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Control charts originate from industrial statistics, but are constantly seeing new areas of application, for example in health care (Thor et al. in BMJ Qual Saf 16(5):387–399, 2007. https://doi.org/10.1136/qshc.2006.022194; Suman and Prajapati in Int J Metrol Qual Eng, 2018. https://doi.org/10.1051/ijmqe/2018003). This paper is about the package, an implementation of generalised Markov chain-based control charts with health care applications in mind and with a focus on cost-effectiveness. The methods are based on Zempléni et al. (Appl Stoch Model Bus Ind 20(3):185–200, 2004. https://doi.org/10.1002/asmb.521), Dobi and Zempléni (Qual Reliab Eng Int 35(5):1379–1395, 2019a. https://doi.org/10.1002/qre.2518, Ann Univ Sci Budapestinensis Rolando Eötvös Nomin Sect Comput 49:129–146, 2019b). The implemented ideas in the package were motivated by problems encountered by health care professionals and biostatisticians when assessing the effects and costs of different monitoring schemes and therapeutic regimens. However, the implemented generalisations may be useful in other (e.g., engineering) applications too, as they mainly revolve around the loosening of assumptions seen in traditional control chart theory. The package is able to model processes with random shift sizes (i.e., the degradation of the patient’s health), random repair (i.e., treatment) and random time between samplings (i.e., visits) as well. The article highlights the flexibility of the methods through the modelling of different disease progression and treatment scenarios and also through an application on real-world data of diabetic patients.

Data about the coronavirus disease 2019 (COVID-19) pandemic’s collateral damage on ischemic stroke (IS) care during the second epidemic wave in Central Europe are limited. We sought to evaluate the impact of the COVID-19 outbreak on Hungarian IS care during the two epidemic waves. This retrospective observational study was based on a nationwide reimbursement database that encompasses all IS admissions and all reperfusion interventions, i.e., intravenous thrombolysis (IVT) and endovascular therapy (EVT) from 2 January 2017 to 31 December 2020 in Hungary. COVID-19 pandemic’s effect on the number of IS admissions and reperfusion interventions were analyzed using different statistics: means, medians, trends, relative rates, and linear relationships. The mean and median values of IS admissions and reperfusion interventions decreased only in some measure during the COVID-periods. However, trend analysis demonstrated a significant decline from the trends. The decline’s dynamic and amplitude have differed for each variable. In contrast to IVT, the number of IS admissions and EVTs negatively correlated with the epidemic waves’ amplitude. Besides, the decrease in the number of IS admissions was more pronounced than the decrease in the number of reperfusion interventions. Our study demonstrated a significant disruption in IS care during the COVID-19 epidemic in Hungary, in which multiple different factors might play a role. The disproportionate reduction of IS admission numbers could partially be explained by the effect of health emergency operative measures and changes in patients’ social behavior. Further studies are needed to evaluate the causes of our observations. Supplementary Information The online version contains supplementary material available at 10.1007/s11357-021-00424-z.

Összefoglaló. Bevezetés: Mivel hazánkban a sclerosis multiplex gyakoriságáról, valamint életkori és nemi jellegzetességeiről az elmúlt évtizedekben – egészen 2020-ig – csak regionális jellegű felmérések készültek egy-egy centrum betegforgalma alapján, az újonnan diagnosztizált és már ismert betegek országos koreloszlásáról és annak időbeli változásairól nincsenek ismereteink. Célkitűzés: Jelen munkánkban több mint 14 000 beteg adatainak elemzésével a prevalens és incidens betegek koreloszlásának változását vizsgáljuk 2004–2016 során, és eredményeinket összevetjük az elmúlt évtizedekben közölt hazai adatokkal. Módszer: Munkacsoportunk az egészségbiztosítási pénztár anonimizált NEUROHUN adatbázisát elemezte, amely tartalmazza a 2004 és 2016 között az összes hazai, államilag finanszírozott, a fekvő- és járóbeteg-szakellátásból neurológiai diagnózissal jelentett esetet. A sclerosis multiplex BNO-kódjának előfordulása alapján korábban létrehoztuk a betegség adminisztratív definícióját, és megbecsültük a sclerosis multiplex országos prevalenciáját és incidenciáját. Eredmények: A prevalens betegek átlagéletkora 2015-ben 47,9 év, ugyanebben az évben az incidens betegek átlagéletkora 37,4 év volt. Vizsgálatunk szerint a prevalens betegek átlagéletkora szignifikánsan – évente egyötöd–egyharmad évvel (pKövetkeztetés: Eredményeink szerint az újonnan diagnosztizált sclerosis multiplexes páciensek átlagosan egyre fiatalabbak, és a prevalens betegek között is egyre fiatalabb korosztályok a legnépesebbek, de a javuló túlélés és a hosszabb élettartam miatt a prevalens betegek átlagéletkora összességében valószínűleg fokozatosan emelkedik. Orv Hetil. 2021; 162(19): 746–753. Summary. Introduction: The nationwide age and gender distribution of newly diagnosed and prevalent multiple sclerosis patients has been unknown in Hungary, as until 2020 only regional studies had been reported about the frequency and age characteristics of subjects with multiple sclerosis, based on single-center patient registries. Objective: In the present study with the analysis of over 14 000 patients, we describe the changes in age distribution of prevalent and incident subjects between 2004 and 2016 and compare our results with the data published on the subject during the last decades in Hungary. Method: We have analyzed the pseudonymized NEUROHUN database provided by the single-payer National Health Insurance Fund, that contains each claim submitted by public hospitals and outpatient services for neurologic diseases between 2004 and 2016. Using the ICD10-code of multiple sclerosis, we have previously established the administrative definition of the illness and estimated its prevalence and incidence in the country. Results: The mean age of prevalent patients was 47.9 years in 2015, whereas in the same year the mean age of incident cases was 37.4 years. The average age of prevalent patients shows a significant rise – with an annual increase of one fifth–one third year (pConclusion: Our results suggest that though new patients are younger year-by-year and the most populous age groups are also younger, altogether the average age of prevalent subjects continuously increases, probably due to the longer survival and lifespan of patients with multiple sclerosis. Orv Hetil. 2021; 162(19): 746–753.

Összefoglaló. Bevezetés: Mivel hazánkban a sclerosis multiplex gyakoriságáról, valamint életkori és nemi jellegzetességeiről az elmúlt évtizedekben - egészen 2020-ig - csak regionális jellegű felmérések készültek egy-egy centrum betegforgalma alapján, az újonnan diagnosztizált és már ismert betegek országos koreloszlásáról és annak időbeli változásairól nincsenek ismereteink. Célkitűzés: Jelen munkánkban több mint 14 000 beteg adatainak elemzésével a prevalens és incidens betegek koreloszlásának változását vizsgáljuk 2004-2016 során, és eredményeinket összevetjük az elmúlt évtizedekben közölt hazai adatokkal. Módszer: Munkacsoportunk az egészségbiztosítási pénztár anonimizált NEUROHUN adatbázisát elemezte, amely tartalmazza a 2004 és 2016 között az összes hazai, államilag finanszírozott, a fekvő- és járóbeteg-szakellátásból neurológiai diagnózissal jelentett esetet. A sclerosis multiplex BNO-kódjának előfordulása alapján korábban létrehoztuk a betegség adminisztratív definícióját, és megbecsültük a sclerosis multiplex országos prevalenciáját és incidenciáját. Eredmények: A prevalens betegek átlagéletkora 2015-ben 47,9 év, ugyanebben az évben az incidens betegek átlagéletkora 37,4 év volt. Vizsgálatunk szerint a prevalens betegek átlagéletkora szignifikánsan - évente egyötöd-egyharmad évvel (p0,001) - emelkedik, mégpedig a nők esetében nagyobb mértékben. A nők átlagosan fél évvel idősebbek, mint a férfi páciensek (szignifikáns különbség: p = 0,002). A prevalens betegekben a legnépesebb korosztály az ötvenévesek felől a fiatalabb, 35-40 éves korosztály felé mozdul. Az incidens betegek átlagéletkora lassan, de szignifikánsan - évente átlagosan egyharmad évvel (p0,001) - csökken. Következtetés: Eredményeink szerint az újonnan diagnosztizált sclerosis multiplexes páciensek átlagosan egyre fiatalabbak, és a prevalens betegek között is egyre fiatalabb korosztályok a legnépesebbek, de a javuló túlélés és a hosszabb élettartam miatt a prevalens betegek átlagéletkora összességében valószínűleg fokozatosan emelkedik. Orv Hetil. 2021; 162(19): 746-753.The nationwide age and gender distribution of newly diagnosed and prevalent multiple sclerosis patients has been unknown in Hungary, as until 2020 only regional studies had been reported about the frequency and age characteristics of subjects with multiple sclerosis, based on single-center patient registries.In the present study with the analysis of over 14 000 patients, we describe the changes in age distribution of prevalent and incident subjects between 2004 and 2016 and compare our results with the data published on the subject during the last decades in Hungary.We have analyzed the pseudonymized NEUROHUN database provided by the single-payer National Health Insurance Fund, that contains each claim submitted by public hospitals and outpatient services for neurologic diseases between 2004 and 2016. Using the ICD10-code of multiple sclerosis, we have previously established the administrative definition of the illness and estimated its prevalence and incidence in the country.The mean age of prevalent patients was 47.9 years in 2015, whereas in the same year the mean age of incident cases was 37.4 years. The average age of prevalent patients shows a significant rise - with an annual increase of one fifth-one third year (p0.001) - with a more pronounced increase among women. The age of women is higher by half a year (p = 0.002). The most populous age groups among prevalent subjects shift from the fifties towards the younger generations between 35-40 years of age. The average age of incident subjects slowly, but significantly decreases, with a mean annual decrease of about one third year (p0.001).Our results suggest that though new patients are younger year-by-year and the most populous age groups are also younger, altogether the average age of prevalent subjects continuously increases, probably due to the longer survival and lifespan of patients with multiple sclerosis. Orv Hetil. 2021; 162(19): 746-753.

Introduction Considerable depressive symptoms follow stroke in about one third of patients. Initial depressive symptoms may wane after the acute phase of stroke, but persisting depressive symptoms adversely affect rehabilitation and quality of life. We set forth to evaluate predictors of depressive symptoms with a focus on socioeconomic factors. Methods We evaluated clinical features and socioeconomic characteristics in 233 consecutive patients with acute ischemic stroke or TIA. Depressive symptoms could be evaluated in 168 subjects in the acute phase with a repeated testing after a mean of 14.7 months via telephone interview in 116 patients. Survival status, scores on the Center for Epidemiologic Studies-Depression Scale (CES-D), Beck Depression Inventory (BDI) and disability (modified Rankin scale, mRS) were recorded. Results In the acute phase, employment status (p = 0.037) and level of education (p = 0.048) whereas one year later dependency (mRS≥3, p = 0.002) and income (p = 0.012) were the significant predictors of the severity of depressive symptoms. A change from independent (mRS≤2) to dependent living predicted worsening depressive symptoms (p = 0.008), whereas improving to functional independence from an initially dependent condition was associated with diminishing depressive symptoms (p = 0.077 for CES-D and p = 0.044 for BDI) in the first year after an acute ischemic cerebrovascular event. Conclusions Predictors of the severity of depressive symptoms differed in the acute phase and at follow-up. In addition to disability, education and employment status in the acute phase and income in the late phase predict the severity of depressive symptoms after ischemic stroke or TIA.

ObjectivesAs there were only regional studies in Hungary about the prevalence of multiple sclerosis (MS), we aimed to estimate its epidemiological features using data of Hungary's single-payer health insurance system.MethodsPseudonymized database of claims reported by hospitals and outpatient services between 2004-2016 was analyzed and linked with an independent database of outpatient pharmacy refills between 2010-2016. We established an administrative case definition of MS and validated it on medical records of 309 consecutive patients. A subject was defined as MS-patient if received MS diagnosis (International Classification of Diseases, 10th edition, code G35) on three or more occasions at least in 2 calendar years and at least once documented by a neurologist. Patients were counted as incident cases in the year of the first submitted claim for MS. We allowed a 6-year-long run-in period, so only data between 2010-2015 are discussed.ResultsSensitivity of the administrative case definition turned out to be 99%, while specificity was >99%. Crude prevalence of MS has increased from 109.3/100,000 in 2010 to 130.8/100,000 in 2015 (p-value = 0.000003). Crude incidence declined from 7.1/100,000 (2010) to 5.4/100,000 (2015) (p-value = 0.018). Direct standardization - based on European standard population and results of nationwide Hungarian census of 2011 - revealed that age standardized prevalence was 105.2/100,000 (2010), which has grown to 127.2/100,000 (2015) (p-value = 0.000001). Age standardized incidence rate declined from 6.7/100,000 (2010) to 5.1/100,000 (2015) (p-value = 0.016). The ratio of MS-patients receiving ≥1 prescription for disease modifying treatment increased from 0.19 (2010) to 0.29 (2015) (p-value = 0.0051). The female/male ratio of prevalent cases remained 2.6.DiscussionThe prevalence of MS in Hungary is higher than previously reported, the incidence rate is moderate. The prevalence is rising, the incidence rate shows decline. The proportion of patients receiving disease modifying treatment grows but was still around 30% in 2015.

ObjectivesPsychiatric symptoms (PS) can be non-motor features in Parkinson's disease (PD) which are common even in the prodromal, untreated phase of the disease. Some PS, especially depression and anxiety recently became known predictive markers for PD. Our objective was to explore retrospectively the prevalence of PS before the diagnosis of PD.MethodsIn the framework of the Hungarian Brain Research Program we created a database from medical and medication reports submitted for reimbursement purposes to the National Health Insurance Fund in Hungary, a country with 10 million inhabitants and a single payer health insurance system. We used record linkage to evaluate the prevalence of PS before the diagnosis of PD and compared that with patients with ischemic cerebrovascular lesion (ICL) in the period between 2004-2016 using ICD-10 codes of G20 for PD, I63-64 for ICL and F00-F99 for PS. We included only those patients who got their PD, ICL and psychiatric diagnosis at least twice.ResultsThere were 79 795 patients with PD and 676 874 patients with ICL. Of the PD patients 16% whereas of those with ischemic cerebrovascular lesion 9.7% had a psychiatric diagnosis before the first appearance of PD or ICL (pDiscussionThe higher rate of psychiatric morbidity in the premotor phase of PD may reflect neurotransmitter changes in the early phase of PD.