From the DIP sufferers recorded in 2015, offending drugs have been utilized by 1285 (69.83%). usage of offending medications was analyzed. Outcomes The annual prevalence of Drop was 4.09 per 100000 people in ’09 2009 and 7.02 in 2015 (CAGR: 9.42%, beliefs 0.05 were thought to indicate statistical significance. All statistical analyses had been performed using edition 9.4 (SAS institute, Cary, NC, USA) Ethics declaration It was out of the question to recognize the sufferers because person data were anonymized in the KNHIC data source. As a result, the Institutional Review Plank (IRB) of Hallym School INFIRMARY exempted this research in the IRB process regarding to IRB rules (IRB No: 2016-1081). Outcomes Prevalence of Drop in 2009C2015 The full total variety of Drop situations was 859 in ’09 2009, and it risen to 1840 in 2015. From the Drop sufferers documented in 2015, offending medications had been utilized by 1285 (69.83%). The rest of the Drop sufferers may took 25-hydroxy Cholesterol an offending medication for less than 28 times during the period of 12 months before Drop diagnosis. Hereditary distinctions might have been another aspect also, being a prior research reported that not absolutely all sufferers using dopamine receptor preventing agents knowledge Parkinsonism, recommending that genetic elements might have an effect on the occurrence of Drop.7 The annual prevalences of DIP, standardizing the populace by sex and age to 2015 values, were 4.09 per 100000 in ’09 2009 and 7.02 in 2015. The prevalence of Drop was highest in 2015. The CAGR elevated by 9.42%, which increasing craze was significant statistically. Desk 1 displays the annual prevalence prices of Drop per 100000 people regarding to sex. The annual prevalence of Drop amongst females was 1.98 times greater than that among men. The CAGR elevated more in guys (8.68%) than in females (9.82%). Between 2009 and 2015, the prevalence was highest in people aged 70C79 years and was minimum in those aged 40C59 years. In the previous group, CAGRs had been 14.6 per 100000 people in ’09 2009 and 24.0 in 2015. Nevertheless, for the last mentioned group, these were 0.6 in ’09 2009 and 1.5 in 2015. The CAGR elevated in every generation (Fig. 1). Open up in another home window Fig. 1 Age-specific prevalence of Drop in Korea from 2009 to 2015. Drop, drug-induced parkinsonism. Desk 1 Prevalence of Drug-Induced Parkinsonism thead th valign=”middle” align=”still left” rowspan=”2″ colspan=”1″ design=”background-color:rgb(230,231,232)” /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”7″ design=”background-color:rgb(230,231,232)” Season /th th valign=”middle” align=”middle” rowspan=”2″ colspan=”1″ design=”background-color:rgb(230,231,232)” Development price (CAGR) (%) /th th valign=”middle” align=”middle” rowspan=”2″ colspan=”1″ design=”background-color:rgb(230,231,232)” Cochran-Armitage /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2009 /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2010 /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2011 /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2012 /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2013 /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2014 /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2015 /th /thead Patients with DIP (n)85911321166143016161633184013.54 0.001Age group (n)?40C4955424666839212815.12 0.001?50C5910911013817920219422813.09 0.001?60C692573323223543813604228.620.001?70C7935751751464070471675013.17 0.001?808113114619124627131225.200.001The percentage of having a prescription for an offending drug before DIP diagnosis75.3276.5074.8770.8471.4170.6169.84-1.250.188Crude prevalence (per 100000)3.794.844.845.776.356.267.0210.820.001Annual age- and sex-standardized prevalence* (per 100000)4.095.215.156.046.546.367.029.420.002Age-standardized prevalence by sex* (per 100000)?Male2.843.363.584.254.523.994.688.680.018?Female5.256.936.617.708.428.579.219.820.001 Open in a separate window DIP, drug-induced parkinsonism; CAGR, compound annual growth rate. *Standardized using the 2015 population. Utilization of offending drugs Offending drugs used before DIP diagnosis Offending drugs were identified by classifying DIP patients who were prescribed an offending drug for at least 28 days over the course of 1 year prior to the index date (1285 people). The index date was defined as the date of the first diagnosis of DIP. The offending drugs that DIP patients were most commonly prescribed were antiemetic and gastrointestinal motility agents (68.40%), followed by atypical antipsychotics (38.21%) and typical antipsychotics (23.66%) (Table 2). We then investigated the utilization of causative drugs among those who had been prescribed an offending drug for at least 28 days. Table 2 Utilization of Offending Drugs before and after DIP Diagnosis in 2015 thead th valign=”middle” align=”left” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” Drug /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” Before DIP diagnosis* (%) /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” After DIP diagnosis? (%) /th /thead Typical antipsychoticsHaloperidol17.4315.38Pimozide0.080.12Amisulpride1.791.40Levomepromazine1.631.63Promazine5.455.24Sulpiride2.721.40Subtotal23.6621.10Atypical antipsychoticsRisperidone23.9725.17Olanzapine10.9712.94Aripiprazole10.9711.89Ziprasidone0.470.58Subtotal38.2145.34Dopamine depletersTetrabenazine0.160.47Calcium channel antagonists (P-channel)Flunarizine7.783.96Calcium channel antagonists (L-channel)Diltiazem5.146.29Verapamil0.780.82Subtotal5.766.99AntiepilepticValproate17.8222.03Antiemetic and gastric mobility agentsMetoclopramide19.9211.19Levosulpiride49.2624.71Clebopride3.891.86Itopride31.3625.64Subtotal68.4046.39Mood stabilizersLithium5.846.99AntiarrhythmicAmiodarone1.321.63ImmunosuppressantsCyclosporin1.400.82AntidepressantsFluoxetine5.214.20Sertraline6.156.64Moclobemide0.000.12Subtotal10.5110.49Total100.00 (n=1285)100.00 (n=858) Open in a separate window DIP, drug-induced parkinsonism. *Before DIP diagnosis (%): 1) Numerator: DIP patients who were prescribed the offending drug. 2) Denominator: DIP patients who were prescribed an offending.The problem with this definition is that many patients with DIP may be misdiagnosed with IPD because the clinical features of these two conditions are indistinguishable.7 In addition, because the NHIS database is a medical utilization record, this does not include people who did not visit medical institutions. annual prevalence of DIP was 4.09 per 100000 people in 2009 2009 and 7.02 in 2015 (CAGR: 9.42%, values 0.05 were considered to indicate statistical significance. All statistical analyses were performed using version 9.4 (SAS institute, Cary, NC, USA) Ethics statement It was impossible to identify the patients because individual data were anonymized in the KNHIC database. Therefore, the Institutional Review Board (IRB) of Hallym University Medical Center exempted this study from the IRB process according to IRB regulations (IRB No: 2016-1081). RESULTS Prevalence of DIP in 2009C2015 The total number of DIP cases was 859 in 2009 2009, and it increased to 1840 in 2015. Of the DIP patients recorded in 2015, offending drugs had been used by 1285 (69.83%). The remaining DIP patients may have taken an offending drug for fewer than 28 days over the course of 1 year before DIP diagnosis. Genetic differences may also have been a relevant factor, as a previous study reported that not all patients using dopamine receptor blocking agents experience Parkinsonism, suggesting that genetic factors may affect the occurrence of DIP.7 The annual prevalences of DIP, standardizing the population by age and sex to 2015 values, were 4.09 per 100000 in 2009 2009 and 7.02 in 2015. The prevalence of DIP was highest in 2015. The CAGR increased by 9.42%, which increasing development was statistically significant. Desk 1 displays the annual prevalence prices of Drop per 100000 people regarding to sex. The annual prevalence of Drop amongst females was 1.98 times greater than that among men. The CAGR elevated more in guys (8.68%) than in females (9.82%). Between 2009 and 2015, the prevalence was highest in people aged 70C79 years and was minimum in those aged 40C59 years. In the previous group, CAGRs had been 14.6 per 100000 people in ’09 2009 and 24.0 in 2015. Nevertheless, for the last mentioned group, these were 0.6 in ’09 2009 and 1.5 in 2015. The CAGR elevated in every generation (Fig. 1). Open up in another screen Fig. IL22RA2 1 Age-specific prevalence of Drop in Korea from 2009 to 2015. Drop, drug-induced parkinsonism. Desk 1 Prevalence of Drug-Induced Parkinsonism thead th valign=”middle” align=”still left” rowspan=”2″ colspan=”1″ design=”background-color:rgb(230,231,232)” /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”7″ design=”background-color:rgb(230,231,232)” Calendar year /th th valign=”middle” align=”middle” rowspan=”2″ colspan=”1″ design=”background-color:rgb(230,231,232)” Development price (CAGR) (%) /th th valign=”middle” align=”middle” rowspan=”2″ colspan=”1″ design=”background-color:rgb(230,231,232)” Cochran-Armitage /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2009 /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2010 /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2011 /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2012 /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2013 /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2014 /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” 2015 /th /thead Sufferers with Drop (n)85911321166143016161633184013.54 0.001Age group (n)?40C4955424666839212815.12 0.001?50C5910911013817920219422813.09 0.001?60C692573323223543813604228.620.001?70C7935751751464070471675013.17 0.001?808113114619124627131225.200.001The percentage of experiencing a prescription 25-hydroxy Cholesterol for an offending medication before DIP diagnosis75.3276.5074.8770.8471.4170.6169.84-1.250.188Crude prevalence (per 100000)3.794.844.845.776.356.267.0210.820.001Annual age- and sex-standardized prevalence* (per 100000)4.095.215.156.046.546.367.029.420.002Age-standardized prevalence by sex* (per 100000)?Man2.843.363.584.254.523.994.688.680.018?Feminine5.256.936.617.708.428.579.219.820.001 Open up in another window Drop, drug-induced parkinsonism; CAGR, substance annual growth price. *Standardized using the 2015 people. Usage of offending medications Offending medications used before Drop diagnosis Offending medications had been discovered by classifying Drop sufferers who were recommended an offending medication for at least 28 times during the period of 12 months before the index time (1285 people). The index time was thought as the time of the initial diagnosis of Drop. The offending medications that Drop sufferers had been most commonly recommended had been antiemetic and gastrointestinal motility realtors (68.40%), accompanied by atypical antipsychotics (38.21%) and typical antipsychotics (23.66%) (Desk 2). We after that investigated the use of causative medications among those that had been recommended an offending medication for at least 28 times. Desk 2 Usage of Offending Medications before and after Drop Medical diagnosis in 2015 thead th valign=”middle” align=”still left” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” Medication /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” Before Drop medical diagnosis* (%) /th th valign=”middle” align=”middle” rowspan=”1″ colspan=”1″ design=”background-color:rgb(230,231,232)” After Drop medical diagnosis? (%) /th /thead Usual antipsychoticsHaloperidol17.4315.38Pimozide0.080.12Amisulpride1.791.40Levomepromazine1.631.63Promazine5.455.24Sulpiride2.721.40Subtotal23.6621.10Ausual antipsychoticsRisperidone23.9725.17Olanzapine10.9712.94Aripiprazole10.9711.89Ziprasidone0.470.58Subtotal38.2145.34Dopamine depletersTetrabenazine0.160.47Calcium route antagonists (P-channel)Flunarizine7.783.96Calcium route antagonists (L-channel)Diltiazem5.146.29Verapamil0.780.82Subtotal5.766.99AntiepilepticValproate17.8222.03Antiemetic and gastric mobility agentsMetoclopramide19.9211.19Levosulpiride49.2624.71Clebopride3.891.86Itopride31.3625.64Subtotal68.4046.39Mood stabilizersLithium5.846.99AntiarrhythmicAmiodarone1.321.63ImmunosuppressantsCyclosporin1.400.82AntidepressantsFluoxetine5.214.20Sertraline6.156.64Moclobemide0.000.12Subtotal10.5110.49Total100.00 (n=1285)100.00 (n=858) Open up in another screen DIP, drug-induced parkinsonism. dIP *Before.The remaining DIP patients may took an offending medication for less than 28 times during the period of 12 months before DIP medical diagnosis. NC, USA) Ethics declaration It was difficult to recognize the sufferers because specific data had been anonymized in the KNHIC data source. As a result, the Institutional Review Plank (IRB) of Hallym School INFIRMARY exempted this research in the IRB process regarding to IRB rules (IRB No: 2016-1081). Outcomes Prevalence of Drop in 2009C2015 The full total variety of Drop situations was 859 in ’09 2009, and it risen to 1840 in 2015. From the Drop sufferers documented in 2015, offending medications had been utilized by 1285 (69.83%). The rest of the Drop sufferers may took an offending medication for less than 28 times during the period of 12 months before Drop diagnosis. Genetic distinctions may also are already a relevant aspect, being a 25-hydroxy Cholesterol prior research reported that not absolutely all sufferers using dopamine receptor preventing agents knowledge Parkinsonism, recommending that genetic elements may impact the event of DIP.7 The annual prevalences of DIP, standardizing the population by age and sex to 2015 values, were 4.09 per 100000 in 2009 2009 and 7.02 in 2015. The prevalence of DIP was highest in 2015. The CAGR improved by 9.42%, and this increasing pattern was statistically significant. Table 1 shows the annual prevalence rates of DIP per 100000 people relating to sex. The annual prevalence of DIP among females was 1.98 times higher than that among males. The CAGR improved more in males (8.68%) than in ladies (9.82%). Between 2009 and 2015, the prevalence was highest in individuals aged 70C79 years and was least expensive in those aged 40C59 years. In the former group, CAGRs were 14.6 per 100000 people in 2009 2009 and 24.0 in 2015. However, for the second option group, they were 0.6 in 2009 2009 and 1.5 in 2015. The CAGR improved in every age group (Fig. 1). Open in a separate windows Fig. 1 Age-specific prevalence of DIP in Korea from 2009 to 2015. DIP, drug-induced parkinsonism. Table 1 Prevalence of Drug-Induced Parkinsonism thead th valign=”middle” align=”remaining” rowspan=”2″ colspan=”1″ style=”background-color:rgb(230,231,232)” /th th valign=”middle” align=”center” rowspan=”1″ colspan=”7″ style=”background-color:rgb(230,231,232)” 12 months /th th valign=”middle” align=”center” rowspan=”2″ colspan=”1″ style=”background-color:rgb(230,231,232)” Growth rate (CAGR) (%) /th th valign=”middle” align=”center” rowspan=”2″ colspan=”1″ style=”background-color:rgb(230,231,232)” Cochran-Armitage /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2009 /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2010 /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2011 /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2012 /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2013 /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2014 /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” 2015 /th /thead Individuals with DIP (n)85911321166143016161633184013.54 0.001Age group (n)?40C4955424666839212815.12 0.001?50C5910911013817920219422813.09 0.001?60C692573323223543813604228.620.001?70C7935751751464070471675013.17 0.001?808113114619124627131225.200.001The percentage of having a prescription for an offending drug before DIP diagnosis75.3276.5074.8770.8471.4170.6169.84-1.250.188Crude prevalence (per 100000)3.794.844.845.776.356.267.0210.820.001Annual age- and sex-standardized prevalence* (per 100000)4.095.215.156.046.546.367.029.420.002Age-standardized prevalence by sex* (per 100000)?Male2.843.363.584.254.523.994.688.680.018?Woman5.256.936.617.708.428.579.219.820.001 Open in a separate window DIP, drug-induced parkinsonism; CAGR, compound annual growth rate. *Standardized using the 2015 populace. Utilization of offending medicines Offending medicines used before DIP diagnosis Offending medicines were recognized by classifying DIP individuals who were prescribed an offending drug for at least 28 days over the course of 1 year prior to the index day (1285 people). The index day was defined as the day of the 1st diagnosis of DIP. The offending medicines that DIP individuals were most commonly prescribed were antiemetic and gastrointestinal motility providers (68.40%), followed by atypical antipsychotics (38.21%) and typical antipsychotics (23.66%) (Table 2). We then investigated the utilization of causative medicines among those who had been prescribed an offending drug for at least 28 days. Table 2 Utilization of Offending Medicines before and after DIP Analysis in 2015 thead th valign=”middle” align=”remaining” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” Drug /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” Before DIP analysis* (%) /th th valign=”middle” align=”center” rowspan=”1″ colspan=”1″ style=”background-color:rgb(230,231,232)” After DIP analysis? (%) /th /thead Standard antipsychoticsHaloperidol17.4315.38Pimozide0.080.12Amisulpride1.791.40Levomepromazine1.631.63Promazine5.455.24Sulpiride2.721.40Subtotal23.6621.10Astandard antipsychoticsRisperidone23.9725.17Olanzapine10.9712.94Aripiprazole10.9711.89Ziprasidone0.470.58Subtotal38.2145.34Dopamine depletersTetrabenazine0.160.47Calcium channel antagonists (P-channel)Flunarizine7.783.96Calcium channel antagonists (L-channel)Diltiazem5.146.29Verapamil0.780.82Subtotal5.766.99AntiepilepticValproate17.8222.03Antiemetic and gastric mobility agentsMetoclopramide19.9211.19Levosulpiride49.2624.71Clebopride3.891.86Itopride31.3625.64Subtotal68.4046.39Mood stabilizersLithium5.846.99AntiarrhythmicAmiodarone1.321.63ImmunosuppressantsCyclosporin1.400.82AntidepressantsFluoxetine5.214.20Sertraline6.156.64Moclobemide0.000.12Subtotal10.5110.49Total100.00 (n=1285)100.00 (n=858) Open in a separate windows DIP, drug-induced parkinsonism. *Before DIP analysis (%): 1) Numerator: DIP sufferers who were recommended the offending medication. 2) Denominator: Drop sufferers who were approved an offending medication for at least 28 times during the period of 12 months before Drop diagnosis; ?After Drop diagnosis (%): 1) Numerator: Drop patients who had been prescribed the offending drug. 2) Denominator: Drop sufferers who were approved an offending medication for at least 28 times during the period of six months after Drop diagnosis. We determined the five most utilized offending medications frequently. In ’09 2009, the most frequent offending medication was levosulpiride (68.62%), accompanied by itopride (30.76%), risperidone (15.30%), metoclopramide (43.43%), and valproate (12.98%). In 2015, levosulpiride (49.26%) was even now the most.