The aim of this study was to develop and validate a risk prediction model for the screening of suspected cases of MERS-CoV infection in patients who have developed pneumonia. Methods A two-center, retrospective case–control study was performed. A total of 360 patients with confirmed pneumonia who were evaluated for MERS-CoV infection by real-time reverse transcription polymerase chain reaction (rRT-PCR) between September 1, 2012 and June 1, 2016 at King Abdulaziz Medical City in Riyadh and King Fahad General Hospital in Jeddah, were included. According to the rRT-PCR results, 135 patients were positive for MERS-CoV and 225 were negative. Demographic characteristics, clinical presentations, and radiological and laboratory findings were collected for each subject. Results A risk prediction model to identify pneumonia patients at increased risk of MERS-CoV was developed. The model included male sex, contact with a sick patient or camel, diabetes, severe illness, low white blood cell (WBC) count, low alanine aminotransferase (ALT), and high aspartate aminotransferase (AST). The model performed well in predicting MERS-CoV infection (area under the receiver operating characteristics curves (AUC) 0.8162), on internal validation (AUC 0.8037), and on a goodness-of-fit test (p =0.592). The risk prediction model, which produced an optimal probability cut-off of 0.33, had a sensitivity of 0.716 and specificity of 0.783. Conclusions This study provides a simple, practical, and valid algorithm to identify pneumonia patients at increased risk of MERS-CoV infection. This risk prediction model could be useful for the early identification of patients at the highest risk of MERS-CoV infection. Further validation of the prediction model on a large prospective cohort of representative patients with pneumonia is necessary.


Protein and Peptide Letters | 2016

Glycation Induced Generation of Amyloid Fibril Structures by Glucose Metabolites.

Mohammad Sakirul Islam Khan; Nayyar Rabbani; Shams Tabrez; Badar ul Islam; Ajamaluddin Malik; Anwar E. Ahmed; Mohammad A. Alsenaidy; Abdulrahman M. Alsenaidy

The non-enzymatic reaction (glycation) of reducing sugars with proteins has received increased interest in dietary and therapeutic research lately. In the present work, the impact of glycation on structural alterations of camel serum albumin (CSA) by different glucose metabolites was studied. Glycation of CSA was evaluated by specific fluorescence of advanced glycation end-products (AGEs) and determination of available amino groups. Further, conformational changes in CSA during glycation were also studied using 8-analino 1-nephthlene sulfonic acid (ANS) binding assay, circular dichroism (CD) and thermal analysis. Intrinsic fluorescence measurement of CSA showed a 22 nm red shift after methylglyoxal treatment, suggesting glycation induced denaturation of CSA. Rayleigh scattering analysis showed glycation induced turbidity and aggregation in CSA. Furthermore, ANS binding to native and glycated-CSA reflected perturbation in the environment of hydrophobic residues. However, CD spectra did not reveal any significant modifications in the secondary structure of the glycated-CSA. Thioflavin T (ThT) fluorescence of CSA increased after glycation, illustrated cross β-structure and amyloid formation. Transmission electron microscopy (TEM) analysis further reaffirms the formation of aggregate and amyloid. In summary, glucose metabolites induced conformational changes in CSA and produced aggregate and amyloid structures.

Collaboration


Dive into the Anwar E. Ahmed's collaboration.

Top Co-Authors

Avatar

Hamdan Al-Jahdali

King Saud bin Abdulaziz University for Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Yosra Z. Ali

King Saud bin Abdulaziz University for Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Salim Baharoon

King Saud bin Abdulaziz University for Health Sciences

View shared research outputs
Top Co-Authors

Avatar

Donna K. McClish

Virginia Commonwealth University

View shared research outputs
Top Co-Authors

Avatar

Abdullah Al-Harbi

King Saud bin Abdulaziz University for Health Sciences

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Majid Alsalamah

King Saud bin Abdulaziz University for Health Sciences

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ahmed Alaskar

King Saud bin Abdulaziz University for Health Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge