Transcatheter aortic valve implantation for combined aortic and mitral stenoses: Insights from the OCEAN-TAVI Registry.

Mitral stenosis (MS) occasionally coexists with aortic stenosis (AS). Limited data are available regarding the functional class and clinical outcomes of patients who undergo transcatheter aortic valve implantation (TAVI) for combined AS and MS. This study compared the clinical outcomes in patients with and without MS who underwent TAVI for severe AS and assessed the impact of mitral annulus calcification (MAC) severity, transmitral gradient (TMG) and mitral valve area (MVA) on outcomes in patients with combined AS and MS. We investigated patients in the OCEAN-TAVI registry who underwent TAVI. MS was defined as an MVA ≤ 1.5 cm2 or TMG ≥ 5 mmHg. The composite of all-cause death and admission for heart failure was compared between patients with and without MS. The impact of MAC, TMG and MVA on outcomes was assessed in patients with combined AS and MS. We identified 106 patients with MS (MAC 84%; TMG 6.4 ± 2.6 mmHg; MVA 1.10 ± 0.31 cm2) and 6570 without MS as controls. The MS group was older (85 ± 5 vs. 84 ± 5 years, P = 0.033), more of women (85 vs. 67%, P < 0.01), and had a higher risk of surgery (the Society of Thoracic Surgeons Mortality Score 8.7 ± 5.1 vs. 7.6 ± 5.9, P = 0.047) than the controls. In the MS group, the New York Heart Association Functional Class was 3 or 4 in 56% of the patients at baseline and 6% at 1 year after TAVI. Thirty-day mortality (2.8% vs. 1.3%, P = 0.18) and early composite outcomes (17% vs. 15%, P = 0.56) were comparable between patients with and without MS. During a median follow-up of 2.1 years, the presence of MS was associated with a higher incidence of adverse events compared with controls (adjusted hazard ratio [HR] 1.84; 95% confidence interval [CI] 1.34-2.51, P < 0.01), even on propensity score matched analysis (adjusted HR 1.91; 95% CI 1.14-3.22, P < 0.01). Moderate or severe MAC contributed to increased risk of adverse events in patients with MS (adjusted HR 2.89; 95% CI 1.20-6.99, P = 0.018), but TMG and MVA did not. In patients undergoing TAVI for severe AS, those with moderate or severe MS experienced worse outcomes after TAVI compared with those without MS. Patients with combined AS and MS sustained symptom improvement at 1-year post-TAVI. MAC severity was a useful predictor of adverse events compared with MS haemodynamics such as TMG and MVA in patients with combined AS and MS.

Kato N ，Tabata M ，Noguchi M ，Ito J ，Obunai K ，Watanabe H ，Yashima F ，Shirai S ，Tada N ，Naganuma T ，Yamawaki M ，Yamanaka F ，Ueno H ，Ohno Y ，Izumo M ，Nishina H ，Asami M ，Watanabe Y ，Yamamoto M ，Otsuka T ，Hayashida K ，OCEAN‐TAVI investigators ... -  《ESC Heart Failure》

Contemporary Outcomes of TAVR Using a Balloon-Expandable Valve in Patients With Severe Mitral Stenosis: Insights From the Transcatheter Valve Therapies Registry.

Kumar A ，Ahmad IN ，Flaherty JD ，Nagaraja V ，Huded CP ，Reed GW ，Puri R ，Rassi AN ，Goel SS ，Jneid H ，McCabe JM ，Guerrero M ，Zahr F ，Krishnaswamy A ，Kapadia SR ... -  《-》

Comparison of Two Modern Survival Prediction Tools, SORG-MLA and METSSS, in Patients With Symptomatic Long-bone Metastases Who Underwent Local Treatment With Surgery Followed by Radiotherapy and With Radiotherapy Alone.

Survival estimation for patients with symptomatic skeletal metastases ideally should be made before a type of local treatment has already been determined. Currently available survival prediction tools, however, were generated using data from patients treated either operatively or with local radiation alone, raising concerns about whether they would generalize well to all patients presenting for assessment. The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA), trained with institution-based data of surgically treated patients, and the Metastases location, Elderly, Tumor primary, Sex, Sickness/comorbidity, and Site of radiotherapy model (METSSS), trained with registry-based data of patients treated with radiotherapy alone, are two of the most recently developed survival prediction models, but they have not been tested on patients whose local treatment strategy is not yet decided. (1) Which of these two survival prediction models performed better in a mixed cohort made up both of patients who received local treatment with surgery followed by radiotherapy and who had radiation alone for symptomatic bone metastases? (2) Which model performed better among patients whose local treatment consisted of only palliative radiotherapy? (3) Are laboratory values used by SORG-MLA, which are not included in METSSS, independently associated with survival after controlling for predictions made by METSSS? Between 2010 and 2018, we provided local treatment for 2113 adult patients with skeletal metastases in the extremities at an urban tertiary referral academic medical center using one of two strategies: (1) surgery followed by postoperative radiotherapy or (2) palliative radiotherapy alone. Every patient's survivorship status was ascertained either by their medical records or the national death registry from the Taiwanese National Health Insurance Administration. After applying a priori designated exclusion criteria, 91% (1920) were analyzed here. Among them, 48% (920) of the patients were female, and the median (IQR) age was 62 years (53 to 70 years). Lung was the most common primary tumor site (41% [782]), and 59% (1128) of patients had other skeletal metastases in addition to the treated lesion(s). In general, the indications for surgery were the presence of a complete pathologic fracture or an impending pathologic fracture, defined as having a Mirels score of ≥ 9, in patients with an American Society of Anesthesiologists (ASA) classification of less than or equal to IV and who were considered fit for surgery. The indications for radiotherapy were relief of pain, local tumor control, prevention of skeletal-related events, and any combination of the above. In all, 84% (1610) of the patients received palliative radiotherapy alone as local treatment for the target lesion(s), and 16% (310) underwent surgery followed by postoperative radiotherapy. Neither METSSS nor SORG-MLA was used at the point of care to aid clinical decision-making during the treatment period. Survival was retrospectively estimated by these two models to test their potential for providing survival probabilities. We first compared SORG to METSSS in the entire population. Then, we repeated the comparison in patients who received local treatment with palliative radiation alone. We assessed model performance by area under the receiver operating characteristic curve (AUROC), calibration analysis, Brier score, and decision curve analysis (DCA). The AUROC measures discrimination, which is the ability to distinguish patients with the event of interest (such as death at a particular time point) from those without. AUROC typically ranges from 0.5 to 1.0, with 0.5 indicating random guessing and 1.0 a perfect prediction, and in general, an AUROC of ≥ 0.7 indicates adequate discrimination for clinical use. Calibration refers to the agreement between the predicted outcomes (in this case, survival probabilities) and the actual outcomes, with a perfect calibration curve having an intercept of 0 and a slope of 1. A positive intercept indicates that the actual survival is generally underestimated by the prediction model, and a negative intercept suggests the opposite (overestimation). When comparing models, an intercept closer to 0 typically indicates better calibration. Calibration can also be summarized as log(O:E), the logarithm scale of the ratio of observed (O) to expected (E) survivors. A log(O:E) > 0 signals an underestimation (the observed survival is greater than the predicted survival); and a log(O:E) < 0 indicates the opposite (the observed survival is lower than the predicted survival). A model with a log(O:E) closer to 0 is generally considered better calibrated. The Brier score is the mean squared difference between the model predictions and the observed outcomes, and it ranges from 0 (best prediction) to 1 (worst prediction). The Brier score captures both discrimination and calibration, and it is considered a measure of overall model performance. In Brier score analysis, the "null model" assigns a predicted probability equal to the prevalence of the outcome and represents a model that adds no new information. A prediction model should achieve a Brier score at least lower than the null-model Brier score to be considered as useful. The DCA was developed as a method to determine whether using a model to inform treatment decisions would do more good than harm. It plots the net benefit of making decisions based on the model's predictions across all possible risk thresholds (or cost-to-benefit ratios) in relation to the two default strategies of treating all or no patients. The care provider can decide on an acceptable risk threshold for the proposed treatment in an individual and assess the corresponding net benefit to determine whether consulting with the model is superior to adopting the default strategies. Finally, we examined whether laboratory data, which were not included in the METSSS model, would have been independently associated with survival after controlling for the METSSS model's predictions by using the multivariable logistic and Cox proportional hazards regression analyses. Between the two models, only SORG-MLA achieved adequate discrimination (an AUROC of > 0.7) in the entire cohort (of patients treated operatively or with radiation alone) and in the subgroup of patients treated with palliative radiotherapy alone. SORG-MLA outperformed METSSS by a wide margin on discrimination, calibration, and Brier score analyses in not only the entire cohort but also the subgroup of patients whose local treatment consisted of radiotherapy alone. In both the entire cohort and the subgroup, DCA demonstrated that SORG-MLA provided more net benefit compared with the two default strategies (of treating all or no patients) and compared with METSSS when risk thresholds ranged from 0.2 to 0.9 at both 90 days and 1 year, indicating that using SORG-MLA as a decision-making aid was beneficial when a patient's individualized risk threshold for opting for treatment was 0.2 to 0.9. Higher albumin, lower alkaline phosphatase, lower calcium, higher hemoglobin, lower international normalized ratio, higher lymphocytes, lower neutrophils, lower neutrophil-to-lymphocyte ratio, lower platelet-to-lymphocyte ratio, higher sodium, and lower white blood cells were independently associated with better 1-year and overall survival after adjusting for the predictions made by METSSS. Based on these discoveries, clinicians might choose to consult SORG-MLA instead of METSSS for survival estimation in patients with long-bone metastases presenting for evaluation of local treatment. Basing a treatment decision on the predictions of SORG-MLA could be beneficial when a patient's individualized risk threshold for opting to undergo a particular treatment strategy ranged from 0.2 to 0.9. Future studies might investigate relevant laboratory items when constructing or refining a survival estimation model because these data demonstrated prognostic value independent of the predictions of the METSSS model, and future studies might also seek to keep these models up to date using data from diverse, contemporary patients undergoing both modern operative and nonoperative treatments. Level III, diagnostic study.

Lee CC ，Chen CW ，Yen HK ，Lin YP ，Lai CY ，Wang JL ，Groot OQ ，Janssen SJ ，Schwab JH ，Hsu FM ，Lin WH ... -  《-》

Calcific Aortic Stenosis: A Review.

Otto CM ，Newby DE ，Hillis GS 《-》

Impact of prior hospitalization for heart failure on clinical outcomes of patients after transcatheter aortic valve implantation with new-generation devices: Insights from the LAPLACE-TAVI registry.

A history of hospitalization for heart failure (HHF) before transcatheter aortic valve implantation (TAVI) or surgical aortic valve replacement is associated with the prognosis of patients with severe aortic stenosis (AS). However, the impact of prior HHF on clinical outcomes after contemporary TAVI using new-generation transcatheter heart valves (THVs) has not been thoroughly investigated. Using data from the aLliAnce for exPloring cLinical prospects of AortiC valvE disease (LAPLACE)-TAVI registry, we investigated 2,752 patients who underwent TAVI with new-generation THVs with a median follow-up of 627 days. The primary outcomes were all-cause mortality and heart failure readmission after TAVI. Patients with a history of HHF (n = 809) showed a higher 30-day mortality than patients without prior HHF (n = 1,943). A Kaplan-Meier analysis revealed that the prior HHF group showed a higher incidence of the primary outcome than the non-prior HHF group (27.4% vs. 16.4%, log-rank p = 0.001). In a Cox regression analysis, prior HHF was significantly associated with the risk of the primary outcome, even after adjusting for covariates (hazard ratio, 1.344; 95% confidence interval, 1.103-1.638; p = 0.003). A subanalysis showed that the prior HHF group with ejection fraction (EF) ≥ 50% had a higher risk of the primary outcome than the non-prior HHF group, whereas the prior HHF group with EF < 50% had the worst outcome. A history of prior HHF is associated with worse outcomes in patients with severe AS, both in those with preserved EF and those with reduced EF, even after TAVI using new-generation devices.

Fukutomi M ，Onishi T ，Ando T ，Higuchi R ，Hagiya K ，Saji M ，Takamisawa I ，Iguchi N ，Takayama M ，Shimizu A ，Shimizu J ，Doi S ，Okazaki S ，Sato K ，Tamura H ，Yokoyama H ，Takanashi S ，Tobaru T ... -  《-》