ABSTRACT
Background: The decoction form of herbal medicine (D-HM) is mainly prescribed to patients with allergic rhinitis (AR) in Korean Medicine (KM) clinics in the Republic of Korea; however, it is difficult to conduct clinical trials of D-HM due to regulatory issues. This study investigated the clinical safety and effectiveness of D-HM combination therapy for the treatment of AR by analyzing the AR outpatient data from 17 KM clinics. Methods: This retrospective cohort study included patients who visited KM clinics for AR treatment from January 1, 2021, to March 31, 2022. Cases were collated using structured case report forms and divided into the D-HM with KM usual care group (D-HM group) and the KM usual care group (UC group). Since D-HM therapy could not be randomly assigned to the study population, we used optimal propensity score (PS) matching to investigate the effectiveness and safety of D-HM combination therapy in the treatment of AR. Results: Data from 228 patients were collected. After PS matching, 144 patients were finally analyzed. The total nasal symptom score (TNSS) and mini-rhinoconjunctivitis quality of life questionnaire (mini-RQLQ) were significantly improved in the D-HM group compared with those in the UC group (TNSS: p=0.02; mini-RQLQ: p=0.04). Four patients in the D-HM group experienced minor adverse events that were mild and resolved within 15 days. Conclusions: D-HM combination therapy may be beneficial in the management of symptoms and rhinitis-associated quality of life and potentially useful in clinical practice. However, randomized placebo-controlled clinical trials are required to confirm their effectiveness. Study registration: This study has been registered at Clinical Research Information Service (KCT0007242).
ABSTRACT
When making reservations for Cloud services, consumers and providers need to establish service-level agreements through negotiation. Whereas it is essential for both a consumer and a provider to reach an agreement on the price of a service and when to use the service, to date, there is little or no negotiation support for both price and time-slot negotiations (PTNs) for Cloud service reservations. This paper presents a multi-issue negotiation mechanism to facilitate the following: 1) PTNs between Cloud agents and 2) tradeoff between price and time-slot utilities. Unlike many existing negotiation mechanisms in which a negotiation agent can only make one proposal at a time, agents in this work are designed to concurrently make multiple proposals in a negotiation round that generate the same aggregated utility, differing only in terms of individual price and time-slot utilities. Another novelty of this work is formulating a novel time-slot utility function that characterizes preferences for different time slots. These ideas are implemented in an agent-based Cloud testbed. Using the testbed, experiments were carried out to compare this work with related approaches. Empirical results show that PTN agents reach faster agreements and achieve higher utilities than other related approaches. A case study was carried out to demonstrate the application of the PTN mechanism for pricing Cloud resources.