scholarly journals Delayed Calcium Normalization after Successful Parathyroidectomy in Primary Hyperparathyroidism

2021 ◽  
Vol 2021 ◽  
pp. 1-4
Author(s):  
Iván Emilio de la Cruz Rodríguez ◽  
Elsy Sarahí García Montesinos ◽  
María Fernanda Rodríguez-Delgado ◽  
Guadalupe Vargas Ortega ◽  
Lourdes Balcázar Hernández ◽  
...  
Keyword(s):  
Case Report ◽  
Primary Hyperparathyroidism ◽  
Treatment Option ◽  
Serum Calcium ◽  
Curative Treatment ◽  
Long Term Outcomes ◽  
Medium Term ◽  
Short Term ◽  
Preoperative Serum

Introduction. Parathyroidectomy is the curative treatment option in primary hyperparathyroidism (PHPT). The decrease of parathormone (PTH) by 50% or more from levels prior to surgery after excision predicts successful parathyroidectomy. Serum calcium is expected to return to normal within 24–72 hours after the surgery; however, nearly 10% have transient, persistent postoperative hypercalcemia. We present a case report of delayed calcium normalization after successful parathyroidectomy in a 38-year-old patient with PHPT. Methods. Parathyroidectomy was performed, with evidence of a decrease in PTH levels of more than 50% in the first 24 hours postoperatively compared to presurgical PTH; however, despite curative parathyroidectomy, a delayed calcium normalization was evidenced, with hypercalcemia persistence up to 120 hours postoperatively. Results. After the first month postoperatively, serum calcium remained normal. In conclusion, approximately 10% of patients with curative parathyroidectomy have transient, persistent postoperative hypercalcemia, which is more likely to occur in patients with higher preoperative serum calcium and PTH levels. Conclusion. Persistent hypercalcemia after the first month postoperatively is related with persistent PHPT, highlighting the importance of calcium monitoring after parathyroidectomy to predict short-term, medium-term, and long-term outcomes and prognosis.

Disruption in Parental Co-habitation and its Effects on Short-Term, Medium-Term, and Long-Term Outcomes of Adolescents

2014 ◽  
Vol 37 (1) ◽  
pp. 58-74 ◽  
Author(s):  
Andrew Hussey ◽  
Debjani Kanjilal ◽  
Anil Nathan
Keyword(s):  
Long Term Outcomes ◽  
Medium Term ◽  
Short Term

Abstract #238: Improved Short Term and Long Term Outcomes of Early Insulin Initiation in Type 2 Diabetes Over 10 Years

2017 ◽  
Vol 23 ◽  
pp. 50
Author(s):  
Jothydev Kesavadev ◽  
Shashank Joshi ◽  
Banshi Saboo ◽  
Hemant Thacker ◽  
Arun Shankar ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Insulin Initiation ◽  
Long Term Outcomes ◽  
Short Term

Effect of Thrombocytopenia on Short-term and Long-term Outcomes after Esophagectomy for Esophageal Cancer

2018 ◽  
Vol 69 (6) ◽  
pp. 327-334
Author(s):  
Takashi Matsumoto ◽  
Naoya Yoshida ◽  
Yoshifumi Baba ◽  
Yohei Nagai ◽  
Hideo Baba
Keyword(s):  
Esophageal Cancer ◽  
Long Term Outcomes ◽  
Short Term

scholarly journals Long-Term Data Traffic Forecasting for Network Dimensioning in LTE with Short Time Series

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1151
Author(s):  
Carolina Gijón ◽  
Matías Toril ◽  
Salvador Luna-Ramírez ◽  
María Luisa Marí-Altozano ◽  
José María Ruiz-Avilés
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Time Series Analysis ◽  
Data Traffic ◽  
Medium Term ◽  
Short Term ◽  
Traffic Forecasting ◽  
Series Analysis ◽  
Radio Planning

Network dimensioning is a critical task in current mobile networks, as any failure in this process leads to degraded user experience or unnecessary upgrades of network resources. For this purpose, radio planning tools often predict monthly busy-hour data traffic to detect capacity bottlenecks in advance. Supervised Learning (SL) arises as a promising solution to improve predictions obtained with legacy approaches. Previous works have shown that deep learning outperforms classical time series analysis when predicting data traffic in cellular networks in the short term (seconds/minutes) and medium term (hours/days) from long historical data series. However, long-term forecasting (several months horizon) performed in radio planning tools relies on short and noisy time series, thus requiring a separate analysis. In this work, we present the first study comparing SL and time series analysis approaches to predict monthly busy-hour data traffic on a cell basis in a live LTE network. To this end, an extensive dataset is collected, comprising data traffic per cell for a whole country during 30 months. The considered methods include Random Forest, different Neural Networks, Support Vector Regression, Seasonal Auto Regressive Integrated Moving Average and Additive Holt–Winters. Results show that SL models outperform time series approaches, while reducing data storage capacity requirements. More importantly, unlike in short-term and medium-term traffic forecasting, non-deep SL approaches are competitive with deep learning while being more computationally efficient.

Short-term and long-term outcomes in living donors for liver transplantation: Cohort study

2020 ◽  
Vol 84 ◽  
pp. 147-153
Author(s):  
Kosei Takagi ◽  
Yuzo Umeda ◽  
Ryuichi Yoshida ◽  
Nobuyuki Watanabe ◽  
Takashi Kuise ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Cohort Study ◽  
Living Donors ◽  
Long Term Outcomes ◽  
Short Term

Treatment options and long-term outcomes in pediatric spinal cord vascular malformations: a case report and review of the literature

2020 ◽  
Vol 36 (12) ◽  
pp. 3147-3152
Author(s):  
Helen J. Zhang ◽  
Nicole Silva ◽  
Elena Solli ◽  
Amanda C. Ayala ◽  
Luke Tomycz ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Case Report ◽  
Vascular Malformations ◽  
Treatment Options ◽  
Review Of The Literature ◽  
Long Term Outcomes

scholarly journals Robotic and laparoscopic liver surgery for colorectal liver metastases: an experience from a German Academic Center

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Mirhasan Rahimli ◽  
Aristotelis Perrakis ◽  
Vera Schellerer ◽  
Andrew Gumbs ◽  
Eric Lorenz ◽  
...  
Keyword(s):  
Abdominal Surgery ◽  
Minimally Invasive ◽  
Liver Surgery ◽  
Colorectal Liver Metastases ◽  
Survival Rates ◽  
Long Term Outcomes ◽  
Short Term ◽  
Minimally Invasive Liver Surgery ◽  
Previous Abdominal Surgery

Abstract Background Minimally invasive liver surgery (MILS) in the treatment of colorectal liver metastases (CRLM) is increasing in incidence. The aim of this work was to present our experience by reporting short-term and long-term outcomes after MILS for CRLM with comparative analysis of laparoscopic (LLS) and robotic liver surgery (RLS). Methods Twenty-five patients with CRLM, who underwent MILS between May 2012 and March 2020, were selected from our retrospective registry of minimally invasive liver surgery (MD-MILS). Thirteen of these patients underwent LLS and 12 RLS. Short-term and long-term outcomes of both groups were analyzed. Results Operating time was significantly longer in the RLS vs. the LLS group (342.0 vs. 200.0 min; p = 0.004). There was no significant difference between the laparoscopic vs. the robotic group regarding length of postoperative stay (8.8 days), measured blood loss (430.4 ml), intraoperative blood transfusion, overall morbidity (20.0%), and liver surgery related morbidity (4%). The mean BMI was 27.3 (range from 19.2 to 44.8) kg/m2. The 30-day mortality was 0%. R0 resection was achieved in all patients (100.0%) in RLS vs. 10 patients (76.9%) in LLS. Major resections were carried out in 32.0% of the cases, and 84.0% of the patients showed intra-abdominal adhesions due to previous abdominal surgery. In 24.0% of cases, the tumor was bilobar, the maximum number of tumors removed was 9, and the largest tumor was 8.5 cm in diameter. The 1-, 3- and 5-year overall survival rates were 84, 56.9, and 48.7%, respectively. The 1- and 3-year overall recurrence-free survival rates were 49.6 and 36.2%, respectively, without significant differences between RLS vs. LLS. Conclusion Minimally invasive liver surgery for CRLM is safe and feasible. Minimally invasive resection of multiple lesions and large tumors is also possible. RLS may help to achieve higher rates of R0 resections. High BMI, previous abdominal surgery, and bilobar tumors are not a barrier for MILS. Laparoscopic and robotic liver resections for CRLM provide similar long-term results which are comparable to open techniques.

scholarly journals Mitral valve repair versus replacement in the elderly: Short-term and long-term outcomes

2014 ◽  
Vol 148 (4) ◽  
pp. 1400-1406 ◽  
Author(s):  
Puja Gaur ◽  
Tsuyoshi Kaneko ◽  
Siobhan McGurk ◽  
James D. Rawn ◽  
Ann Maloney ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Mitral Valve Repair ◽  
The Elderly ◽  
Valve Repair ◽  
Long Term Outcomes ◽  
Short Term
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