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This article presents an innovative, parallel implementation of the Small BAseline Subset (SBAS) approach to automatically and efficiently process large volumes of multitemporal differential synthetic aperture radar (SAR) interferometry (DInSAR) interferograms generated at the native full spatial resolution of the SAR images. The starting point of the developed full-resolution parallel-SBAS (FR P-SBAS) technique involves some algorithmic extensions for improving the quality of the DInSAR time series to effectively analyze extended deformations and localized displacement phenomena, such as those affecting single buildings and infrastructures. The main focus of the work is on the efficient and scalable FR P-SBAS processing chain implementation, extensively exploiting graphical processing unit (GPU) architectures. Moreover, the presented scalability analysis demonstrates the GPU capability of efficiently generating full-resolution displacement time series starting from large DInSAR datasets. Furthermore, it is also shown that the implemented processing solution easily allows us to deal with SAR data acquired through the Stripmap and TOPS modes. To assess the quality of the generated DInSAR products, an extensive experimental analysis is also shown, based on long sequences of X-Band COSMO-SkyMed Stripmap and C-Band Sentinel-1 TOPS acquisitions relevant to the Campi Flegrei Caldera (Southern Italy), which is monitored through a dense GNSS network. The presented results demonstrate the effectiveness of the FR P-SBAS processing chain in retrieving multifrequency and multiplatform displacement time series at the full spatial resolution with subcentimetric accuracy and in very short time frames, from a few hours for the COSMO-SkyMed datasets up to some tens of hours for the Sentinel-1 case.

We present in this work the new advances of the differential synthetic aperture radar (SAR) interferometry (DInSAR) technique referred to as the parallel Small BAseline Subset (P-SBAS) approach for the generation of displacement time series from the recently available L-band SAR image sequences acquired by the Argentinian SAOCOM-1 constellation. In particular, we first discuss the algorithmic extensions allowing us to retrieve SAOCOM-1 DInSAR products, with a main focus on the exploitation of Stripmap SAR images and multilook interferograms. These algorithmic improvements are relevant to the adjacent single look complex (SLC) image slices merging to the multitemporal residual orbital artifacts mitigation and to the phase unwrapping procedure enhancement. Subsequently, the effectiveness of the extended P-SBAS processing chain is shown through a comparative analysis between the achieved SAOCOM-1 DInSAR results and the corresponding ones relevant to Sentinel-1 and COSMO-SkyMed acquisitions. Moreover, a comparison between the SAOCOM-1 displacement time series and the GNSS measurements, relevant to the Campi Flegrei Caldera (Italy), is presented. This shows that the mean standard deviation value of the differences between the DInSAR and the GNSS time series, the latter projected in the radar line of sight, is about 1 cm, further confirming the effectiveness of the P-SBAS processing chain extension.

Background For the time being, tafamidis is the only approved treatment for wild‐type transthyretin cardiac amyloidosis. However, benefits on all‐cause death only emerge after ≈18 months. The current available staging systems are unable to specifically discriminate patients at high risk of death within 18 months from diagnosis, and the selection of patients who are expected to benefit from tafamidis is left to the clinical judgment of treating physicians, being often based primarily (and sometimes only) on age. We searched baseline variables able to discriminate patients at risk of death within 18 months. Methods and Results We randomly divided our prospectively maintained database in 2 cohorts, a testing (two thirds) and a validating (one third) set, respectively. We used the Eastern Cooperative Oncology Group–Performance Status as a simple scoring of frailty. We analyzed the clinical, laboratory and instrumental features of 691 consecutive wild‐type transthyretin cardiac amyloidosis patients diagnosed between 2006 and 2021. Median follow‐up was 43 months, and 367 patients (53%) died. Eighteen‐month death was predicted by NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide; cutoff 4200 ng/L), cardiac troponin I (cutoff 92 ng/L), and age (cutoff 80 years). At multivariable analysis, Eastern Cooperative Oncology Group–Performance Status >1 along with the selected variables were independent prognostic determinants and outperformed New York Heart Association functional class. The combination of these variables identified standard‐ and high‐risk patients (all variables above the cutoffs) with a median survival of 57 and 17 months, respectively (P

Background: Older adults with type 1 diabetes are at risk for serious hypoglycemia. Automated insulin delivery can reduce risk but has not been sufficiently evaluated in this population., Methods: We conducted a multicenter, randomized crossover trial in adults older than or equal to 65 years of age with type 1 diabetes. Participants completed three 12-week periods of using hybrid closed loop, predictive low-glucose suspend, and sensor-augmented pump insulin delivery in a randomized order. The primary outcome was the percentage of time with continuous glucose monitoring glucose values less than 70 mg/dl., Results: Eighty-two participants between 65 and 86 years of age were randomly assigned: 45% were female; the baseline mean (±SD) glycated hemoglobin level was 7.2±0.9%; and the baseline percentage of time with glucose values less than 70 mg/dl was 2.49±1.78%. In the sensor-augmented pump, hybrid closed-loop, and predictive low-glucose suspend periods, percentages of time with glucose less than 70 mg/dl were 2.57±1.54%, 1.58±0.95%, and 1.67±0.96%, respectively. Compared with the sensor-augmented pump results, the mean difference with the hybrid closed-loop system was -1.05 percentage points (95% confidence interval [CI], -1.48 to -0.73 percentage points; P<0.001) and with the predictive low-glucose suspend system it was -0.93 percentage points (95% CI, -1.27 to -0.66 percentage points; P<0.001). Comparing a hybrid closed-loop system with a sensor-augmented pump, time in the range 70 to 180 mg/dl changed by 8.9 percentage points (95% CI, 7.4 to 10.4 percentage points) and the glycated hemoglobin level changed by 0.2 percentage points (95% CI, -0.3 to -0.1 percentage points). Serious adverse events were uncommon. Severe hypoglycemia occurred in 4% or less of participants; there were two hospitalizations for diabetic ketoacidosis., Conclusions: In older adults with type 1 diabetes, automated insulin delivery decreased hypoglycemia compared with sensor-augmented pump delivery. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases and others; ClinicalTrials.gov number: NCT04016662.).