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Sökning: WFRF:(Glans Maria)

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1.
  • Babacic, Haris, et al. (författare)
  • Comprehensive proteomics and meta-analysis of COVID-19 host response
  • 2023
  • Ingår i: Nature Communications. - : NATURE PORTFOLIO. - 2041-1723. ; 14:1
  • Tidskriftsartikel (refereegranskat)abstract
    • COVID-19 is characterised by systemic immunological perturbations in the human body, which can lead to multi-organ damage. Many of these processes are considered to be mediated by the blood. Therefore, to better understand the systemic host response to SARS-CoV-2 infection, we performed systematic analyses of the circulating, soluble proteins in the blood through global proteomics by mass-spectrometry (MS) proteomics. Here, we show that a large part of the soluble blood proteome is altered in COVID-19, among them elevated levels of interferon-induced and proteasomal proteins. Some proteins that have alternating levels in human cells after a SARS-CoV-2 infection in vitro and in different organs of COVID-19 patients are deregulated in the blood, suggesting shared infection-related changes.The availability of different public proteomic resources on soluble blood proteome alterations leaves uncertainty about the change of a given protein during COVID-19. Hence, we performed a systematic review and meta-analysis of MS global proteomics studies of soluble blood proteomes, including up to 1706 individuals (1039 COVID-19 patients), to provide concluding estimates for the alteration of 1517 soluble blood proteins in COVID-19. Finally, based on the meta-analysis we developed CoViMAPP, an open-access resource for effect sizes of alterations and diagnostic potential of soluble blood proteins in COVID-19, which is publicly available for the research, clinical, and academic community. Baba & ccaron;ic et al. performed systematic analyses of blood proteins in COVID-19 patients through mass-spectrometry proteomics, showing that a large part of the soluble blood proteome is altered. The authors then developed an open-access resource, CoViMAPP, for meta-analysis of MS proteomics studies of COVID-19 patients.
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2.
  • Glans, Hedvig, et al. (författare)
  • Cutaneous, mucocutaneous and visceral leishmaniasis in Sweden from 1996-2016 : A retrospective study of clinical characteristics, treatments and outcomes 11 Medical and Health Sciences 1103 Clinical Sciences
  • 2018
  • Ingår i: BMC Infectious Diseases. - : Springer Science and Business Media LLC. - 1471-2334. ; 18:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Leishmaniasis is a neglected and poorly reported parasitic infection transmitted by sand flies in tropical and subtropical regions. Knowledge about leishmaniasis has become important in non-endemic countries due to increased migration and travel. Few studies of the clinical management of cutaneous, mucocutaneous and visceral leishmaniasis in non-endemic regions have been published to date. In this study, we aimed to evaluate patient characteristics, clinical manifestations and treatments of leishmaniasis in Sweden, over a 20-year period. Methods: A retrospective observational nationwide study was performed using medical records of patients diagnosed with leishmaniasis in Sweden from 1996 to 2016. Cases with culture and polymerase chain reaction verified leishmaniasis were identified at the Public Health Agency of Sweden. Results: In total, 165 cases of leishmaniasis were diagnosed from 1996 to 2016. Medical records from 156 patients (95%) were available for review and included in the study. Cutaneous leishmaniasis was the dominant manifestation (n = 149, 96%), and in 66 patients (44%) cutaneous leishmaniasis was due to Leishmania tropica. Other manifestations were mucocutaneous (n = 4, 3%), visceral (n = 2, 1%) and post-kala-azar dermal leishmaniasis (n = 1, 1%). During this time period, the number of cases increased, especially after 2013. Most patients (n = 81, 52%) were migrants who were infected in their countries of origin (from 2013 to 2016, mainly Syria or Afghanistan). Other groups were Swedish tourists (25%) and returning workers (13%). The time from collection of the diagnostic sample to the start of treatment was less than one month in 81 (66%) patients and under three months in 124 patients (96%). Among the 149 patients with cutaneous leishmaniasis, 125 patients received antileishmanial treatment, and in 88 of these patients (70%) cure was achieved, regardless of treatment. Conclusions: The number of leishmaniasis cases diagnosed in Sweden increased between 1996 and 2016, mainly in migrants from endemic countries. Although leishmaniasis is a rare disease in Sweden, patients appear to be diagnosed early and treated according to current European guidelines, resulting in an overall high cure rate.
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3.
  • Glans, Maria, et al. (författare)
  • Identifying older adults at increased risk of medication-related hospital readmission
  • 2024
  • Konferensbidrag (refereegranskat)abstract
    • IntroductionPrevious studies show that approximately 40% of hospital readmissions in older adults are medication-related and that about 70% of these could be prevented. A risk assessment tool aiming to identify older adults at increased risk of medication-related readmission could help maximize the impact of implemented preventive measures and save healthcare resources. In this study we made further adjustments to our previously developed risk assessment tool (the HOME Score) aiming to increase its predictive ability as well as its clinical usefulness.MethodsThe risk assessment tool was developed through comparison of possibly medication-related readmissions (n=143) and a comparison group (n=360). Included variables were known at first admission and individually associated with possibly medication-related readmission. Variables were assigned points, and a risk score was calculated for all individuals. A threshold score was decided on, using Youden's index, and the area under the ROC-curve (C-index) was used to measure discrimination. Sensitivity, specificity, and positive and negative predictive values were calculated.ResultsThe developed risk assessment tool - the Hospitalisations, Own home, Medications, and diagnoses (HOMe+) Score - includes six variables assigned one point each. The area under the ROC-curve (C-index) is 0.733, sensitivity 81%, specificity 50%, positive predictive value 39%, and negative predictive value 87% at the threshold score (≥ 2 points).ConclusionsThe HOMe+ Score can help identify older adults in most need of preventive measures aiming to decrease the risk of medication-related hospital readmission. Further studies are needed to validate the HOMe+ Score in clinical care as well as investigate the benefits of implemented activities.
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4.
  • Glans, Maria, et al. (författare)
  • Identifying older adults at increased risk of medication-related readmission to hospital within 30 days of discharge : development and validation of a risk assessment tool
  • 2023
  • Ingår i: BMJ Open. - : BMJ Publishing Group Ltd. - 2044-6055. ; 13:8
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: Developing and validating a risk assessment tool aiming to identify older adults (& GE;65 years) at increased risk of possibly medication-related readmission to hospital within 30 days of discharge.Design: Retrospective cohort study. SettingThe risk score was developed using data from a hospital in southern Sweden and validated using data from four hospitals in the mid-eastern part of Sweden.Participants: The development cohort (n=720) was admitted to hospital during 2017, whereas the validation cohort (n=892) was admitted during 2017-2018.Measures: The risk assessment tool aims to predict possibly medication-related readmission to hospital within 30 days of discharge. Variables known at first admission and individually associated with possibly medication-related readmission were used in development. The included variables were assigned points, and Youden's index was used to decide a threshold score. The risk score was calculated for all individuals in both cohorts. Area under the receiver operating characteristic (ROC) curve (c-index) was used to measure the discrimination of the developed risk score. Sensitivity, specificity and positive and negative predictive values were calculated using cross-tabulation.Results: The developed risk assessment tool, the Hospitalisations, Own home, Medications, and Emergency admission (HOME) Score, had a c-index of 0.69 in the development cohort and 0.65 in the validation cohort. It showed sensitivity 76%, specificity 54%, positive predictive value 29% and negative predictive value 90% at the threshold score in the development cohort.Conclusion: The HOME Score can be used to identify older adults at increased risk of possibly medication-related readmission within 30 days of discharge. The tool is easy to use and includes variables available in electronic health records at admission, thus making it possible to implement risk-reducing activities during the hospital stay as well as at discharge and in transitions of care. Further studies are needed to investigate the clinical usefulness of the HOME Score as well as the benefits of implemented activities.
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5.
  • Glans, Maria, et al. (författare)
  • Medication-related hospital readmissions within 30 days of discharge : A retrospective study of risk factors in older adults
  • 2021
  • Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 16:6
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Previous studies have shown that approximately 20% of hospital readmissions can be medication-related and 70% of these readmissions are possibly preventable. This retrospective medical records study aimed to find risk factors associated with medication-related readmissions to hospital within 30 days of discharge in older adults (≥65 years).METHODS: 30-day readmissions (n = 360) were assessed as being either possibly or unlikely medication-related after which selected variables were used to individually compare the two groups to a comparison group (n = 360). The aim was to find individual risk factors of possibly medication-related readmissions focusing on living arrangements, polypharmacy, potentially inappropriate medication therapy, and changes made to medication regimens at initial discharge.RESULTS: A total of 143 of the 360 readmissions (40%) were assessed as being possibly medication-related. Charlson Comorbidity Index (OR 1.15, 95%CI 1.5-1.25), excessive polypharmacy (OR 1.74, 95%CI 1.07-2.81), having adjustments made to medication dosages at initial discharge (OR 1.63, 95%CI 1.03-2.58) and living in your own home, alone, were variables identified as risk factors of such readmissions. Living in your own home, alone, increased the odds of a possibly medication-related readmission 1.69 times compared to living in your own home with someone (p-value 0.025) and 2.22 times compared to living in a nursing home (p-value 0.037).CONCLUSION: Possibly medication-related readmissions within 30 days of discharge, in patients 65 years and older, are common. The odds of such readmissions increase in comorbid, highly medicated patients living in their own home, alone, and if having medication dosages adjusted at initial discharge. These results indicate that care planning before discharge and the provision of help with, for example, managing medications after discharge, are factors especially important if aiming to reduce the amount of medication-related readmissions among this population. Further research is needed to confirm this hypothesis.
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7.
  • Glans, Maria, et al. (författare)
  • Obstacles and Opportunities in Information Transfer Regarding Medications at Discharge - A Focus Group Study with Hospital Physicians
  • 2022
  • Ingår i: Drug, Healthcare and Patient Safety. - 1179-1365. ; 14, s. 61-73
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose: This qualitative study aimed to investigate experiences and perceptions of hospital physicians regarding the discharging process, focusing on information transfer regarding medications.Methods: By purposive sampling three focus groups were formed. To facilitate discussions and maintain consistency, a semi-structured interview guide was used. Discussions were audio recorded and transcribed verbatim. Qualitative content analysis was used to analyze the anonymized data. A confirmatory analysis concluded that the main findings were supported by data.Results: Identified obstacles were divided into three categories with two sub-categories each: Infrastructure; IT-systems currently used are suboptimal and complex. Hospital and primary care use different electronic medical records, complicating matters. The work organization is not helping with time scarcity and lack of continuity. Distinct routines could help create continuity but are not always in place, known, and/or followed. Physician: knowledge and education in the systems is not always provided nor prioritized. Understanding the consequences of not following routines and taking responsibility regarding the medications list is important. Not everyone has the self-reliance or willingness to do so. Patient/next of kin: For patients to provide information on medications used is not always easy when hospitalized. Understanding information provided can be hard, especially when medical jargon is used and there is no one available to provide support. A central theme, " We're only human", encompasses how physicians do their best despite difficult conditions. Conclusion: There are several obstacles in transferring information regarding medications at discharge. Issues regarding infrastructure are seldom possible for the individual physician to influence. However, several issues raised by the participating physicians are possible to act upon. In doing so medication errors in care transitions might decrease and information transfer at discharge might improve.
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9.
  • Glans, Maria, et al. (författare)
  • Risk factors for hospital readmission in older adults within 30 days of discharge - a comparative retrospective study
  • 2020
  • Ingår i: BMC Geriatrics. - : Springer Science and Business Media LLC. - 1471-2318. ; 20:1, s. 467-467
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: The area of hospital readmission in older adults within 30 days of discharge is extensively researched but few studies look at the whole process. In this study we investigated risk factors related, not only to patient characteristics prior to and events during initial hospitalisation, but also to the processes of discharge, transition of care and follow-up. We aimed to identify patients at most risk of being readmitted as well as processes in greatest need of improvement, the goal being to find tools to help reduce early readmissions in this population.METHODS: This comparative retrospective study included 720 patients in total. Medical records were reviewed and variables concerning patient characteristics prior to and events during initial hospital stay, as well as those related to the processes of discharge, transition of care and follow-up, were collected in a standardised manner. Either a Student's t-test, χ2-test or Fishers' exact test was used for comparisons between groups. A multiple logistic regression analysis was conducted to identify variables associated with readmission.RESULTS: The final model showed increased odds of readmission in patients with a higher Charlson Co-morbidity Index (OR 1.12, p-value 0.002), excessive polypharmacy (OR 1.66, p-value 0.007) and living in the community with home care (OR 1.61, p-value 0.025). The odds of being readmitted within 30 days increased if the length of stay was 5 days or longer (OR 1.72, p-value 0.005) as well as if being discharged on a Friday (OR 1.88, p-value 0.003) or from a surgical unit (OR 2.09, p-value 0.001).CONCLUSION: Patients of poor health, using 10 medications or more regularly and living in the community with home care, are at greater risk of being readmitted to hospital within 30 days of discharge. Readmissions occur more often after being discharged on a Friday or from a surgical unit. Our findings indicate patients at most risk of being readmitted as well as discharging routines in most need of improvement thus laying the ground for further studies as well as targeted actions to take in order to reduce hospital readmissions within 30 days in this population.
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