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It is well accepted that the presence of cytokines belonging to the Th1/Th17/Th22 axis of immuno‐inflammatory response in the joint environment, such as IL‐1β, IL‐17 and IL‐22, respectively, are associated with pathogenesis of several synovial joint degenerative disorders. During temporomandibular joint osteoarthritis (TMJ‐OA), IL‐1β and IL‐17 have been implicated in the inflammation and resorption of sub‐chondral bone; however, the role of Th22 response in the TMJ‐OA pathophysiology has not been established. This study aimed to compare the expression of Th1/Th17/Th22‐type cytokines, chemokines and chemokine receptors in synovial fluid samples obtained from TMJ‐OA or disk displacement with reduction (DDWR) patients. In addition, it aimed to associate these levels with joint pain, imagenological signs of bone degeneration, RANKL production, osteoclastogenesis and osteoclast‐induced bone resorption. Higher levels of IL‐1β, IL‐17 and IL‐22 were expressed in TMJ‐OA compared with DDWR subjects, and these increased levels significantly correlated with RANKL expression, joint pain and articular bone degeneration. Higher levels of CCR5, CCR6 and CCR7, as well as their respective ligands CCL5 and CCL20, responsible for recruitment of IL‐1β, IL‐17 and IL‐22‐producing cells, were over‐expressed in TMJ‐OA compared with DDWR subjects. Osteoclastogenesis and osteoclast‐induced bone resorption were significantly greater in presence of synovial fluid from TMJ‐OA compared with DDWR subjects. These data demonstrate that cytokines, CCLs and CCRs associated with the Th1/Th17/Th22 axis of immuno‐inflammatory response are involved in TMJ‐OA pathogenesis. These findings suggest that IL‐22 is involved in the RANKL expression in TMJ‐OA, which in turn induces differentiation of osteoclasts and subsequent resorption of sub‐chondral bone.  相似文献   
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Objectives

Although hospital clinicians strive to effectively refer patients who require post-acute care (PAC), their discharge planning processes often vary greatly, and typically are not evidence-based.

Design

Quasi-experimental study employing pre-/postdesign. Aimed at improving patient-centered discharge processes, we examined the effects of the Discharge Referral Expert System for Care Transitions (DIRECT) algorithm that provides clinical decision support (CDS) regarding which patients to refer to PAC and to what level of care (home care or facility).

Setting and participants

Conducted in 2 hospitals, DIRECT data elements were collected in the pre-period (control) but discharging clinicians were blinded to the advice and provided usual discharge care. During the postperiod (intervention), referral advice was provided within 24 hours of admission to clinicians, and updated twice daily. Propensity modeling was used to account for differences between the pre-/post patient cohorts.

Measures

Outcomes compared between the control and the intervention periods included PAC referral rates, patient characteristics, and same-, 7-, 14-, and 30-day readmissions or emergency department visits.

Results

Although 24%–25% more patients were recommended for PAC referral by DIRECT algorithm advice, the proportion of patients receiving referrals for PAC did not significantly differ between the control (3302) and intervention (5006) periods. However, the characteristics of patients referred for PAC services differed significantly and inpatient readmission rates decreased significantly across all time intervals when clinicians had DIRECT CDS compared with without. There were no differences observed in return emergency department visits. Largest effects were observed when clinicians agreed with the algorithm to refer (yes/yes).

Conclusions/Implications

Our findings suggest the value of timely, automated, discharge CDS for clinicians to optimize PAC referral for those most likely to benefit. Although overall referral rates did not change with CDS, the algorithm may have identified those patients most in need, resulting in significantly lower inpatient readmission rates.  相似文献   
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Objective: This study aimed to describe real-world experiences following a non-medical switch among adults with type 2 diabetes mellitus (T2DM) in the United States.

Methods: For this cross-sectional study, patients with T2DM (N?=?451) provided data on demographics, and how a non-medical switch of their anti-hyperglycemic agent (AHA) affected their general health, HbA1c levels and medication management, via an Internet-based survey. Patients self-reported their level of satisfaction with the original medication and emotional reactions to the non-medical switch. Patients who recently experienced a non-medical switch of their AHA(s) (n?=?379) were asked about the consequences of switching and their satisfaction with the switch (vs. the original) medication.

Results: Patients most frequently reported feeling very/extremely frustrated, surprised, upset and angry in reaction to a non-medical switch. Patients were somewhat satisfied with their original medication. Between 20% and 30% of patients reported the non-medical switch had a moderate/major effect on their general health, diabetes, mental well-being and control over their health. The blood glucose levels of recent switchers were somewhat/much worse (20.7%) and medication management was somewhat/much worse (12.9%) on the switch (vs. the original) medication. Some recent switchers reported old symptoms returning (7.7%) and experiencing new side-effects (14.2%).

Conclusions: Approximately one in five patients reported a moderate/major negative impact on their blood glucose level, diabetes, mental well-being, general health and control over their health following a non-medical switch. Findings suggest that a non-medical switch may have unintended negative health consequences and results in considerable burden across multiple domains for a sizeable minority of patients with T2DM.  相似文献   
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