Spoke Centers Research Articles

Integrating RapidAI in an Evolving Hub and Spoke Center

Introduction/Background: As the rapid assessment of suspected stroke patients is imperative to reduce death and disability, rapid and reliable imaging studies are required to guide treatment decisions for thrombolytic therapies and thrombectomy. The integration of Artificial intelligence (AI) imaging platforms within acute stroke assessment has been shown to improve treatment times with the overall goal of improving outcomes. The process of adoption of this technology has not been well described. We sought to describe a process of adopting one AI imaging platform, RapidAI, within a hub and spoke health care system in the mid-south United States. Methods: Using a process improvement model which identified the need for more convenient and rapid interpretation of imaging, we sought to identify the specific steps of technology adoption, ensuring success in the transition to RapidAI to support faster interpretation times among multiple members of the acute stroke team. Results: Because of strong leadership at the system level, our organization has been able to incorporate RapidAI in all spoke centers for the acute evaluation and treatment of stroke patients. Conclusions: AI imaging platforms, such as RapidAI, can be incorporated within hub and spoke systems of care through strong system leadership and distinct steps. These steps could also be considered for stand-alone facilities with the creation of strong partnerships in the treatment of acute stroke patients.

Real-world biomarker testing patterns: clinical-pathological portrait of early and late non-small cell lung cancer in hub and spoke North Italian centers.

Lung cancer is still the main cause of cancer death. In the last decades, significant innovations were introduced in non-small cell lung cancer (NSCLC) treatment and management improving patient outcomes. The discovery of immune checkpoint inhibitors and the detection of an increasing list of actionable genetic alterations are enabling a tailored approach. Herein, we assessed in a pragmatic retrospective study the rate of biomarker tests within a large pulmonary pathology-based unit (PPU) network of the Veneto region (Northern Italy). Each PPU of 7 hubs and spoke centers implemented a biomarker database with pathologic and clinical data of patients with NSCLC diagnosis over 24 months. Out of 1,817 NSCLC cases, 51% were advanced and 49% early stage, with 72% being adenocarcinomas. Programmed death ligand 1 expression and epidermal growth factor receptor mutations were available in most samples, 91% and 78%, respectively. Only 36% of advanced stages received all 5 biomarker tests with an increased rate over time. Co-occurring molecular alterations were detected in 42 cases (2%): the prevalence was (n=17) 41% and (n=25) 59% in early and late-stage adenocarcinomas, respectively. In this real-world study, while most patients received at least one biomarker test, less than 50% had all 5 biomarkers. The screening appeared to increase over time especially with the progressive use of next generation sequencing. Our results confirm the importance of systematic biomarker testing including all NSCLCs based on the evidence of several genomic alterations also in early-stage disease whose analysis may become relevant as neo-adjuvant targeted therapies are available. Non-small cell lung cancer (NSCLC); biomarkers; actionable targets; lung cancer.

DEVELOPMENT OF A HUB–SPOKE NETWORK FOR TRANSCATHTER AORTIC VALVE IMPLANTATION: THE INTERVENTIONAL CARDIOLOGY UNIT OF IRCCS SAN RAFFAELE HOSPITAL (OSR HUB–SPOKE)

Abstract Background The growing prevalence of aortic stenosis determined in recent years an increase in candidates for percutaneous aortic valve replacement (TAVI), bringing out a difficult access to this procedure. In order to reduce waiting lists and to guarantee the training of the Interventional Cardiologists of Centers not equipped with on–site cardiac surgery, we implemented a TAVI protocol with one Hub center, the Interventional Cardiology Unit of IRCCS San Raffaele Scientific Institute, Milan, and two participating Spoke Centers: the ASST–Franciacorta Chiari Center and Valduce Hospital, Como.The aim of this study is to report in hospital outcomes of patients treated using this model of Hub–Spoke Network. Methods Patients included in this model were selected in the Spoke center where baseline clinical evaluation with echocardiography and CT scan were performed (inclusion and exclusion criteria attached). The cases were then discussed with a multidisciplinary team on–line and the procedure planned (access, valve type size). Once the procedure was scheduled, the patients underwent a single day transport to the Hub Center where they underwent TAVI and a same day return to the Spoke Center. A bailout hospitalization in the Hub Center was available in case of major complication. All Spoke Centers patients who underwent TAVI procedures in our Center according to our protocol were included in this analysis. The primary study objective was in hospital major adverse cardiac events (all cause or cardiovascular mortality, stroke, myocardial infarction); secondary study objectives were technical success, prolonged recovery in Hub Center and major vascular complications. Results Since 2019, a total of 69 patients underwent TAVI with the Hub and Spoke model. Mean age was 83 years ± 6 and mean ejection fraction was 59% ± 7%. Two patients (2.9%) had a prolonged hospitalization in the Hub center for a major vascular complication and an intra–procedural cardiac arrest, successfully resuscitated. Technical success was reached in 97.1% of patients. One patient experimented an ischemic stroke after the return in the spoke center: in hospital MACE was than 1.4%. Conclusion Considering the growing prevalence of aortic stenosis, The Hub Spoke Model for TAVI guarantees reduction in waiting lists, "access to care" for patients referred to Spoke centers, involvement and improvement of skills of their Interventional Cardiologists, keeping a high level of safety and efficacy.

The role of an integrated referral program for patients with liver disease: A network between hub and spoke centers.

Access to Liver transplantation (LT) can be affected by several barriers, resulting in delayed referral and increased risk of mortality due to complications of the underlying liver disease. To assess the clinical characteristics and outcomes of patients with acute or chronic liver disease referred using an integrated referral program. An integrated referral program was developed in 1 October 2017 based on email addresses and a 24/7 telephone availability. All consecutive adult patients with liver disease referred for the first time using this referral program were prospectively collected until 1 October 2021. Characteristics and outcomes of inpatients were compared with a historical cohort of patients referred without using the integrated referral program (1 October 2015-1 October 2017). Patients were further divided according to pre- and post-Covid-19 pandemic. Two hundred eighty-one referred patients were considered. End stage liver disease was the most common underlying condition (79.3%), 50.5% of patients were referred as inpatients and 74.7% were referred for LT evaluation. When inpatient referrals (n=142) were compared with the historical cohort (n=86), a significant increase in acute liver injury due to drugs/herbals and supplements was seen (p=0.01) as well as an increase in End stage liver disease due to alcohol-related liver disease and NASH, although not statistically significant. A significant increase in referrals for evaluation for Trans-jugular intrahepatic portosystemic shunt placement was seen over time (5.6% vs. 1%; p=0.01) as well as for LT evaluation (84.5% vs. 81%; p=0.01). Transplant-free survival was similar between the study and control groups (p=0.3). The Covid-19 pandemic did not affect trends of referrals and patient survival. The development of an integrated referral program for patients with liver disease can represent the first step to standardize already existing referral networks between hub and spoke centers. Future studies should focus on the timing of referral according to different etiologies to optimize treatment options and outcomes.

Influence of a regional network combined with a systematic multidisciplinary approach on the outcomes of patients with acute type A aortic dissection

BackgroundWhether in patients with acute type A aortic dissection reduction of intervals between onset of symptoms and diagnosis influences patient outcomes is still not completely defined. MethodsIn 199 patients with acute type A aortic dissection, the efficacy of a systematic multidisciplinary approach and institution of a regional network were evaluated; 90 patients operated before 2016 (Group1) were compared with 109 repaired after 2016 (Group2) for early and late outcomes. ResultsMortality was reduced from 13% in Group1 to 4% in Group2 (p = 0.013). In Group2 a more patients (46%) had arch replacement compared to Group1 (29%)(p = 0.06). In Group2 axillary artery cannulation was almost routinely used (91% vs 67%, p < 0.001) with shorter circulatory arrest time (37 vs 44 min, p < 0.001). The interval from diagnosis to surgery dropped from 210 min in Group1 to 160 min in Group2 (p < 0.001); this reduction was evident both in patients admitted to the emergency department of a spoke and/or a hub center. Patients presenting with or developing shock were reduced from Group1 to Group2 and in particular those reaching the hub center from spoke centers. Survival at 1 and 5 years was 82 ± 4% and 70 ± 5% in Group1 vs 92 ± 3% and 87 ± 8% in Group2 (p = 0.007). ConclusionsOutcomes of patients with acute type A aortic dissection improved using a systematic multidisciplinary approach while a network between spoke and hub centers reduced intervals between diagnosis, transportation to hub center and repair, limiting the incidence of tamponade and shock.

Performance of an AI algorithm during the different phases of the COVID pandemics: what can we learn from the AI and vice versa.

BackgroundArtificial intelligence (AI) has proved to be of great value in diagnosing and managing Sars-Cov-2 infection. ALFABETO (ALL-FAster-BEtter-TOgether) is a tool created to support healthcare professionals in the triage, mainly in optimizing hospital admissions. MethodsThe AI was trained during the pandemic's “first wave” (February-April 2020). Our aim was to assess the performance during the “third wave” of the pandemics (February-April 2021) and evaluate its evolution. The neural network proposed behavior (hospitalization vs home care) was compared with what was actually done. If there were discrepancies between ALFABETO's predictions and clinicians' decisions, the disease's progression was monitored. Clinical course was defined as “favorable/mild” if patients could be managed at home or in spoke centers and “unfavorable/severe” if patients need to be managed in a hub center. ResultsALFABETO showed accuracy of 76%, AUROC of 83%; specificity was 78% and recall 74%. ALFABETO also showed high precision (88%). 81 hospitalized patients were incorrectly predicted to be in “home care” class. Among those “home-cared” by the AI and “hospitalized” by the clinicians, 3 out of 4 misclassified patients (76.5%) showed a favorable/mild clinical course. ALFABETO’s performance matched the reports in literature. ConclusionsThe discrepancies mostly occurred when the AI predicted patients could stay at home but clinicians hospitalized them; these cases could be handled in spoke centers rather than hubs, and the discrepancies may aid clinicians in patient selection. The interaction between AI and human experience has the potential to improve both AI performance and our comprehension of pandemic management.

P242 CARDIOGENIC SHOCK WITH ISCHEMIC PHENOTYPE SECONDARY TO INCESSANT VENTRICULAR TACHYCARDIA: A CALL FOR IMPLEMENTATION OF HUB–AND–SPOKE MODEL

Abstract A 55–years–old patient presents to emergency room with extensive anterior STEMI, complicated by acute pulmonary edema. The ECG showed sinusal tachycardia, Q waves in V1–V3, ST elevation &amp;gt;2mm V2–V6. The echocardiogram showed akinesia of the apex and anterolateral wall with severe reduction of contractile function (LVEF 30%). The patient was treated with CPAP, dual antiplatelet therapy and diuretics; the urgent coronary angiography showed three–vessel disease with occlusion of the proximal LAD, treated with PCI and two drug–eluting stents implantation. 48 after admission to ICU, the patient developed "combined" shock (IC↓ RVS↓ WP↑), sustained by both severe cardiac dysfunction and a septic complication, requiring inotropes and targeted antibiotic therapy (noradrenaline 0.02 gamma/Kg/min and piperacillin/tazobactam i.v). At 96 hours there was a recovery of contractile function and haemodynamics (CI from 1.8 to 2.7). Weaned from inotropes, he began therapy with low doses of ACE inhibitor, beta blocker, antialdosteronic. On the 7th day of hospitalization, without ischemic and/or electrolyte "triggers", the patient developed "arrhythmic storm" with incessant sustained ventricular tachycardias. Arrhythmias persisted despite antiarrhythmics (magnesium sulfate, amiodarone, lidocaine), IOT, sedation, mechanical ventilation. The temporary pacemaker for overdrive pacing was placed in. After placement of IABP, the patient underwent revascularization of residual coronary artery stenosis. Despite 1 hour of assistance (ABLS), incessant ventricular tachycardia persisted; a third–level center for VA–ECMO inside support was called. After positioning VA–ECMO there was progressive clinical stabilization and –concomitantly– a progressive reduction of ventricular tachycardias. ECMO support was needed for over 7 days due to persistence of arrhythmic storm; it was slowly weaned with stabilization of the patient; an AICD was implanted. Residual function of the left ventricle was mild reduced (LVEF40%) despite protracted CPR. There wasn’t residual cognitive impairment. Implementation of multidisciplinary teams in the spoke centers would improve protocols and early treatments in patients with cardiogenic shock; spoke centers would provide early access to life–saving therapies and safe transfer to hub centers.

A Distributed Cancer Care Model with a Technology-Driven Hub-and-Spoke and further Spoke Hierarchy: Findings from a Pilot Implementation Programme in Kerala, India.

The technology enabled distributed model in Kerala is based on an innovative partnership model between Karkinos Healthcare and private health centers. The model is designed to address the barriers to cancer screening by generating demand and by bringing together the private health centers and service providers at various levels to create a network for continued care. This paper describes the implementation process and presents some preliminary findings. Methods: The model follows the hub-and-spoke and further spoke framework. In the pilot phases, from July 2021 to December 2021, five private health centers (partners) collaborated with Karkinos Healthcare across two districts in Kerala. Screening camps were organized across the districts at the community level where the target groups were administered a risk assessment questionnaire followed by screening tests at the spoke hospitals based on a defined clinical protocol. The screened positive patients were examined further for confirmatory diagnosis at the spoke centers. Patients requiring chemotherapy or minor surgeries were treated at the spokes. For radiation therapy and complex surgeries the patients were referred to the hubs. A total of 2,459 individuals were screened for cancer at the spokes and 299 were screened positive. Capacity was built at the spokes for cancer surgery and chemotherapy. A total of 189 chemotherapy sessions and 17 surgeries were performed at the spokes for cancer patients. 70 patients were referred to the hub. Initial results demonstrate the ability of the technology Distributed Cancer Care Network (DCCN) system to successfully screen and detect cancer and to converge the actions of various private health facilities towards providing a continuum of cancer care. The lessons learnt from this study will be useful for replicating the process in other States.

Impact of the SARS-COV-2 Pandemic on the Endovascular Treatment of Acute Stroke – an Italian Single-Center Experience

ObjectivesThe SARS-CoV-2 pandemic greatly influenced the overall quality of healthcare. The purpose of this study was to compare the time variables for acute stroke treatment and evaluate differences in the pre-hospital and in-hospital care before and during the SARS-CoV-2 pandemic, as well as between the first and second waves. Materials and methodsObservational and retrospective study from an Italian hospital, including patients who underwent thrombectomy between January 1st 2019 and December 31st 2020. ResultsOut of a total of 594 patients, 301 were treated in 2019 and 293 in 2020. The majority observed in 2019 came from spoke centers (67,1%), while in 2020 more than half (52%, p < 0.01) were evaluated at the hospital's emergency room directly (ER-NCGH). When compared to 2019, time metrics were globally increased in 2020, particularly in the ER-NCGH groups during the period of the first wave (N = 24 and N = 56, respectively): “Onset-to-door”:50,5 vs 88,5, p < 0,01; “Arrival in Neuroradiology – groin”:13 vs 25, p < 0,01; “Door-to-groin”:118 vs 143,5, p = 0,02; “Onset-to-groin”:180 vs 244,5, p < 0,01; “Groin-to-recanalization”: 41 vs 49,5, p = 0,03. When comparing ER-NCGH groups between the first (N = 56) and second (N = 49) waves, there was an overall improvement in times, namely in the “Door-to-CT” (47,5 vs 37, p < 0,01), “Arrival in Neuroradiology – groin” (25 vs 20, p = 0,03) and “Onset-to-groin” (244,5 vs 227,5, p = 0,02). ConclusionsDuring the SARS-CoV-2 pandemic, treatment for stroke patients was delayed, particularly during the first wave. Reallocation of resources and the shutting down of spoke centers may have played a determinant role.

Uro-oncologic patient management during theCOVID-19 pandemic: survey findings froman Italian oncologic hub.

Aim: Patient and worker satisfaction at an oncologic hub during the COVID-19 pandemic has never been reported. We addressed this topic. Methods: We conducted a survey to test the views of patients (n = 64) and healthcare professionals (n = 52) involved with our operative protocol. Results: A moderate/severe grade of concern due to the COVID-19 emergency was recorded in 63% of patients versus 75% of hospital staff. High/very high versus low satisfaction grade about preventive strategies to reduce the risk of SARS-CoV-2 contagion was identified in the patients compared with the hospital staff group. Conclusion: Surgical treatment at a hub center of uro-oncologic patients coming from spoke centers is well accepted and should, therefore, be recommended. Preventive strategies to reduce the risk of SARS-CoV-2 contagion in hospital staff members should be implemented.

Abstract P189: Using Telemedicine Eliminates The Weekend/after-hours Effect In Acute Ischemic Stroke Patients Receiving Thrombolysis During A Deadly Pandemic

Stroke care has been shown to be worse for patients presenting overnight/weekends (off-hours) to centers compare to those presenting during business hours (on-hours).Telemedicine (TM) helps provide safe management of stroke patients. The UT Teleneurology (UTT) hub provides acute neurological coverage by stroke specialists to 18 spoke centers. To our knowledge, the effect of the Covid-19 pandemic on the “weekend effect” has not been studied. The objective is to compare TM consult volumes and time metrics of stroke patients who received tPA via TM off-hours with those on-hours during the pandemic. In a retrospective query of the UTT registry from 3/20 - 6/20, we identified 122 stroke patients who received tPA - 109 were included in our analysis - 2 were excluded after quality check, 11 were excluded as inpatient strokes. We compared baseline characteristics and time metrics between the off-hours (5pm-7:59am, weekends) and on-hours (weekdays 8am-4:59pm) patients (Table 1). We also compared the number of TM consults between the height of the pandemic (3/20 - 6/20) and the previous year (3/19 - 6/19). Of 109 patients, 72 were managed via TM during off-hours, 37 during on-hours. Baseline characteristics were similar between groups. There were no differences in time metrics including door to needle time. Of note, there was no difference in the number of acute TM consults or patients receiving tPA. There were fewer routine TM consults during the pandemic, and a trend toward fewer phone consults. There was no difference in time metrics between the patients treated off-hours vs on-hours in the pandemic period. TM may be advantageous over in-person neurology coverage during crises, and is consistent regardless of the hour/day. Contrary to other studies, the number of acute TM consults and patients receiving tPA did not differ between the study periods. Routine consults decreased during the pandemic - perhaps coinciding with state closure mandates/fewer hospitalized stroke patients.

Abstract P183: Preserved Acute Stroke Volumes and Treatment Metrics During the Covid 19 Pandemic

Stroke is a devastating disease with high morbidity/mortality. Many studies have shown lower stroke volumes during the Covid 19 pandemic, with possible causes including fear of contracting the virus, limited hospital capacity, etc. Telemedicine (TM) helps provide safe management of stroke patients, and may be advantageous to in-person coverage during crises. The UT Teleneurology (UTT) hub provides acute neurological coverage by stroke specialists to 18 spoke centers. The impact of the pandemic on acute stroke volumes and care is ongoing and its effects should be studied further. The purpose of this study is to compare TM acute stroke volumes and time metrics between the Covid 19 era (March-June 2020) and the previous year (March-June 2019). In a retrospective query of the UTT registry from 3/19 - 6/19 and 3/20 - 6/20, we identified 294 stroke patients who received tPA - 273 were included in our analysis - 4 were excluded after quality check, 17 were excluded as inpatient strokes. We compared baseline and clinical characteristics, volumes, and time metrics between the periods (table 1). Of the 273 patients, 172 received tPA via TM during the 2019 period and 109 received tPA via TM during the 2020 period. Baseline and clinical characteristics were similar between the groups except for race. Of note, there were no differences in acute TM volumes or the number of patients receiving tPA. There was no difference in most metrics, including door to needle time. During the pandemic, camera to needle time was longer (3 minutes), and there was a trend towards longer last well to door time. There were no differences in the volume of acute TM consults, the number of patients receiving tPA, or door to needle time between the pandemic period and the previous year. Camera to needle time was slightly longer during the pandemic, perhaps representing more demands on hospital staff. The trend towards longer last well to door time could be due to public fear of presenting to the hospital during a deadly pandemic.

Effect of the COVID-19 pandemic and the lockdown measures on the local stroke network

IntroductionThe COVID-19 outbreak highly impacted the acute ischemic stroke care management. The primary end point of the study was to evaluate the impact of the COVID-19 outbreak and the following lockdown measures on our hub-and-spoke network; the secondary end point was to evaluate if the impact of the COVID-19 outbreak was different in hub-and-spoke centers.MethodsThis was a retrospective multicenter observational study conducted at the Stroke Units of Policlinico Gemelli, Ospedale San Filippo Neri, Ospedale di Belcolle, and Ospedale San Camillo de Lellis. We collected clinical reports of all consecutive patients admitted with diagnosis of acute ischemic stroke or transient ischemic attack (TIA) during the phase 1 of the lockdown period (11 March 2020–4 May 2020). As controls, we used all consecutive patients admitted for acute ischemic stroke or TIA in the same period of the previous year.ResultsA total of 156 and 142 clinical reports were collected in 2019 and 2020, respectively. During the COVID-19 outbreak, we observed a reduction of number of thrombolysis, a reduction of the length of hospitalization, and an increase of pneumonia. Regarding performance indicators, we observed an increase in onset-to-door time and in door-to-groin time. We did not observe any statistically significant interaction between year (2019 vs 2020) and facility of admission (hub vs spoke) on all variables analyzed.DiscussionOur observational study, involving hub-and-spoke stroke network of a wide regional area, indicates that the COVID-19 outbreak impacted on the acute stroke management. This impact was equally observed in hub as well as in spoke centers.

The "Hub and Spoke" (HandS) ECMO for "Resuscitating" Neonates with Respiratory Life-Threatening Conditions.

Background: Extracorporeal membrane oxygenation (ECMO) implantation for neonates with severe cardiorespiratory life-threatening conditions is highly effective. However, since ECMO is a high-risk and complex therapy, this treatment is usually performed in centers with proven expertise. Methods: A retrospective review of neonates, from January 2014 to January 2020, presenting with life-threatening conditions and treated by means of Hub and Spoke (HandS) ECMO in peripheral (spoke) hospitals. Data were retrieved from our internal ECMO registry. Protocols and checklists were revised and shared with all spoke hospitals located in North-Eastern Italy. Results: Eleven neonates receiving maximal respiratory and cardiovascular support at a spoke hospital underwent HandS ECMO management. All but three patients were affected by life-threatening meconium aspiration syndrome (MAS). The median ECMO support duration and hospitalization were four (range 2–32) and 30 days (range 8–50), respectively. All but two patients (with congenital diaphragmatic hernia), were weaned off ECMO and discharged home. At a mean follow up of 33.7 ± 29.2 months, all survivors were alive and well, without medications, and normal somatic growth. All but one had normal neuropsychological development. Conclusion: HandS ECMO model for neonates with life-threatening conditions is effective and successful. A specialized multidisciplinary team and close cooperation between Hub and Spoke centers are essential for success.

Lombardy regional urgent reorganization for congenital cardiac patients following the Covid-19 pandemic

By the end of February 2020, the COVID-19 pandemic infection had spread in Northern Italy, with thousands of patients infected. In Lombardy, the most affected area, the majority of public and private hospitals were dedicated to caring for COVID-19 patients and were organized following the 'Hub-and-Spoke' model for other medical specialties, like cardiac surgery and interventional procedures for congenital cardiac disease (CHD). Here, we report how the congenital cardiac care system was modified in Lombardy and the first results of this organization. We describe a modified 'Hub-and-Spoke' model - that involves 59 birthplaces and three specialized Congenital Cardiac Centers -- and how the hub center organized his activity. We also reported the data of the consecutive cases hospitalized during this period. From 9 March to 15 April, we performed: a total of 21 cardiac surgeries, 4 diagnostic catheterizations, 3 CT scans, and 2 CMR. In three cases with prenatal diagnosis, the birth was scheduled. The spoke centers referred to our center six congenital cardiac cases. The postop ExtraCorporeal Membrane Oxygenation support was required in two cases; one case died. None of these patients nor their parents or accompanying person was found to be COVID-19-positive; 2 pediatric intensivists were found to be COVID-19-positive, and needed hospitalization without mechanical ventilation; 13 nurses had positive COVID swabs (4 with symptoms), and were managed and isolated at home. Our preliminary data suggest that the model adopted met the immediate needs with a good outcome without increased mortality, nor COVID-19 exposure for the patients who underwent procedures.

Centralization of the ST elevation myocardial infarction care network in the Lombardy region during the COVID-19 outbreak

Centralization of the ST elevation myocardial infarction care network in the Lombardy region during the COVID-19 outbreak

The Obstacle Course of Reperfusion for ST-Segment-Elevation Myocardial Infarction in the COVID-19 Pandemic.

The Obstacle Course of Reperfusion for ST-Segment-Elevation Myocardial Infarction in the COVID-19 Pandemic.

Is perinatal asphyxia predictable?

BackgroundThe objective of our study was to evaluate the association between perinatal asphyxia and hypoxic-ischemic encephalopathy (HIE) with the presence of ante and intrapartum risk factors and/or abnormal fetal heart rate (FHR) findings, in order to improve maternal and neonatal management.MethodsWe did a prospective observational cohort study from a network of four hospitals (one Hub center with neonatal intensive care unit and three level I Spoke centers) between 2014 and 2016. Neonates of gestational age ≥ 35 weeks, birthweight ≥1800 g, without lethal malformations were included if diagnosed with perinatal asphyxia, defined as pH ≤7.0 or Base Excess (BE) ≤ − 12 mMol/L in Umbical Artery (UA) or within 1 h, 10 min Apgar < 5, or need for resuscitation > 10 min.FHR monitoring was classified in three categories according to the American College of Obstetricians and Gynecologists (ACOG). Pregnancies were divided into four classes: 1) low risk; 2) antepartum risk; 3) intrapartum risk; 4) and both ante and intrapartum risk.In the first six hours of life asphyxiated neonates were evaluated using the Thomson score (TS): if TS ≥ 5 neonates were transferred to Hub for further assessment; if TS ≥ 7 hypothermia was indicated.ResultsPerinatal asphyxia occurred in 21.5‰ cases (321/14,896) and HIE in 1.1‰ (16/14,896). The total study population was composed of 281 asphyxiated neonates: 68/5152 (1.3%) born at Hub and 213/9744 (2.2%) at Spokes (p < 0.001, OR 0.59, 95% CI 0.45–0.79). 32/213 (15%) neonates were transferred from Spokes to Hub. Overall, 12/281 were treated with hypothermia. HIE occurred in 16/281 (5.7%) neonates: four grade I, eight grade II and four grade III. Incidence of HIE was not different between Hub and Spokes.Pregnancies resulting in asphyxiated neonates were classified as class 1) 1.1%, 2) 52.3%, 3) 3.2%, and 4) 43.4%. Sentinel events occurred in 23.5% of the cases and FHR was category II or III in 50.5% of the cases. 40.2% cases of asphyxia and 18.8% cases of HIE were not preceded by sentinel events or abnormal FHR.ConclusionsWe identified at least one risk factor associated with all cases of HIE and with most cases of perinatal asphyxia. In absence of risk factors, the probability of developing perinatal asphyxia resulted extremely low. FHR monitoring alone is not a reliable tool for detecting the probability of eventual asphyxia.

Hub-and-spoke centers model of dialysis supported by cashless government scheme in a resource-poor setting: A successful model

<br><b>Introduction:</b> Hub-and-spoke Center Model is initiated, in which peripheral dialysis centers (Spoke Centers) are monitored by Hub Center (Nodal Center). <b>Aim:</b> The aim of the study was to analyze the model of dialysis of Hub-and-Spoke dialysis in our tertiary care center. <b>Methods:</b> Data were collected over a period of 1 year in our center. Functioning of 12 spoke centers, clinicoepidemiological profile of dialysis patients was analyzed. <b>Results:</b> Monitoring the spoke centers included daily interaction with spoke center doctor, nurse, technician, patients through video calling, and guiding them in patient-related problems, infrastructure, reverse osmosis (RO) plant, and administrative issues. Monthly visit by nephrologist to spoke centers and providing outpatient department services to the dialysis patients and scrutinizing the patient data registers, RO plant inspection, water quality analysis data, etc., is being done. Among three hub centers, 30% of patients are being dialyzed in Gandhi Hub-and-Spoke model. Around 6770 sessions of dialysis are done per month for 687 patients registered, with 49% of patients receiving twice weekly hemodialysis. Nearly 25% of machines dedicated to hepatitis B surface antigen and hepatitis C virus-positive patients. Sixty-six patients still on waiting list and less technician staff (one technician/nine patients) indicates need for increasing the machines and staff to improve dialysis care at peripheral centers. <b>Conclusion:</b> Hub-and-Spoke model is an excellent model to provide quality dialysis support to patients in remote areas. Due to increase in dialysis patients, machines and staff need to be increased. Continuous surveillance of the model will help to develop measures/guidelines for effective functioning of the model.<br>

Outcome of patients with large vessel occlusion stroke after first admission in telestroke spoke versus comprehensive stroke center

IntroductionWhile telestroke allows early intravenous thrombolysis (IVT) for ischemic strokes in spoke centers, mechanical thrombectomy (MT) for large vessel occlusion (LVO) is mainly performed at comprehensive stroke centers (CSCs). We...