Commonly Drawn Immunologic and Inflammatory Markers as Risk Predictors for Anal Cancer in Veterans Living With HIV.

OBJECTIVES: This study aimed to determine if immune inflammatory markers (neutrophil lymphocyte ratio [NLR], platelet lymphocyte ratio [PLR], and prognostic nutritional index [PNI]) correlate with anal cancer risk in people living with HIV and to compare these markers with the CD4/CD8 ratio. MATERIALS AND METHODS: This is a regional retrospective cohort study of veterans living with HIV who were screened for or diagnosed with anal neoplasia or cancer from 2001 to 2019. The NLR, PLR, PNI, and CD4/CD8 ratio within 1 year of anal pathology results were computed. Patients with anal cancer were compared to patients without anal cancer. Regression modeling was used to estimate the odds of developing anal cancer. RESULTS: Three hundred thirty-four patients were included (37 with anal cancer, 297 without anal cancer). In patients with anal cancer, NLR and PLR were higher (2.17 vs 1.69, p = .04; 140 vs 110, p = .02, respectively), while PNI and CD4/CD8 ratio were lower (44.65 vs 50.01, p < .001; 0.35 vs 0.80, p < .001, respectively). On multivariate logistic regression modeling, only PNI (odds ratio, 0.90; p = .001) and CD4/CD8 ratio (odds ratio, 0.05; p < .001) were associated with increased anal cancer risk. CONCLUSIONS: Although NLR and PLR independently correlate with anal cancer risk, when controlling for other risk predictors, only PNI and CD4/CD8 ratio were statistically significant biomarkers for anal cancer. The CD4/CD8 ratio is the strongest immune inflammatory marker that predicts risk of anal cancer among veterans living with HIV.

Factors Associated With Performing IPAA After Total Colectomy for Ulcerative Colitis.

BACKGROUND: IPAA is considered the procedure of choice for restorative surgery after total colectomy for ulcerative colitis. Previous studies have examined the rate of IPAA within individual states but not at the national level in the United States. OBJECTIVE: This study aimed to assess the rate of IPAA after total colectomy for ulcerative colitis in a national population and identify factors associated with IPAA. DESIGN: This was a retrospective cohort study. SETTINGS: This study was performed in the United States. PATIENTS: Patients who were aged 18 years or older and who underwent total colectomy between 2009 and 2019 for a diagnosis of ulcerative colitis were identified within a commercial database. This database excluded patients with public insurance, including all patients older than 65 years with Medicare. MAIN OUTCOME MEASURES: The primary outcome was IPAA. Multivariable logistic regression was used to assess the association between covariates and the likelihood of undergoing IPAA. RESULTS: In total, 2816 patients were included, of whom 1414 (50.2%) underwent IPAA, 928 (33.0%) underwent no further surgery, and 474 (16.8%) underwent proctectomy with end ileostomy. Younger age, lower comorbidities, elective case, and laparoscopic approach in the initial colectomy were significantly associated with IPAA but socioeconomic status was not. LIMITATIONS: This retrospective study included only patients with commercial insurance. CONCLUSIONS: A total of 50.2% of patients who had total colectomy for ulcerative colitis underwent IPAA, and younger age, lower comorbidities, and elective cases are associated with a higher rate of IPAA placement. This study emphasizes the importance of ensuring follow-up with colorectal surgeons to provide the option of restorative surgery, especially for patients undergoing urgent or emergent colectomies. See Video Abstract . FACTORES ASOCIADOS CON LA REALIZACIN DE ANASTOMOSIS ANALBOLSA ILEAL DESPUS DE UNA COLECTOMA TOTAL POR COLITIS ULCEROSA: ANTECEDENTES:La anastomosis ileo-anal se considera el procedimiento de elección para la cirugía reparadora tras la colectomía total por colitis ulcerosa. Estudios previos han examinado la tasa de anastomosis ileo-anal dentro de los estados individuales, pero no a nivel nacional en los Estados Unidos.OBJETIVO:Evaluar la tasa de anastomosis bolsa ileal-anal después de la colectomía total para la colitis ulcerosa en una población nacional e identificar los factores asociados con la anastomosis bolsa ileal-anal.DISEÑO:Se trata de un estudio de cohortes retrospectivo.LUGAR:Este estudio se realizó en los Estados Unidos.PACIENTES:Los pacientes que tenían ≥18 años de edad que se sometieron a colectomía total entre 2009 y 2019 para un diagnóstico de colitis ulcerosa fueron identificados dentro de una base de datos comercial. Esta base de datos excluyó a los pacientes con seguro público, incluidos todos los pacientes >65 años con Medicare.MEDIDAS DE RESULTADO PRINCIPALES:El resultado primario fue la anastomosis ileal bolsa-anal. Se utilizó una regresión logística multivariable para evaluar la asociación entre las covariables y la probabilidad de someterse a una anastomosis ileal.RESULTADOS:En total, se incluyeron 2.816 pacientes, de los cuales 1.414 (50,2%) se sometieron a anastomosis ileo-anal, 928 (33,0%) no se sometieron a ninguna otra intervención quirúrgica y 474 (16,8%) se sometieron a proctectomía con ileostomía terminal. La edad más joven, las comorbilidades más bajas, el caso electivo, y el abordaje laparoscópico en la colectomía inicial se asociaron significativamente con la anastomosis ileal bolsa-anal, pero no el estatus socioeconómico.LIMITACIONES:Este estudio retrospectivo incluyó sólo pacientes con seguro comercial.CONCLUSIONES:Un 50,2% de los pacientes se someten a anastomosis ileo-anal y la edad más joven, las comorbilidades más bajas y los casos electivos se asocian con una mayor tasa de colocación de anastomosis ileo-anal. Esto subraya la importancia de asegurar el seguimiento con cirujanos colorrectales para ofrecer la opción de cirugía reparadora, especialmente en pacientes sometidos a colectomías urgentes o emergentes. (Traducción-Dr. Yolanda Colorado ).

Coaching your faculty and yourself.

Surgical skills vary drastically among practicing surgeons. This variation in skill has been demonstrated to translate directly into patient outcomes, highlighting the importance of skill development. Despite this, directed efforts to improve surgical skills and performance among practicing surgeons remain limited. The development of surgical coaching programs offers an exciting opportunity for surgeon performance improvement and lifelong development. In this article, we will discuss the promise of surgical coaching programs, some of the challenges met when developing a program, and future avenues and opportunities for growth within the field.

The Role of Diversion During Ileal Pouch Anal Anastomosis (IPAA) Creation in Pediatric Ulcerative Colitis.

INTRODUCTION: In pediatric ulcerative colitis (UC), surgery is often postponed until disease is life-threatening or refractory to immune suppression. In these settings, diverting ileostomy (DI) is theorized to have a protective effect on the new anastomosis. However, analyses have been performed only in single-institution series and the true impact of performing DI at the time of IPAA on postoperative outcomes is unclear. METHODS: We performed a retrospective cohort study using claims data from the International Business Machines (IBM) MarketScan® database. Patients were sorted to the DI group if they carried a CPT code for ostomy closure within 6 months of index procedure. We examined demographics, preoperative risk factors, and performed regression analysis to compare 30-day postoperative outcomes between groups. RESULTS: We identified 317 patients ≤18yo that underwent IPAA procedure and met inclusion criteria from 2000 to 2019. Of these, 238 patients were assigned to the IPAA + DI cohort and 79 patients were assigned to the IPAA cohort. Adverse outcomes were comparable between cohorts. Surgical site infection (SSI) rates between IPAA and IPAA + DI were 10.1 vs. 11.3% (p = 0.67). Rates of intra-abdominal drainage procedures were 3.8 vs. 2.1% (p = 0.39). The rates of 30-day readmissions were 16.5 vs. 19.3% (p = 0.39). Creation of a DI was not associated with higher odds of 30-day readmission (OR = 1.4, p = 0.31). CONCLUSION: Creating a DI necessitates an additional surgery for closure and is not associated with decreased adverse outcomes. There is still a role for multicenter studies to define which patient populations may benefit from diversion. LEVEL OF EVIDENCE: Retrospective comparative study. TYPE OF STUDY: Level III.

Prediction of Ureteral Injury During Colorectal Surgery Using Machine Learning.

BACKGROUND: Ureteral injury (UI) is a rare but devastating complication during colorectal surgery. Ureteral stents may reduce UI but carry risks themselves. Risk predictors for UI could help target the use of stents, but previous efforts have relied on logistic regression (LR), shown moderate accuracy, and used intraoperative variables. We sought to use an emerging approach in predictive analytics, machine learning, to create a model for UI. METHODS: Patients who underwent colorectal surgery were identified in the National Surgical Quality Improvement Program (NSQIP) database. Patients were split into training, validation, and test sets. The primary outcome was UI. Three machine learning approaches were tested including random forest (RF), gradient boosting (XGB), and neural networks (NN), and compared with traditional LR. Model performance was assessed using area under the curve (AUROC). RESULTS: The data set included 262,923 patients, of whom 1519 (.578%) experienced UI. Of the modeling techniques, XGB performed the best, with an AUROC score of .774 (95% CI .742-.807) compared with .698 (95% CI .664-.733) for LR. Random forest and NN performed similarly with scores of .738 and .763, respectively. Type of procedure, work RVUs, indication for surgery, and mechanical bowel prep showed the strongest influence on model predictions. CONCLUSIONS: Machine learning-based models significantly outperformed LR and previous models and showed high accuracy in predicting UI during colorectal surgery. With proper validation, they could be used to support decision making regarding the placement of ureteral stents preoperatively.

Improved Prediction of Surgical-Site Infection After Colorectal Surgery Using Machine Learning.

BACKGROUND: Surgical-site infection is a source of significant morbidity after colorectal surgery. Previous efforts to develop models that predict surgical-site infection have had limited accuracy. Machine learning has shown promise in predicting postoperative outcomes by identifying nonlinear patterns within large data sets. OBJECTIVE: This study aimed to seek usage of machine learning to develop a more accurate predictive model for colorectal surgical-site infections. DESIGN: Patients who underwent colorectal surgery were identified in the American College of Surgeons National Quality Improvement Program database from years 2012 to 2019 and were split into training, validation, and test sets. Machine-learning techniques included random forest, gradient boosting, and artificial neural network. A logistic regression model was also created. Model performance was assessed using area under the receiver operating characteristic curve. SETTINGS: A national, multicenter data set. PATIENTS: Patients who underwent colorectal surgery. MAIN OUTCOME MEASURES: The primary outcome (surgical-site infection) included patients who experienced superficial, deep, or organ-space surgical-site infections. RESULTS: The data set included 275,152 patients after the application of exclusion criteria. Of all patients, 10.7% experienced a surgical-site infection. Artificial neural network showed the best performance with area under the receiver operating characteristic curve of 0.769 (95% CI, 0.762-0.777), compared with 0.766 (95% CI, 0.759-0.774) for gradient boosting, 0.764 (95% CI, 0.756-0.772) for random forest, and 0.677 (95% CI, 0.669-0.685) for logistic regression. For the artificial neural network model, the strongest predictors of surgical-site infection were organ-space surgical-site infection present at time of surgery, operative time, oral antibiotic bowel preparation, and surgical approach. LIMITATIONS: Local institutional validation was not performed. CONCLUSIONS: Machine-learning techniques predict colorectal surgical-site infections with higher accuracy than logistic regression. These techniques may be used to identify patients at increased risk and to target preventive interventions for surgical-site infection. See Video Abstract at http://links.lww.com/DCR/C88 . PREDICCIN MEJORADA DE LA INFECCIN DEL SITIO QUIRRGICO DESPUS DE LA CIRUGA COLORRECTAL MEDIANTE EL APRENDIZAJE AUTOMTICO: ANTECEDENTES:La infección del sitio quirúrgico es una fuente de morbilidad significativa después de la cirugía colorrectal. Los esfuerzos anteriores para desarrollar modelos que predijeran la infección del sitio quirúrgico han tenido una precisión limitada. El aprendizaje automático se ha mostrado prometedor en la predicción de los resultados posoperatorios mediante la identificación de patrones no lineales dentro de grandes conjuntos de datos.OBJETIVO:Intentamos utilizar el aprendizaje automático para desarrollar un modelo predictivo más preciso para las infecciones del sitio quirúrgico colorrectal.DISEÑO:Los pacientes que se sometieron a cirugía colorrectal se identificaron en la base de datos del Programa Nacional de Mejoramiento de la Calidad del Colegio Estadounidense de Cirujanos de los años 2012 a 2019 y se dividieron en conjuntos de capacitación, validación y prueba. Las técnicas de aprendizaje automático incluyeron conjunto aleatorio, aumento de gradiente y red neuronal artificial. También se creó un modelo de regresión logística. El rendimiento del modelo se evaluó utilizando el área bajo la curva característica operativa del receptor.CONFIGURACIÓN:Un conjunto de datos multicéntrico nacional.PACIENTES:Pacientes intervenidos de cirugía colorrectal.PRINCIPALES MEDIDAS DE RESULTADO:El resultado primario (infección del sitio quirúrgico) incluyó pacientes que experimentaron infecciones superficiales, profundas o del espacio de órganos del sitio quirúrgico.RESULTADOS:El conjunto de datos incluyó 275.152 pacientes después de la aplicación de los criterios de exclusión. El 10,7% de los pacientes presentó infección del sitio quirúrgico. La red neuronal artificial mostró el mejor rendimiento con el área bajo la curva característica operativa del receptor de 0,769 (IC del 95 %: 0,762 - 0,777), en comparación con 0,766 (IC del 95 %: 0,759 - 0,774) para el aumento de gradiente, 0,764 (IC del 95 %: 0,756 - 0,772) para conjunto aleatorio y 0,677 (IC 95% 0,669 - 0,685) para regresión logística. Para el modelo de red neuronal artificial, los predictores más fuertes de infección del sitio quirúrgico fueron la infección del sitio quirúrgico del espacio del órgano presente en el momento de la cirugía, el tiempo operatorio, la preparación intestinal con antibióticos orales y el abordaje quirúrgico.LIMITACIONES:No se realizó validación institucional local.CONCLUSIONES:Las técnicas de aprendizaje automático predicen infecciones del sitio quirúrgico colorrectal con mayor precisión que la regresión logística. Estas técnicas se pueden usar para identificar a los pacientes con mayor riesgo y para orientar las intervenciones preventivas para la infección del sitio quirúrgico. Consulte Video Resumen en http://links.lww.com/DCR/C88 . (Traducción-Dr Yolanda Colorado ).

Development and Validation of Machine Learning Models to Predict Readmission After Colorectal Surgery.

BACKGROUND: Readmission after colorectal surgery is common and often implies complications for patients and costs for hospitals. Previous works have created predictive models using logistic regression for this outcome but have shown limited accuracy. Machine learning has shown promise in improving predictions by identifying non-linear patterns in data. We sought to create a more accurate predictive model for readmission after colorectal surgery using machine learning. METHODS: Patients who underwent colorectal surgery were identified in the National Quality Improvement Program (NSQIP) database including years 2012-2019 and split into training, validation, and test sets. The primary outcome was readmission within 30 days of surgery. Three types of machine learning models were created, including random forest (RF), gradient boosting (XGB), and neural network (NN). A logistic regression (LR) model was also created for comparison. Model performance was evaluated using area under the receiver operating characteristic curve (AUROC). RESULTS: The dataset included 213,827 patients after application of exclusion criteria. A total of 23,083 (10.8%) of patients experienced readmission. NN obtained an AUROC of 0.751 (95% CI 0.743-0.759), compared with 0.684 (95% CI 0.676-0.693) for LR. RF and XGB performed similarly with AUROCs of 0.749 (95% CI 0.741-0.757) and 0.745 (95% CI 0.737-0.753) respectively. Ileus, index admission length of stay, organ-space surgical site infection present at time of surgery, and ostomy placement were identified as the most contributory variables. CONCLUSIONS: Machine learning approaches outperformed traditional statistical methods in the prediction of readmission after colorectal surgery. After external validation, this improved prediction model could be used to target interventions to reduce readmission rate.

Differential Performance of Machine Learning Models in Prediction of Procedure-Specific Outcomes.

BACKGROUND: Procedure-specific complications can have devastating consequences. Machine learning-based tools have the potential to outperform traditional statistical modeling in predicting their risk and guiding decision-making. We sought to develop and compare deep neural network (NN) models, a type of machine learning, to logistic regression (LR) for predicting anastomotic leak after colectomy, bile leak after hepatectomy, and pancreatic fistula after pancreaticoduodenectomy (PD). METHODS: The colectomy, hepatectomy, and PD National Surgical Quality Improvement Program (NSQIP) databases were analyzed. Each dataset was split into training, validation, and testing sets in a 60/20/20 ratio, with fivefold cross-validation. Models were created using NN and LR for each outcome. Models were evaluated primarily with area under the receiver operating characteristic curve (AUROC). RESULTS: A total of 197,488 patients were included for colectomy, 25,403 for hepatectomy, and 23,333 for PD. For anastomotic leak, AUROC for NN was 0.676 (95% 0.666-0.687), compared with 0.633 (95% CI 0.620-0.647) for LR. For bile leak, AUROC for NN was 0.750 (95% CI 0.739-0.761), compared with 0.722 (95% CI 0.698-0.746) for LR. For pancreatic fistula, AUROC for NN was 0.746 (95% CI 0.733-0.760), compared with 0.713 (95% CI 0.703-0.723) for LR. Variables related to intra-operative information, such as surgical approach, biliary reconstruction, and pancreatic gland texture were highly important for model predictions. DISCUSSION: Machine learning showed a marginal advantage over traditional statistical techniques in predicting procedure-specific outcomes. However, models that included intra-operative information performed better than those that did not, suggesting that NSQIP procedure-targeted datasets may be strengthened by including relevant intra-operative information.

Do immune inflammatory markers correlate with anal dysplasia and anal cancer risk in patients living with HIV?

PURPOSE: People living with HIV (PLWH) are at an elevated risk for developing anal cancer. As screening is invasive, markers predicting those at highest risk for anal cancer could guide individualized screening. Neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and prognostic nutritional index (PNI) are surrogate inflammatory/immune markers known to correlate with cancer outcomes. This study aims to assess whether these markers correlate with anal cancer risk in PLWH. METHODS: This is a retrospective single-institution cohort study of PLWH at a single academic medical center who were diagnosed with or screened for anal dysplasia between 2001 and 2019. Aforementioned markers collected within one year of diagnosis were recorded. Regression modeling was used to estimate odds of anal cancer. Receiver operating characteristic analysis was utilized to determine optimal cutoff for screening values. RESULTS: Five-hundred-fourteen patients were included. NLR and PNI were significantly associated with cancer risk on univariate (p = 0.03, p = 0.001) and multivariate analyses (p = 0.03, p = 0.01). NLR increased across all grades of dysplasia. PLR was not associated with cancer risk. A NLR of ≥ 1.64 can be utilized to capture 76% of cancer patients in our cohort. CONCLUSIONS: NLR values in patients living with HIV correlate with risk of anal cancer and increasing grades of dysplasia. A cutoff NLR of ≥ 1.64 can be used to help capture those at risk. NLR is a promising marker of risk of anal cancer and progression of anal dysplasia in patients with HIV infection and could be used to risk-stratify screening and surveillance intervals.

Contrast-Enhanced Ultrasound in Small Intestinal Ischemia: Proof of Concept.

BACKGROUND: Small intestinal ischemia is a challenging diagnosis to make, even with the combination of imaging, laboratory analysis, and physical exam. This pilot study investigated the role of CEUS in evaluating small bowel wall vascularity in participants with suspected ischemia. METHODS: In this IRB-approved pilot study, CEUS using perflutren lipid microspheres (DEFINITY®; Lantheus Medical Imaging Inc., N. Billerica, MA) was performed on participants determined by the clinical surgical team to have concerns for small intestinal ischemia. CEUS interpretations were performed at both the bedside and later by a blinded radiologist and compared to clinical imaging, surgical findings, or long-term clinical outcomes. RESULTS: Fifteen CEUS examinations were performed on 14 participants. Five of the participants underwent exploratory laparotomy. Of these, one had small intestinal ischemia (without necrosis). Point of care CEUS demonstrated no evidence of bowel necrosis in any case, and delayed enhancement (indicative of intestinal ischemia) in three cases, resulting in a sensitivity of 100% (95% CI 2.5-100%) and specificity of 85.7% (95% CI 57.2-98.2%). CEUS correctly ruled out ischemia in 91.7% of cases with CT suspicion of small bowel obstruction and 60% of cases that underwent surgical intervention. Additionally, the rate of agreement between bedside interpretation and later radiologist read was high (93%). CONCLUSIONS: CEUS is uniquely positioned for evaluating the small intestine, because of its high temporal resolution and immediacy of results. Combined with multi-sectional imaging for focal areas of ischemia and/or clinical suspicion for pan ischemia, CEUS may be a useful rule out test for small intestinal ischemia.

APC-ß-catenin-TCF signaling silences the intestinal guanylin-GUCY2C tumor suppressor axis.

Sporadic colorectal cancer initiates with mutations in APC or its degradation target ß-catenin, producing TCF-dependent nuclear transcription driving tumorigenesis. The intestinal epithelial receptor, GUCY2C, with its canonical paracrine hormone guanylin, regulates homeostatic signaling along the crypt-surface axis opposing tumorigenesis. Here, we reveal that expression of the guanylin hormone, but not the GUCY2C receptor, is lost at the earliest stages of transformation in APC-dependent tumors in humans and mice. Hormone loss, which silences GUCY2C signaling, reflects transcriptional repression mediated by mutant APC-ß-catenin-TCF programs in the nucleus. These studies support a pathophysiological model of intestinal tumorigenesis in which mutant APC-ß-catenin-TCF transcriptional regulation eliminates guanylin expression at tumor initiation, silencing GUCY2C signaling which, in turn, dysregulates intestinal homeostatic mechanisms contributing to tumor progression. They expand the mechanistic paradigm for colorectal cancer from a disease of irreversible mutations in APC and ß-catenin to one of guanylin hormone loss whose replacement, and reconstitution of GUCY2C signaling, could prevent tumorigenesis.

Therapeutic targeting of gastrointestinal cancer stem cells.

Gastrointestinal cancers remain a tremendous burden on society. Despite advances in therapy options, including chemotherapy and radiation, cancer mortality from recurrences and metastases occur frequently. Cancer stem cells (CSCs) drive disease recurrence and metastasis, as these cells are uniquely equipped to self-renew and evade therapy. Therefore, cancer eradication requires treatment strategies that target CSCs in addition to differentiated cancer cells. This review highlights current literature on therapies targeting CSCs in gastrointestinal cancer.

A 61-year-old woman develops polyuria after hip revision.

A 61-year-old previously healthy woman developed progressive hearing and visual loss over a period of 2-3 months prior to admission. Her medical/surgical history was remarkable for a left hip arthroplasty 11 years ago requiring revision approximately 6 months prior to admission. After dislocating the revised hip, she re-presented to her surgeon and underwent a closed reduction. Several weeks following the reduction, the patient began having polyuria and symptoms of hearing and vision loss along with numbness in her extremities and abdominal region.

Safety of prophylactic anticoagulation at a pediatric hospital.

The importance of preventing venous thromboembolism (VTE) in hospitalized adults is well recognized. We recently developed and published our institutional guidelines for the prevention of VTE in high-risk hospitalized patients in a pediatric hospital. The objective of this prospective observational study was to evaluate the safety of anticoagulation after these guidelines were instituted. The primary outcome was major bleeding and secondary outcomes included minor bleeding and VTE. Eighty-nine patients were enrolled, with a mean age of 16.6 years. The most common risk factors for VTE were impaired mobility, lower extremity orthopedic surgery, and obesity. The majority of patients (63%) had 3 or more risk factors. There were 2 major bleeding events, and minor bleeding occurred in 5 patients, all in patients who had undergone major orthopedic surgery. Therefore the risk of major bleeding in orthopedic surgery patients was 4% (2/51), and 0% (0/38) in the remaining patients. No patient developed a non-catheter-related VTE, which was the primary intent of our guidelines. Although there remains much work to be done to optimize VTE strategies in pediatric patients, this study provides information regarding the risks of VTE prophylaxis using a pragmatic approach in hospitalized patients with multiple risk factors for VTE. More studies are needed to better define the risk:benefit ratio in this population.

Human immunodeficiency virus-associated primary lung cancer in the era of highly active antiretroviral therapy: a multi-institutional collaboration.

BACKGROUND: Human immunodeficiency virus (HIV)-infected individuals are at increased risk for primary lung cancer (LC). We wished to compare the clinicopathologic features and treatment outcome of HIV-LC patients with HIV-indeterminate LC patients. We also sought to compare behavioral characteristics and immunologic features of HIV-LC patients with HIV-positive patients without LC. PATIENTS AND METHODS: A database of 75 HIV-positive patients with primary LC in the HAART era was established from an international collaboration. These cases were drawn from the archives of contributing physicians who subspecialize in HIV malignancies. Patient characteristics were compared with registry data from the Surveillance Epidemiology and End Results program (SEER; n = 169,091 participants) and with HIV-positive individuals without LC from the Adult and Adolescent Spectrum of HIV-related Diseases project (ASD; n = 36,569 participants). RESULTS: The median age at HIV-related LC diagnosis was 50 years compared with 68 years for SEER participants (P < .001). HIV-LC patients, like their SEER counterparts, most frequently presented with stage IIIB/IV cancers (77% vs. 70%), usually with adenocarcinoma (46% vs. 47%) or squamous carcinoma (35% vs. 25%) histologies. HIV-LC patients and ASD participants had comparable median nadir CD4+ cell counts (138 cells/µL vs. 160 cells/µL). At LC diagnosis, their median CD4+ count was 340 cells/µL and 86% were receiving HAART. Sixty-three HIV-LC patients (84%) received cancer-specific treatments, but chemotherapy-associated toxicity was substantial. The median survival for both HIV-LC patients and SEER participants with stage IIIB/IV was 9 months. CONCLUSION: Most HIV-positive patients were receiving HAART and had substantial improvement in CD4+ cell count at time of LC diagnosis. They were able to receive LC treatments; their tumor types and overall survival were similar to SEER LC participants. However, HIV-LC patients were diagnosed with LC at a younger age than their HIV-indeterminate counterparts. Future research should explore how screening, diagnostic and treatment strategies directed toward the general population may apply to HIV-positive patients at risk for LC.