Adam Zaki Khan

Dr. Adam Zaki Khan

orcid

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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6 November 2019 in Journal of Bone and Joint Surgery
Verified
Journal Article
Closed access
AAAlexander W. Aleem
Alexander W. Aleem
PCPeter N. Chalmers
Peter N. Chalmers
DBDaniel Bechtold
Daniel Bechtold
AKAdam Zaki Khan
Adam Zaki Khan
RTRobert Z. Tashjian
Robert Z. Tashjian
JKJay D. Keener
Jay D. Keener
Background: Although glenoid morphology has been associated with fatty infiltration of the rotator cuff in arthritic shoulders, the association of rotator cuff muscle area with specific patterns of glenoid wear has not been studied. The purpose of our study was to assess the associations of glenoid deformity in primary glenohumeral osteoarthritis and rotator cuff muscle area. Methods: A retrospective study of 370 computed tomographic (CT) scans of osteoarthritic shoulders was performed. Glenoid deformity according to the modified Walch classification was determined, and retroversion, inclination, and humeral-head subluxation were calculated using automated 3-dimensional software. Rotator cuff muscle area was measured on sagittal CT scan reconstructions. A ratio of the area of the posterior rotator cuff muscles to the subscapularis was calculated to approximate axial plane potential force imbalance. Univariate and multivariate analyses to determine associations with glenoid bone deformity and rotator cuff measurements were performed. Results: Patient age and sex were significantly related to cuff muscle area across glenoid types. Multivariate analysis did not find significant differences in individual rotator cuff cross-sectional areas across glenoid types, with the exception of a larger supraspinatus area in Type-B2 glenoids compared with Type-A glenoids (odds ratio [OR], 1.5; p = 0.04). An increased ratio of the posterior cuff area to the subscapularis area was associated with increased odds of a Type-B2 deformity (OR, 1.3; p = 0.002). Similarly, an increase in this ratio was significantly associated with increased glenoid retroversion (beta = 0.92; p = 0.01) and humeral-head subluxation (beta = 1.48; p = 0.001). Within the Type-B glenoids, only posterior humeral subluxation was related to the ratio of the posterior cuff to the subscapularis (beta = 1.15; p = 0.001). Conclusions: Age and sex are significantly associated with cuff muscle area in arthritic shoulders. Asymmetric glenoid wear and humeral-head subluxation in osteoarthritis are associated with asymmetric atrophy within the rotator cuff transverse plane. Increased posterior rotator cuff muscle area compared with anterior rotator cuff muscle area is associated with greater posterior glenoid wear and subluxation. It is unclear if the results are causative or associative; further research is required to clarify the relationship. Level of Evidence: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

1 December 2017 in Arthroplasty Today
Verified
Journal Article
Open access
AKAdam Zaki Khan
Adam Zaki Khan
BKBenjamin V. Kelley
Benjamin V. Kelley
APAnkur D. Patel
Ankur D. Patel
DMDavid R. McAllister
David R. McAllister
NLNatalie L. Leong
Natalie L. Leong
The Hirsch index (h-index) is a measure that evaluates both research volume and quality-taking into consideration both publications and citations of a single author. No prior work has evaluated academic productivity and contributions to the literature of adult total joint replacement surgeons. This study uses h-index to benchmark the academic impact and identify characteristics associated with productivity of faculty members at joint replacement fellowships. Adult reconstruction fellowship programs were obtained via the American Association of Hip and Knee Surgeons website. Via the San Francisco match and program-specific websites, program characteristics (Accreditation Council for Graduate Medical Education approval, academic affiliation, region, number of fellows, fellow research requirement), associated faculty members, and faculty-specific characteristics (gender, academic title, formal fellowship training, years in practice) were obtained. H-index and total faculty publications served as primary outcome measures. Multivariable linear regression determined statistical significance. Sixty-six adult total joint reconstruction fellowship programs were identified: 30% were Accreditation Council for Graduate Medical Education approved and 73% had an academic affiliation. At these institutions, 375 adult reconstruction surgeons were identified; 98.1% were men and 85.3% had formal arthroplasty fellowship training. Average number of publications per faculty member was 50.1 (standard deviation 76.8; range 0-588); mean h-index was 12.8 (standard deviation 13.8; range 0-67). Number of fellows, faculty academic title, years in practice, and formal fellowship training had a significant (P < .05) positive correlation with both h-index and total publications. The statistical overview presented in this work can help total joint surgeons quantitatively benchmark their academic performance against that of their peers.

6 January 2025 in The American Journal of Sports Medicine
Verified
Journal Article
Closed access
MFMohamad Y. Fares
Mohamad Y. Fares
MDMohammad Daher
Mohammad Daher
PBPeter Boufadel
Peter Boufadel
AKAdam Zaki Khan
Adam Zaki Khan
JAJoseph A. Abboud
Joseph A. Abboud
Background: Liposomal bupivacaine (LB) is a relatively novel anesthetic agent used in the management of postoperative pain in patients who have undergone shoulder surgery. Purpose: To explore the literature on LB in the setting of shoulder surgery and assess its efficacy and utility in managing postoperative pain. Study Design: Systematic review and meta-analysis; Level of evidence, 1. Methods: PubMed, Cochrane, and Google Scholar (pp 1-20) were searched for articles published up to November 2023. Inclusion criteria consisted of randomized controlled trials comparing anesthetic modalities using LB with other anesthetic modalities using alternative drugs in patients who underwent shoulder surgery. Complications, pain levels in the first 24 hours postoperatively, and opioid consumption intraoperatively and in the first, second, and third 24 hours postoperatively were assessed. Results: A total of 15 randomized controlled trials were included in the meta-analysis. In 4 studies comparing periarticular injections of LB (196 patients) with nerve blocks of other anesthetic agents (201 patients), there was no significant difference in pain levels ( P = .74) and complication rates ( P = .37); however, intraoperative opioid consumption was significantly greater in patients with periarticular injections of LB ( P = .005). In 3 studies comparing single-injection LB nerve blocks (83 patients) with interscalene nerve block catheters (102 patients) and in 8 studies comparing single-injection LB nerve blocks (311 patients) with other nerve blocks (308 patients), single-injection LB nerve blocks demonstrated clinical superiority. Single-injection LB nerve blocks resulted in significantly lower pain levels and lower opioid consumption in the first, second, and third 24 hours postoperatively compared with other single-injection nerve blocks and both single-injection nerve blocks and interscalene catheters combined. Conclusion: LB is a promising anesthetic component with efficacy in providing analgesia after shoulder surgery. Single-injection LB nerve blocks were found to be superior in reducing pain levels and opioid consumption compared with other anesthetic modalities.

1 March 2020 in JSES International
Verified
Journal Article
Open access
AMAlexander Martusiewicz
Alexander Martusiewicz
AKAdam Zaki Khan
Adam Zaki Khan
ACAaron M. Chamberlain
Aaron M. Chamberlain
JKJay D. Keener
Jay D. Keener
AAAlexander W. Aleem
Alexander W. Aleem
In the setting of the opioid epidemic, physicians continue to scrutinize ways to minimize exposure to narcotic medications. Several studies emphasize improvements in perioperative pain management following total shoulder arthroplasty (TSA). However, there is a paucity of literature describing outpatient narcotic consumption requirements following TSA. A single-institution, prospective study of patients undergoing primary TSA was performed. Preoperative demographics including exposure to narcotics, smoking history, and alcohol exposure were collected. The primary outcome was measurement of total outpatient narcotic consumption 6 weeks from surgery. Narcotic consumption was verified by counting leftover pills at the final follow-up visit. Overall, 50 patients were enrolled. The median narcotic consumption in the cohort was 193 morphine equivalent units (MEUs), approximately 25 (5-mg) tablets of oxycodone, and the mean consumption was 246 MEUs, approximately 32 (5-mg) tablets. Almost 25% of patients consumed fewer than 10 total tablets, with 10% of patients taking no narcotics at home. Multivariate regression found preoperative narcotic exposure associated with increased consumption of 31 MEUs (P = .004). Older age was found to be protective of narcotic consumption, with increasing age by 1 year associated with 0.75 MEU decrease in consumption (P = .04). Anatomic total shoulder arthroplasty in general provides quick, reliable pain relief and does not require a significant amount of narcotic medication postoperatively. For most patients, it is reasonable to prescribe the equivalent of 25-30 (5-mg) oxycodone tablets following TSA.

1 January 2019 in Complexity
Verified
Journal Article
Open access
PDF file
RNRashid Nawaz
Rashid Nawaz
LZLaiq Zada
Laiq Zada
AKAbraiz Khattak
Abraiz Khattak
MJMuhammad Jibran
Muhammad Jibran
AKAdam Khan
Adam Khan
In this paper, the Optimal Homotopy Asymptotic Method is extended to derive the approximate solutions of fractional order two‐dimensional partial differential equations. The fractional order Zakharov–Kuznetsov equation is solved as a test example, while the time fractional derivatives are described in the Caputo sense. The solutions of the problem are computed in the form of rapidly convergent series with easily calculable components using Mathematica. Reliability of the proposed method is given by comparison with other methods in the literature. The obtained results showed that the method is powerful and efficient for determination of solution of higher‐dimensional fractional order partial differential equations.

1 August 2024 in JBJS Reviews
Verified
Journal Article
Closed access
MFMohamad Fares
Mohamad Fares
HLHarry H. Liu
Harry H. Liu
Ana Paula Beck da Silva EtgesAna Paula Beck da Silva Etges
Ana Paula Beck da Silva Etges
BZBenjamin Zhang
Benjamin Zhang
JWJon J.P. Warner
Jon J.P. Warner
OGon behalf of The Avant-Garde Health and Codman Society Value-Based Care Group
on behalf of The Avant-Garde Health and Codman Society Value-Based Care Group
Background: Numerous applications and strategies have been utilized to help assess the trends and patterns of readmissions after orthopaedic surgery in an attempt to extrapolate possible risk factors and causative agents. The aim of this work is to systematically summarize the available literature on the extent to which natural language processing, machine learning, and artificial intelligence (AI) can help improve the predictability of hospital readmissions after orthopaedic and spine surgeries.Methods: This is a systematic review and meta-analysis. PubMed, Embase and Google Scholar were searched, up until August 30, 2023, for studies that explore the use of AI, natural language processing, and machine learning tools for the prediction of readmission rates after orthopedic procedures. Data regarding surgery type, patient population, readmission outcomes, advanced models utilized, comparison methods, predictor sets, the inclusion of perioperative predictors, validation method, size of training and testing sample, accuracy, and receiver operating characteristics (C-statistic), among other factors, were extracted and assessed.Results: A total of 26 studies were included in our final dataset. The overall summary C-statistic showed a mean of 0.71 across all models, indicating a reasonable level of predictiveness. A total of 15 articles (57%) were attributed to the spine, making it the most commonly explored orthopaedic field in our study. When comparing accuracy of prediction models between different fields, models predicting readmissions after hip/knee arthroplasty procedures had a higher prediction accuracy (mean C-statistic = 0.79) than spine (mean C-statistic = 0.7) and shoulder (mean C-statistic = 0.67). In addition, models that used single institution data, and those that included intraoperative and/or postoperative outcomes, had a higher mean C-statistic than those utilizing other data sources, and that include only preoperative predictors. According to the Prediction model Risk of Bias Assessment Tool, the majority of the articles in our study had a high risk of bias.Conclusion: AI tools perform reasonably well in predicting readmissions after orthopaedic procedures. Future work should focus on standardizing study methodologies and designs, and improving the data analysis process, in an attempt to produce more reliable and tangible results.Level of Evidence: Level III. See Instructions for Authors for a complete description of levels of evidence.