Utility of Abbreviated Small Bowel Follow Through Study in the Management of Small Bowel Obstruction.

INTRODUCTION: Small bowel obstruction is a common surgical complaint. Most small bowel obstructions are managed successfully nonoperatively. Unanimous guidelines for nonoperative management of small bowel obstruction do not exist. METHODS: A standardized protocol for water-soluble contrast administration and abbreviated small bowel follow through imaging was implemented in January of 2021. A retrospective chart review identified 111 patients admitted for SBO from 6/2019 to 9/2019 for a control group. A planned follow-up review identified 158 patients managed according to the new protocol from 3/2021 to 10/2021. The primary outcome was in-hospital length of stay. Standard statistical analyses were performed and pre-specified. RESULTS: Before implementation of the standardized protocol patients that were managed strictly nonoperatively, the mean length of stay (LOS) was 8.3 days. After implementation, the average LOS was 4.8 (P < .0001). Comparatively, patients admitted after protocol implementation were more likely to undergo CT scan with PO contrast on admission (98.1% vs 90.1%; P < .005), undergo NG tube decompression (84.7% vs 68.5%; P < .005), and undergo water-soluble contrast with abbreviated or formal SBFT (75.3% vs 37.8%; P < .0001). CONCLUSION: Implementation of a standardized protocol utilizing abbreviated SBFT with water-soluble contrast for the management of SBO at our institution resulted in a decrease in the average length of stay for patients definitively managed in a nonoperative fashion.

Proteins of TNF-α and IL6 Pathways Are Elevated in Serum of Type-1 Diabetes Patients with Microalbuminuria.

Soluble cytokine receptors may play an important role in development of microalbuminuria (MA) in type-1 diabetes (T1D). In this study, we measured 12 soluble receptors and ligands from TNF-α/IL6/IL2 pathways in T1D patients with MA (n = 89) and T1D patients without MA (n = 483) participating in the PAGODA study. Twelve proteins in the sera from T1D patients with and without MA were measured using multiplex Luminex assays. Ten serum proteins (sTNFR1, sTNFR2, sIL2Rα, MMP2, sgp130, sVCAM1, sIL6R, SAA, CRP, and sICAM1) were significantly elevated in T1D patients with MA. After adjusting for age, duration of diabetes, and sex in logistic regression, association remained significant for seven proteins. MA is associated with increasing concentrations of all 10 proteins, with the strongest associations observed for sTNFR1 (OR = 108.3, P < 10-32) and sTNFR2 (OR = 65.5, P < 10-37), followed by sIL2Rα (OR = 12.9, P < 10-13), MMP2 (OR = 5.5, P < 10-6), sgp130 (OR = 5.2, P < 10-3), sIL6R (OR = 4.6, P < 10-4), and sVCAM1 (OR = 3.3, P < 10-4). We developed a risk score system based on the combined odds ratios associated with each quintile for each protein. The risk scores cluster MA patients into three subsets, each associated with distinct risk for MA attributable to proteins in the TNF-α/IL6 pathway (mean OR = 1, 13.5, and 126.3 for the three subsets, respectively). Our results suggest that the TNF-α/IL6 pathway is overactive in approximately 40% of the MA patients and moderately elevated in the middle 40% of the MA patients. Our results suggest the existence of distinct subsets of MA patients identifiable by their serum protein profiles.

Surgical approach to a rare case of double-outlet right ventricle and aortopulmonary window.

Although the spectrum of physiology seen in infants and children with double-outlet right ventricle is broad, this anatomy in combination with an aortopulmonary window is extremely rare. We present an interesting case of an infant prenatally diagnosed with this rare CHD. To our knowledge, this is the first report of complete repair in the neonatal period for such a combination of defects.

Large-Scale Discovery and Validation Studies Demonstrate Significant Reductions in Circulating Levels of IL8, IL-1Ra, MCP-1, and MIP-1ß in Patients With Type 1 Diabetes.

CONTEXT: Previous studies have attempted to elucidate the potential role of various cytokines and chemokines in human type 1 diabetes (T1D); however, the precise role of these serum proteins in T1D is still controversial and undetermined primarily due to the small sample sizes of the previous studies. We profiled a panel of serum cytokines and chemokines using a large-scale, two-stage study design for the discovery and validation of the serum proteins associated with T1D. PARTICIPANTS: The participants were patients with T1D and islet autoantibody-negative control subjects from the Phenome and Genome of Diabetes Autoimmunity study. MAIN OUTCOME MEASURES: Thirteen cytokines and chemokines were measured in serum of 4424 subjects using multiplex immunoassays. RESULTS: Using 1378 samples in Stage 1, we found that four of the 13 proteins are significantly lower in patients with T1D than controls (IL8: odds ratio [OR] = 0.40; P = 5.7 × 10(-19); IL-1Ra: OR = 0.42; P = 1.1 × 10(-13); MCP-1: OR = 0.60; P = 6.7 × 10(-9); and MIP-1ß: OR = 0.63; P = 4.2 × 10(-7)). Our confirmation data with 3046 samples in Stage 2 further confirmed the significant negative associations of these four proteins with T1D (IL8: OR = 0.43; P = 8.9 × 10(-32); IL-1Ra: OR = 0.56, P = 3.7 × 10(-27); MCP-1: OR = 0.61, P = 4.3 × 10(-17); and MIP-1ß: OR = 0.69, P = 2.4 × 10(-13)). Quartile analyses also suggested that significantly more T1D cases have protein levels in the bottom quartile than in the top quartile for all four proteins: IL8 (OR = 0.09), IL-1Ra (OR = 0.18), MCP-1 (OR = 0.38), and MIP-1ß (OR = 0.44). Furthermore, the negative associations between T1D and serum levels of all four proteins are stronger in genetically high-risk groups compared with the moderate and low-risk groups. CONCLUSIONS: IL8, IL-1Ra, MCP-1, and MIP-1ß are significantly lower in patients with T1D than controls.

The expression of inflammatory genes is upregulated in peripheral blood of patients with type 1 diabetes.

OBJECTIVE: Our previous gene expression microarray studies identified a number of genes differentially expressed in patients with type 1 diabetes (T1D) and islet autoantibody-positive subjects. This study was designed to validate these gene expression changes in T1D patients and to identify gene expression changes in diabetes complications. RESEARCH DESIGH AND METHODS: We performed high-throughput real-time RT-PCR to validate gene expression changes in peripheral blood mononuclear cells (PBMCs) from a large sample set of 928 T1D patients and 922 control subjects. RESULTS: Of the 18 genes analyzed here, eight genes (S100A8, S100A9, MNDA, SELL, TGFB1, PSMB3, CD74, and IL12A) had higher expression and three genes (GNLY, PSMA4, and SMAD7) had lower expression in T1D patients compared with control subjects, indicating that genes involved in inflammation, immune regulation, and antigen processing and presentation are significantly altered in PBMCs from T1D patients. Furthermore, one adhesion molecule (SELL) and three inflammatory genes mainly expressed by myeloid cells (S100A8, S100A9, and MNDA) were significantly higher in T1D patients with complications (odds ratio [OR] 1.3-2.6, adjusted P value = 0.005-10(-8)), especially those patients with neuropathy (OR 4.8-7.9, adjusted P value <0.005). CONCLUSIONS: These findings suggest that inflammatory mediators secreted mainly by myeloid cells are implicated in T1D and its complications.

Discovery and validation of serum protein changes in type 1 diabetes patients using high throughput two dimensional liquid chromatography-mass spectrometry and immunoassays.

Type 1 diabetes (T1D) is expected to cause significant changes in the serum proteome; however, few studies have systematically assessed the proteomic profile change associated with the disease. In this study, a semiquantitative spectral counting-based two dimensional liquid chromatography mass spectrometry platform was used to analyze serum samples from T1D patients and controls. In this discovery phase, significant differences were found for 21 serum proteins implicated in inflammation, oxidation, metabolic regulation, and autoimmunity. To assess the validity of these findings, six candidate proteins including adiponectin, insulin-like growth factor binding protein 2, serum amyloid protein A, C-reactive protein, myeloperoxidase, and transforming growth factor beta induced were selected for subsequent immune assays for 1139 T1D patients and 848 controls. A series of statistical analyses using cases and controls matched for age, sex, and genetic risk confirmed that T1D patients have significantly higher serum levels for four of the six proteins: adiponectin (odds ratio (OR) = 1.95, p = 10(-27)), insulin-like growth factor binding protein 2 (OR = 2.02, p < 10(-20)), C-reactive protein (OR = 1.13, p = 0.007), serum amyloid protein A (OR = 1.51, p < 10(-16)); whereas the serum levels were significantly lower in patients than controls for the two other proteins: transforming growth factor beta induced (OR = 0.74, p < 10(-5)) and myeloperoxidase (OR = 0.51, p < 10(-41)). Compared with subjects in the bottom quartile, subjects in the top quartile for adiponectin (OR = 6.29, p < 10(-37)), insulin-like growth factor binding protein 2 (OR = 7.95, p < 10(-46)), C-reactive protein (OR = 1.38, p = 0.025), serum amyloid protein A (OR = 3.36, p < 10(-16)) had the highest risk of T1D, whereas subjects in the top quartile of transforming growth factor beta induced (OR = 0.41, p < 10(-11)) and myeloperoxidase (OR = 0.10, p < 10(-43)) had the lowest risk of T1D. These findings provided valuable information on the proteomic changes in the sera of T1D patients.

Chemokine (C-C motif) ligand 2 (CCL2) in sera of patients with type 1 diabetes and diabetic complications.

BACKGROUND: Chemokine (C-C motif) ligand 2 (CCL2), commonly known as monocyte chemoattractant protein-1 (MCP-1), has been implicated in the pathogenesis of many diseases characterized by monocytic infiltration. However, limited data have been reported on MCP-1 in type 1 diabetes (T1D) and the findings are inconclusive and inconsistent. METHODS: In this study, MCP-1 was measured in the sera from 2,472 T1D patients and 2,654 healthy controls using a Luminex assay. The rs1024611 SNP in the promoter region of MCP-1 was genotyped for a subset of subjects (1764 T1D patients and 1323 controls) using the TaqMan-assay. RESULTS: Subject age, sex or genotypes of MCP-1 rs1024611SNP did not have a major impact on serum MCP-1 levels in either healthy controls or patients. While hemoglobin A1c levels did not have a major influence on serum MCP-1 levels, the mean serum MCP-1 levels are significantly higher in patients with multiple complications (mean = 242 ng/ml) compared to patients without any complications (mean = 201 ng/ml) (p = 3.5×10(-6)). Furthermore, mean serum MCP-1 is higher in controls (mean = 261 ng/ml) than T1D patients (mean = 208 ng/ml) (p<10(-23)). More importantly, the frequency of subjects with extremely high levels (>99(th) percentile of patients or 955 ng/ml) of serum MCP-1 is significantly lower in the T1D group compared to the control group (odds ratio = 0.11, p<10(-33)). CONCLUSION: MCP-1 may have a dual role in T1D and its complications. While very high levels of serum MCP-1 may be protective against the development of T1D, complications are associated with higher serum MCP-1 levels within the T1D group.

Association between type 1 diabetes and GWAS SNPs in the southeast US Caucasian population.

The present study was conducted to assess genetic associations for type 1 diabetes (T1D) reported in previous genome-wide association studies (GWAS). A total of 21 previously reported single-nucleotide polymorphisms (SNPs) were genotyped by TaqMan assays in 1434 Caucasian T1D patients and 1864 normal controls from Georgia. Analysis of the samples identified 18 SNPs (PTPN22, INS, IFIH1, SH2B3, ERBB3, CTLA4, C14orf181, CTSH, CLEC16A, CD69, ITPR3, C6orf173, SKAP2, PRKCQ, RNLS, IL27, SIRPG and CTRB2) with putative association.

A comparison study of continuous insulin infusion protocols in the medical intensive care unit: computer-guided vs. standard column-based algorithms.

PURPOSE: To compare the safety and efficacy of continuous insulin infusion (CII) via a computer-guided and a standard paper form protocol in a medical intensive care unit (ICU). METHODS: Multicenter randomized trial of 153 ICU patients randomized to CII using the Glucommander (n = 77) or a standard paper protocol (n = 76). Both protocols used glulisine insulin and targeted blood glucose (BG) between 80 mg/dL and 120 mg/dL. RESULTS: The Glucommander resulted in a lower mean BG value (103 ± 8.8 mg/dL vs. 117 ± 16.5 mg/dL, P < 0.001) and in a shorter time to reach BG target (4.8 ± 2.8 vs.7.8 hours ± 9.1 hours, P < 0.01), and once at target resulted in a higher percentage of BG readings within target (71.0 ± 17.0% vs. 51.3 ± 19.7%, P < 0.001) than the standard protocol. Mean insulin infusion rate in the Glucommander was similar to the standard protocol (P = 0.12). The percentages of patients with ≥1 episode of BG <40 mg/dL and <60 mg/dL were 3.9% and 42.9% in the Glucommander and 5.6% and 31.9% in the standard, respectively [P = not significant (NS)]. Repeated measures analyses show that the probabilities of BG reading <40 mg/dL or <60 mg/dL were not significantly different between groups (P = 0.969, P = 0.084) after accounting for within-patient correlations with or without adjusting for time effect. There were no differences between groups in the length of hospital stay (P = 0.704), ICU stay (P = 0.145), or inhospital mortality (P = 0.561). CONCLUSION: Both treatment algorithms resulted in significant improvement in glycemic control in critically ill patients in the medical ICU. The computer-based algorithm resulted in tighter glycemic control without an increased risk of hypoglycemic events compared to the standard paper protocol.

Genetically dependent ERBB3 expression modulates antigen presenting cell function and type 1 diabetes risk.

Type 1 diabetes (T1D) is an autoimmune disease resulting from the complex interaction between multiple susceptibility genes, environmental factors and the immune system. Over 40 T1D susceptibility regions have been suggested by recent genome-wide association studies; however, the specific genes and their role in the disease remain elusive. The objective of this study is to identify the susceptibility gene(s) in the 12q13 region and investigate the functional link to the disease pathogenesis. A total of 19 SNPs in the 12q13 region were analyzed by the TaqMan assay for 1,434 T1D patients and 1,865 controls. Thirteen of the SNPs are associated with T1D (best p = 4x10(-11)), thus providing confirmatory evidence for at least one susceptibility gene in this region. To identify candidate genes, expression of six genes in the region was analyzed by real-time RT-PCR for PBMCs from 192 T1D patients and 192 controls. SNP genotypes in the 12q13 region are the main factors that determine ERBB3 mRNA levels in PBMCs. The protective genotypes for T1D are associated with higher ERBB3 mRNA level (p<10(-10)). Furthermore, ERBB3 protein is expressed on the surface of CD11c(+) cells (dendritic cells and monocytes) in peripheral blood after stimulation with LPS, polyI:C or CpG. Subjects with protective genotypes have significantly higher percentages of ERBB3(+) monocytes and dendritic cells (p = 1.1x10(-9)); and the percentages of ERBB3(+) cells positively correlate with the ability of APC to stimulate T cell proliferation (R(2) = 0.90, p<0.0001). Our results indicate that ERBB3 plays a critical role in determining APC function and potentially T1D pathogenesis.

Use of a computerized intravenous insulin algorithm within a nurse-directed protocol for patients undergoing cardiovascular surgery.

BACKGROUND: Several studies have shown the benefits of tight glycemic control in the intensive care unit. A large hospital became concerned about certain deficiencies in the management of glucose control in conjunction with cardiovascular surgery. A multidisciplinary steering committee was formed, which implemented a glycemic protocol, the subject of this study. METHODS: The glycemic protocol is a perioperative, nurse-directed program that incorporates the computerized intravenous (IV) insulin algorithm, Glucommander. Upon admission, hemoglobin A1c and blood glucose (BG) were tested, and patients were screened for previously diagnosed diabetes. This information was used to determine if preoperative insulin will be used, if the patient will be transitioned post-IV to subcutaneous (SC) basal-bolus insulin, and if insulin will be prescribed on discharge. IV insulin was initiated perioperatively in known diabetes cases or if one BG value >140 mg/dl or two BG values >110 mg/dl within 24 hours before or during surgery. The target range was 90 to 120 mg/dl. RESULTS: In the 9 months after protocol implementation, 93% of the patients had no BG value >200 mg/dl during the first 48 hours postoperatively. In the 6 months of study data, there were 457 patients. The mean time to target range was 3.0 hours. The mean IV insulin run time was 37 hours. The mean BG value was 107 mg/dl. Only 2% of patients had transient BG <50 mg/dl, and no BG values were <40 mg/dl. Of the patients, 52% were transitioned to SC basal-bolus, and 26% were discharged on insulin. CONCLUSIONS: The Glucommander earned high respect from the nurses for the way it scheduled BG tests and eliminated the calculation time and calculation errors associated with manual methods. The protocol was highly effective in normalizing glucose without hypoglycemia. The multidisciplinary steering committee proved to be a good approach to implementing a glycemic protocol.

Working to improve care of hospital hyperglycemia through statewide collaboration: the Georgia Hospital Association Diabetes Special Interest Group.

OBJECTIVE: To review the efforts of the Georgia Hospital Association Diabetes Special Interest Group (DSIG) to develop and disseminate sample clinical guidelines on management of inpatient hyperglycemia. METHODS: Beginning in February 2003, a consortium of physicians and allied health professionals from throughout the state of Georgia began meeting on a frequent basis to formulate a plan to enhance the care of hospitalized patients with hyperglycemia. The immediate goals of the DSIG were the identification and organization of interested stakeholders, the development of consensus sample clinical guidelines, and the dissemination of information. RESULTS: Since its inception, the DSIG has accomplished the following: development of 7 consensus sample clinical guidelines, construction of a Web site that posts these clinical guidelines and other useful related information and educational materials, and sponsorship of workshops throughout the state of Georgia. CONCLUSION: As the importance of glucose control in the hospital setting has become increasingly recognized, institutions must find ways of applying results of clinical trials to "real-world" hospital environments. The DSIG is an example of a successful collaboration that could serve as a model for other state hospital organizations that wish to develop programs to enhance the care of inpatients with hyperglycemia.

A cause-and-effect-based mathematical curvilinear model that predicts the effects of self-monitoring of blood glucose frequency on hemoglobin A1c and is suitable for statistical correlations.

BACKGROUND: Previous studies have shown an association between the frequency of self-monitored blood glucose (SMBG) and hemoglobin A1c. Randomized controlled trials (RCTs) have shown this to be a causal correlation for insulin-using patients. Several studies have used linear regression, but a straight line will descend into negative hemoglobin A1c values (an impossibility). This study developed a cause-and-effect-based nonlinear model to predict the outcome of RCTs on this subject, tested this model with clinical data, and offered this model in place of linear regression, especially for the still-debated case of noninsulin-using patients. METHODS: The model was developed from cause-and-effect principles. The clinical study utilized retrospective data from patient histories of a large endocrine practice. Data sets were obtained for five treatment regimens: continuous subcutaneous insulin infusion (CSII), subcutaneous insulin (SC), no insulin (NI), oral medication (OM), and no medication (NM). OM and NM are subgroups of NI. The model was fitted to each group using nonlinear leastsquares methods. Each group was ordered by SMBG tests per day (BGpd) and was divided in half; t tests were run between the A1C's of the two halves. RESULTS: Self-monitored blood glucose readings from 1255 subjects were analyzed (CSII, N = 417; SC, N = 286; NI, N = 552; OM, N = 505; NM, N = 47). The CSII, SC, NI, and OM groups showed the expected declining statistically fitted curve and a significant association of BGpd with hemoglobin A1c (P < 0.004). The NM group showed insignificant results. CONCLUSIONS: The nonlinear model is based on cause-and-effect principles and mathematics. It yields a prediction that RCTs will be able to reveal that higher SMBG frequency causes lower hemoglobin A1c.

Switch to multiple daily injections with insulin glargine and insulin lispro from continuous subcutaneous insulin infusion with insulin lispro: a randomized, open-label study using a continuous glucose monitoring system.

OBJECTIVE: To evaluate the safety and efficacy of the transition from a continuous subcutaneous insulin infusion (CSII) regimen with insulin lispro to 1 of 2 dose regimens of multiple daily injections (MDI) with insulin lispro and insulin glargine in patients with type 1 diabetes. METHODS: The study group consisted of 38 patients with type 1 diabetes who had been using CSII with insulin lispro for > or =6 months. These patients were randomized to receive insulin glargine at a dose equal to (group 1:1) or 1.2 times (group 1:1.2) the mean of their total daily CSII basal insulin dose. Data were obtained by continuous interstitial glucose measurement at baseline and for 7 days of MDI. RESULTS: The switch to MDI was associated with a transient deterioration in glycemic control on day 1 in the 1:1 treatment group, which stabilized thereafter. Glucose variability did not increase significantly from baseline in either group on days 1 and 2 after the switch in treatment but increased significantly on day 4 in the 1:1 group for mean amplitude of glucose excursion and in the 1:1.2 group for SD, M-value, and mean amplitude of glucose excursion. Rates of hypoglycemia did not change significantly in either study group after the switch in treatment, but the 1:1 group showed a trend toward less nocturnal hypoglycemia. There were no episodes of severe hypoglycemia, and patients in both groups experienced significantly less time at glucose values <70 mg/dL on day 1 after the switch in comparison with baseline. CONCLUSION: MDI with insulin glargine and insulin lispro provide a safe transition for patients taking "pump holidays" without clinically significant disruptions of glycemic control. The recommended dose of insulin glargine after the switch in treatment is equal to the total daily basal dose on CSII.

Glucommander: a computer-directed intravenous insulin system shown to be safe, simple, and effective in 120,618 h of operation.

OBJECTIVE: Intravenous insulin is now the recommended method of diabetes management in critically ill persons in the hospital. The published methods for administering the insulin are complex and are usually limited to intensive care units with a low patient-to-nurse ratio. RESEARCH DESIGN AND METHODS: A computer-directed algorithm for advice on the delivery of intravenous insulin that is flexible in blood glucose timing and advises insulin dosing in a graduated manner has been developed. This software program, known as the Glucommander, has been used extensively by our group. The data were analyzed for this study. RESULTS: The data from 5,080 intravenous insulin runs over 120,683 h show that blood glucose levels can be safely stabilized in a target range without significant hypoglycemia by nonspecialized nurses working on any unit of a general hospital. The mean glucose level reached <150 mg/dl in 3 h. Only 0.6% of all glucose values were <50 mg/dl. The prevalence of hypoglycemia <40 mg/dl was 2.6% of all runs. No hypoglycemia was severe. CONCLUSIONS: This computer-directed algorithm is a simple, safe, effective, and robust method for maintaining glycemic control. It has been extensively studied and is applicable in a wide variety of conditions. In contrast to other published intravenous insulin protocols, which have been limited to intensive care units, Glucommander can be used in all units of any hospital.

Intravenous insulin infusion therapy: indications, methods, and transition to subcutaneous insulin therapy.

OBJECTIVE: To describe indications for intravenous (IV) insulin infusion therapy and glycemic thresholds, discuss methods and protocols, and promote use of and access to IV insulin infusion therapy for all appropriate patients in the hospital setting. RESULTS: Randomized, prospectively designed trials support the use of IV insulin infusion therapy for patients in the surgical intensive-care unit, including postoperative cardiac patients and patients having myocardial infarction. Among patients in the surgical intensive-care unit, reanalysis of the data suggested no threshold at which benefit occurred above the blood glucose level of 110 mg/dL. In another study, retrospective analysis of data among critically ill medical and surgical patients suggested a target blood glucose level of 145 mg/dL or less. In other populations, the threshold or ideal target blood glucose range has not been determined. Three protocols for IV insulin infusion are described that maintain blood glucose levels safely below the upper limit of their respective target ranges without substantial risk of hypoglycemia. CONCLUSION: The threshold for initiation of IV insulin infusion is 110 mg/dL for critically ill surgical patients, 140 mg/dL for other medical or surgical patients, 180 mg/dL for patients in whom subcutaneous insulin regimens fail, and 100 mg/dL for pregnant women. The blood glucose target range is 80 to 110 mg/dL for selected critically ill surgical patients, 70 to 100 mg/dL for pregnant women, and 90 to 140 mg/dL for all other patients. Hospitals should develop procedures to make IV insulin infusion therapy available to all appropriate patients.

Interactive telecardiology for the evaluation of heart murmurs in children.

OBJECTIVE: To study the accuracy, patient satisfaction, and cost of telecardiographic evaluations of pediatric patients. MATERIALS AND METHODS: Patients referred to a rural pediatric cardiology outreach clinic were examined in person by a pediatric cardiologist. A second pediatric cardiologist who had no knowledge of the findings of face-to-face examination reevaluated the same patients utilizing a 768-Kbps telemedicine system. Any additional testing was performed by personnel who had no knowledge of the face-to-face evaluation. The main outcome measures included the final cardiac diagnosis, frequency of additional tests such as electrocardiography, (ECG) echocardiography (ECHO), and patient satisfaction. RESULTS: The diagnosis was agreed upon in 19 of the 21 patients studied. Two patients with small ventricular septal defects were missed during the telemedicine evaluation. The utilization rates of additional studies for both the face-to-face cardiologist and the telemedicine cardiologist were not significantly different. Patient satisfaction with the telemedicine encounter was good. CONCLUSIONS: Telemedicine appears to be effective and useful for the cardiac evaluation of pediatric patients. In spite of high data-transfer rates, differences between telemedicine and face-to-face patient encounters were observed.