A child with cardiogenic shock and supraventricular tachycardia presenting in normal sinus rhythm

1996 ◽  
Vol 12 (6) ◽  
pp. 420-421 ◽  
Author(s):  
V R DHARNIDHARKA ◽  
M LIEH-LAI ◽  
A SARNAIK ◽  
S CLAPP
Pain Medicine ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 426-428
Author(s):  
Ashley A Peterson ◽  
Katherine W Arendt ◽  
Emily E Sharpe

Abstract Supraventricular tachycardia is a common arrhythmia in pregnancy. During labor and delivery, neuraxial analgesia is important to prevent arrhythmia recurrence. We present the case of a 27-year-old gravida 2 para 1 woman at 35 weeks’ gestation presenting with supraventricular tachycardia that converted to normal sinus rhythm with adenosine. To prevent recurrence of the arrhythmia, an early epidural was provided during labor to minimize catecholamine release.


2013 ◽  
Vol 65 (6 Suppl) ◽  
pp. S123
Author(s):  
Cheol Lee ◽  
Yeon-Dong Kim ◽  
Dong-Hyuk Seo ◽  
Jae-Hun Lee ◽  
Yoon-Kang Song

Author(s):  
Yong-Yeon Jo ◽  
Joon-myoung Kwon ◽  
Ki-Hyun Jeon ◽  
Yong-Hyeon Cho ◽  
Jae-Hyun Shin ◽  
...  

Abstract Aims Paroxysmal supraventricular tachycardia (PSVT) is not detected owing to its paroxysmal nature, but it is associated with the risk of cardiovascular disease and worsens the patient quality of life. A deep learning model (DLM) was developed and validated to identify patients with PSVT during normal sinus rhythm in this multicenter retrospective study. Methods and Results This study included 12,955 patients with normal sinus rhythm, confirmed by a cardiologist. A DLM was developed using 31,147 ECGs of 9,069 patients from one hospital. We conducted an accuracy test with 13,753 ECGs of 3,886 patients from another hospital. The DLM was developed based on residual neural network. Digitally stored ECG were used as predictor variables and the outcome of the study was ability of the DLM to identify patients with PSVT using an ECG during sinus rhythm. We employed a sensitivity map method to identify an ECG region that had a significant effect on developing PSVT. During accuracy test, the area under the receiver operating characteristic curve of an DLM using a 12-lead ECG for identifying PSVT patients during sinus rhythm was 0.966 (0.948–0.984). The, accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of DLM were 0.970, 0.868, 0.972, 0.255, and 0.998, respectively. The DLM showed delta wave and QT interval were important to identify the PSVT. Conclusion The proposed DLM demonstrated a high performance in identifying PSVT during normal sinus rhythm. Thus, it can be used as a rapid, inexpensive, point-of-care means of identifying PSVT in patients.


2021 ◽  
Author(s):  
Hoda Shokri ◽  
Ihab Ali

Abstract Background The aim is to compare the use of adenosine and verapamil for management of postoperative supraventricular tachycardia in terms of time of conversion of SVT to normal sinus rhythm, success rate, hospital stay length and adverse eventsMethods Patients (54–65 years old) received adenosine or verapamil groups. In the adenosine group, patients received IV adenosine 6 mg bolus then wait 2 minutes, if it failed another 12 mg IV of adenosine was administered. In the verapamil group, patients received IV verapamil 5mg bolus slowly over 2 minutes followed by a second IV bolus of 10 mg, 30 minutes after the initial dose in persistent supraventricular tachycardia (SVT). If SVT persisted, the patient was shifted to adenosine. Results Patients were followed up regarding the efficacy of drug, blood pressure, mean time of conversion of SVT (time elapsed from effective dose of the study drug till conversion of SVT to sinus rhythm) and incidence of adverse events were recorded. The efficacy of adenosine was significantly higher than verapamil (P <0.001). The time of conversion of SVT to sinus rhythm was significantly shorter in adenosine group compared with verapamil group (P < 0.001). The incidence of hypotension was comparable between the study groups. The mean arterial blood pressure and the incidence of complications were comparable.Conclusions Intravenous administration of adenosine effectively treat SVT in terms of higher efficacy and shorter time of conversion of SVT to normal sinus rhythm compared with verapamil without any significant difference regarding the incidence of side effects between the study groups.Trial registrationThis study was approved by Medical ethics committee of Ain Shams University approval number FMASU R 62/ 2019). and the protocol was prospectively registered at ClinicalTrials.gov : NCT 04203368 on December 16, 2019.


2020 ◽  
Vol 4 (4) ◽  
pp. 617-619
Author(s):  
Marc McDowell ◽  
Tasneem Ahmed ◽  
Bill Schroeder ◽  
Shannon Staley

Introduction: Supraventricular tachycardia (SVT) is a condition requiring emergency care in neonates. Case Report: We describe a successfully treated case of neonatal SVT in a four-week-old neonate using the novel adenosine administration method. This technique is potentially easier to facilitate and does not require equipment such as a stopcock. Adenosine 0.2 milligrams per kilogram was drawn up into a syringe containing 0.9% sodium chloride to a total volume of 3 milliliters. Once administered, the patient had near-immediate return to normal sinus rhythm without sequelae. Conclusion: This case demonstrates that the single-syringe method appears potentially safe and effective in neonates.


2021 ◽  
Vol 108 (Supplement_6) ◽  
Author(s):  
J Wareing ◽  
H Sandhar ◽  
A Howitt ◽  
M Yiasemidou ◽  
D Craske

Abstract Introduction ECGs are a NICE recommended pre-operative investigation and an integral part of post-operative monitoring. Delay in recognition of cardiac pathology can be catastrophic. Therefore, ECG machines should be readily available. Here, we report the results of an audit assessing the availability of ECG machines in surgical wards. Method In 2018 and then 2020, a bespoke, nine-item audit proforma was disseminated to all foundation doctors. Results In 2018, 17/32 wards had a ward based, readily available machine, 6/32 shared with another ward and 15/32 did not have a ward-based machine. The same was noted in 2020. In 2018 and 2020, the average time to obtain an ECG machine was 27 and 23 respectively. When no ECG was available, a doctor would obtain the machine 24% in 2018 compare to 52% in 2020. The diagnoses of the patients who had ECGs in 2018 were: normal sinus rhythm, atrial fibrillation, bradycardia, supraventricular tachycardia, sinus tachycardia and STEMI. In 2020 were: normal sinus rhythm, atrial fibrillation, supraventricular tachycardia, sinus tachycardia, atrial flutter, bradycardia, prolonged QTc, hyperkalaemia, STEMI and NSTEMI. The average time for NSTEMI patients to have an ECG was 35mins while for STEMI patients was 11.6mins. Conclusions Whilst our audit has highlighted the importance of ECG machine availability, the time to obtain one remained static between the two cycles. A study investigating the impact on patient outcomes may highlight the necessity for available ECG machines further.


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