AbstractBackgroundInotrope score has been proposed as a marker of clinical outcome after adult heart transplantation (HTx) but is rarely used in practice.MethodsInotrope score during the first 48 h after HTx was calculated in 81 patients as: dopamine + dobutamine + amrinone + milrinone (dose × 15) + epinephrine (dose × 100) + norepinephrine (dose × 100) + enoximone + isoprenaline (dose × 100), with each drug in µg/kg/min. Determinants of inotrope score were identified with linear regression. Cox regression was used to determine the association of inotrope score with mortality.ResultsThe mean recipient age was 52 ± 11 years, and 32 (39.5%) patients were female. Determinants of inotrope score were preoperative C‐reactive protein, serum urea, congenital heart disease, and donor cardiac arrest (R2 = .30). Inotrope score was associated with 5‐year mortality, independent of recipient age and gender (HR 1.03, 95% CI 1.00‐1.07). This association was attenuated when adjusting for female‐to‐male transplant and ischemia time. Inotrope score was also strongly associated with continuous veno‐venous hemofiltration (OR 1.07, 95% CI 1.03‐1.12).ConclusionHigh inotrope score post‐HTx was observed in recipient congenital heart disease and was associated with a higher risk of mortality and acute kidney injury.

04 Jul 2021·Systems Biology in Reproductive MedicineQ4 · MEDICINE

Proteomics based drug repositioning applied to improve in vitro fertilization implantation: an artificial intelligence model

Q4 · MEDICINE

Article

Author: Burgos, Jorge ; Elortza, Felix ; Mas, Jose Manuel ; Azkargorta, Mikel ; Valls, Raquel ; Matorras, Roberto ; Sardon, Teresa ; Rabanal, Aintzane

Embryo implantation is one of the most inefficient steps in assisted reproduction, so the identifying drugs with a potential clinical application to improve it has a strong interest. This work applies artificial intelligence and systems biology-based mathematical modeling strategies to unveil potential treatments by computationally analyzing and integrating available molecular and clinical data from patients. The mathematical models of embryo implantation computationally generated here simulate the molecular networks underneath this biological process. Once generated, these models were analyzed in order to identify potential repositioned drugs (drugs already used for other indications) able to improve embryo implantation by modulating the molecular pathways involved. Interestingly, the repositioning analysis has identified drugs considering two endpoints: (1) drugs able to modulate the activity of proteins whose role in embryo implantation is already bibliographically acknowledged, and (2) drugs that modulate key proteins in embryo implantation previously predicted through a mechanistic analysis of the mathematical models. This second approach increases the scope open for examination and potential novelty of the repositioning strategy. As a result, a list of 23 drug candidates to improve embryo implantation after IVF was identified by the mathematical models. This list includes many of the compounds already tested for this purpose, which reinforces the predictive capacity of our approach, together with novel repositioned candidates (e.g., Infliximab, Polaprezinc, and Amrinone). In conclusion, the present study exploits existing molecular and clinical information to offer new hypotheses regarding molecular mechanisms in embryo implantation and therapeutic candidates to improve it. This information will be very useful to guide future research.Abbreviations: IVF: in vitro fertilization; EI: Embryo implantation; TPMS: Therapeutic Performance Mapping System; MM: mathematical models; ANN: Artificial Neuronal Networks; TNFα: tumour necrosis factor factor-alpha; HSPs: heat shock proteins; VEGF: vascular endothelial growth factor; PPARA: peroxisome proliferator activated receptor-α PXR: pregnane X receptor; TTR: transthyretin; BED: Biological Effectors Database; MLP: multilayer perceptron.

01 Jul 2021·Lasers in Surgery and Medicine

Mechanically Induced Vasospasm‐Evaluation of Spasmolytic Efficacy of 10 Pharmaceutical Agents Using Laser Speckle Contrast Imaging

Author: Gong, Renyan ; Fang, Fang ; Ma, Qiming ; Liu, Donghong ; Chen, Shaofeng ; Zhuang, Yuehong

Background and ObjectivesVasospasm is a thorny problem often encountered in microvascular surgery that seriously threatens the survival of vascularized tissue transfers. This investigation is dedicated to establishing a model of vasospasm and to evaluating the antispasmodic efficacy of 10 pharmacologic agents.Study Design/Materials and MethodsEighty Sprague–Dawley rats were used. After anesthesia and depilation, the femoral neurovascular bundle was exposed, and a pair of microsurgical forceps were used to trigger vasospasm of the femoral vessels by blunt dissection. Then, 10 pharmacological agents, namely, prostaglandin E1, sodium nitroprusside, magnesium sulfate, papaverine, normal saline, phentolamine, verapamil, 2% lidocaine hydrochloride, amrinone, and 12% lidocaine hydrochloride, were dripped to the femoral vessels, after which laser speckle contrast imaging was used to collect perfusion images, acquiring the perfusion and the inner caliber of the femoral vessels at multiple timepoints. Furthermore, blood perfusion and the time consumed to escape vasospasm and reach hyperperfusion in each group were calculated. The difference of spasmolytic efficacy among the agents was statistically analyzed by one‐way analysis of variance.ResultsThere was a significant difference in antispasmodic ability among the 10 agents (P < 0.001). 10% magnesium sulfate and 12% lidocaine were distinguished among the 10 agents in resolving the vasospasm. 10% magnesium sulfate demonstrated the best antispasmodic potency, which enabled the shortest time consumed for vessels to escape spasm and reach hyperperfusion. 12% lidocaine ranked second in efficacy, demonstrating a similar effect except that it could not propel the femoral vein to a state of hyperperfusion. For the remaining agents, the time consumed for the artery to escape spasm was all significantly shortened when compared with normal saline (P < 0.001). For the venous spasm, all agents except prostaglandin E1 could significantly shorten the time consumed for the vein to escape spasm (P < 0.001).ConclusionsIn terms of resolving mechanically induced vasospasm, 10% magnesium sulfate is the best antispasmodic, followed by 12% lidocaine. Lasers Surg. Med. © 2020 Wiley Periodicals LLC

100 Deals associated with Inamrinone Lactate

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KEGG	Wiki	ATC	Drug Bank
-	Inamrinone Lactate	C01CE01	DB01427

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Indication	Country/Location	Organization	Date
Heart Failure	CN	Qilu Pharmaceutical Co., Ltd.	01 Jan 1995

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