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Obesity In Mexico
Wikipedia
According to a study published by Cambridge University Press, cost of treatment for obesity related diseases is projected to grow from an estimated $806 million in 2010 to $1.2 billion in 2030 and $1.7 billion in 2050. [17] Recent efforts have been made by the Mexican government to address the issue of obesity as a reduction of 1% in mean BMI would reduce the cost by $43 million in 2030 and $85 million in 2050 respectively. Through initiatives that focus on the narrative of a healthier lifestyle, the government aims to reduce the projected obesity prevalence.
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Shprintzen-Goldberg Syndrome
Gene_reviews
Comparison of Clinical Features of SGS, TGFBR1-/TGFBR2 -LDS, and MFS View in own window Clinical Feature SGS TGFBR1- / TGFBR2- LDS 1 MFS 2 DD ++ − − Ectopia lentis − − +++ Cleft palate / bifid uvula + ++ − Widely spaced eyes ++ ++ − Craniosynostosis +++ ++ − Tall stature + + +++ Arachnodactyly ++ ++ +++ Pectus deformity ++ ++ ++ Clubfoot ++ ++ − Osteoarthritis − + + Aortic root aneurysm + ++ +++ Arterial aneurysm + ++ − Arterial tortuosity Rare ++ − Early dissection − +++ + Bicuspid aortic valve − ++ − Mitral valve insufficiency + + ++ Striae − + ++ Dural ectasia + + + + = feature is present; ++ = feature is more commonly present; +++ = feature is most commonly present; − = feature is absent; DD = developmental delay; LDS = Loeys-Dietz syndrome; MFS = Marfan syndrome; SGS = Shprintzen-Goldberg syndrome 1. Approximately 75%-85% of Loeys-Dietz syndrome is attributed to pathogenic variants in TGFBR2 or TGFBR1 .SKI, FBN1, TBX1, DGCR, KIFBP, HIRA, COMT, CHD7, DGCR6, DGCR8, DGS2, DGCR2, CDC45, ZNF74, SLC25A1, TGFBR2, PRODH, TBX5, UFD1, HTC2, CRKL, DGCR5, FOXN1, SCZD12, MIR185, MIR132, NKX2-6, CPO, PRDM9, NAAA, APOL1, GNB1L, CELF2, SETBP1, CECR2, TCL6, ARSA, ZAP70, TGFBR1, CD27, CHRNA7, MAP3K8, CTNNB1, EDN1, ELN, EYA1, GATA3, IL2, LAMC1, SMAD2, SMAD4, MMP9, SEPTIN5, RAC2, RANBP1, RPS6KB2, SLC7A4, SULT1E1, BMP4, TBX3, CECR7
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- Erysipelas Wikipedia
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Liver Disease
Wikipedia
Viral hepatitides such as Hepatitis B virus and Hepatitis C virus can be vertically transmitted during birth via contact with infected blood. [34] [35] According to a 2012 NICE publication, "about 85% of hepatitis B infections in newborns become chronic". [36] In occult cases, Hepatitis B virus is present by HBV DNA , but testing for HBsAg is negative. [37] High consumption of alcohol can lead to several forms of liver disease including alcoholic hepatitis , alcoholic fatty liver disease , cirrhosis , and liver cancer . [38] In the earlier stages of alcoholic liver disease, fat builds up in the liver's cells due to increased creation of triglycerides and fatty acids and a decreased ability to break down fatty acids . [39] Progression of the disease can lead to liver inflammation from the excess fat in the liver .ABCB4, SERPINA1, AFP, GPT, TNF, GGT1, NR1H4, ATP7B, NPC1, CCL2, MMP9, HMOX1, NOS2, NFKB1, CCR2, MTHFR, SCO1, CSF3, HSPA1A, SORT1, SRSF5, TIMP3, NQO1, CRISPLD2, ALPL, HPGDS, COL3A1, CYP7B1, SC5D, IL1RAP, LTB4R, ENO3, MRPS23, TYROBP, CD86, TXN, CD3D, RNASE6, CCK, SOD1, IL1R2, DDAH1, TM4SF4, ACTA2, SOCS1, IL11, HK3, TREM1, IL9R, BCL2L1, INS, GNG8, GABRR2, CD79B, AHR, JUP, ALAD, CYP2E1, GRK5, NRP1, RAC1, TGM1, ALOX5AP, SOCS3, AMACR, ASAH2, ITGB6, SULT1E1, SERPINE1, CCR1, ST8SIA1, CYP1A2, LAT, FAS, TRMU, DPYD, MDM2, HLA-DOA, DNAJA2, FASLG, ARG1, TM6SF2, IFNA1, GOLM1, ALB, IL10, MIR122, PNPLA3, KRT18, SPP1, NFE2L2, HLA-DRB1, IL18, HAMP, FBL, ABCB11, IL6, IFNL3, HFE, IFNA13, TGFB1, SLC17A5, IL17A, UGT1A1, TP53, IFNG, HGF, TLR4, ADIPOQ, GGTLC4P, ATP8B1, GGTLC5P, GGT2, GGTLC3, FECH, GABPA, APOE, IL33, CXCL10, IL1B, PPIG, F2, KRT8, ALDH2, LOC102724197, GGTLC1, LEP, REN, RBM45, LGALS3BP, CCL4, CYP2B6, GCG, STAT4, FAH, IL22, PPARA, CFTR, ADH1C, CD14, MBL2, CDKN2A, ABCD1, XPR1, NLRP3, TIMP1, GPBAR1, HAVCR2, ADH1B, CXCL12, GOLPH3, CYP2C19, CHI3L1, TLR3, IGF1, CCR5, BCL2, TERT, CTNNB1, PTEN, CCN2, FGF21, VIPR1, ABCC2, IL2, IGFBP1, IL1RN, IL4, APLN, TNFRSF1B, CXCL8, TLR2, CP, IGF2, SIRT1, CD1D, CD40, EXT1, IL1A, MMRN1, IL37, IFNA2, GFER, AKT1, LIPA, ACTB, AKR1B10, IL21, PTGS2, GSTP1, PRKCSH, VDR, MTTP, GNMT, NAT10, GDF2, HLA-DQA1, ATHS, H3P10, VWF, VTN, MBOAT7, ANGPT1, SLPI, PDCD1, AKR1A1, MIR34A, HADHA, CCL27, ADAMTS13, ACE2, CX3CL1, PIK3CA, ALPP, PIK3CG, NOS3, PIK3CD, ASRGL1, PIK3CB, PF4, TNFRSF11B, VEGFA, LTA, MIR223, CYP3A4, THPO, CEACAM5, DGUOK, SERPINA3, FGF19, ACE, CYP7A1, PDLIM3, STAT3, CYP2D6, SMAD3, MAPK1, CST3, LGALS3, MAPK14, CR1, NR1I2, DDC, ESR1, PON1, SST, TMBIM4, ATRNL1, IL23A, PPARG, LBP, PTPN1, LCN2, POLDIP2, FST, RETN, POSTN, CD274, MPI, RDX, HLA-DPB1, RNF19A, PSG2, SLCO1B1, HLA-DRB3, LMNA, ABCB6, KRAS, PAEP, HNF4A, KDR, MGMT, LARS1, PRKAB1, TNFRSF12A, CXCL9, ATP6AP2, RIPK3, SLC25A13, COX2, RBP4, UGT1A7, PGF, HP, GDF15, PTPN2, MMP2, PKHD1, DEPDC5, SLC5A2, AHSA1, CCL5, REXO1L1P, CTLA4, RIPK1, HNF1B, STS, TAP2, CYP1A1, TAP1, CYP2A6, CYP2C9, TNFSF10, IL23R, TXNRD1, TAC1, DECR1, DLAT, APOC3, TFEB, DNASE1, DPP4, APOA1, MICOS13, UBE2B, EGF, MIR200A, ENG, HIF1A, PCSK9, UCP2, CRP, MIR192, TM7SF2, CASP1, TNFAIP6, CASP3, CD19, MIR146A, OPN1SW, BCHE, CDKN1A, MIR221, ATP6AP1, CEBPA, THBS1, CEACAM3, CEACAM7, CLU, TNFSF11, CCR6, HSD17B6, AIMP2, TERC, SERPINC1, BTBD8, CRK, SRY, ST2, MICA, GNAS, ERN1, MSC, ADH1A, GHR, SHBG, GPC3, PSC, IFNL4, CD163, GLI2, GLO1, MTCO2P12, GAPDH, SDC1, CXCL2, LOC110806263, ERVK-6, GSTM1, CXCL16, CXCL11, GRAP2, CCL21, CCL20, ABCG2, DCLK1, BPI, YY1, ANXA2, ANXA1, SOD2, FABP4, AGRP, LCS1, SMPD1, FLT1, F10, CXCR4, ARTN, WNT3A, ALDH1B1, COL18A1, ALDH1A1, AGT, F3, APEX1, FAT1, KMT2D, ST8SIA4, ABCC4, SLC7A5, ARHGEF5, PEMT, CPQ, C1orf61, TRIM22, TFPI2, XRCC1, PAK4, MERTK, CNBP, TFG, XRCC4, WARS2, ABCC3, SLC25A15, TAM, MGAM, SELENBP1, RAPGEF5, TM4SF5, PPP6R2, MRPL28, ISG15, AIP, RGN, PRDX6, HGS, APOBEC3B, IL32, H6PD, S1PR2, CCL4L2, CXCL14, CIR1, TBPL1, SLC9A3R1, FHL5, WASF1, TIMELESS, SQSTM1, IL18BP, KDM5D, WASF2, NR0B2, SOAT2, IKBKG, LGR5, NAMPT, KHSRP, LRPPRC, NR1H3, ARHGEF7, AOC3, BECN1, TNFSF13, NR1I3, TNFRSF10B, SLC23A1, GGH, SLC23A2, MFN2, NAT2, UGT1A6, IVNS1ABP, NLRP6, BHLHE23, CMPK2, REG3G, SLCO6A1, KLF14, TMEM199, IFNLR1, DDX53, BMPER, IMMP1L, EHMT1, MLKL, SPDYA, COPD, IFNL1, MIR7-3HG, STPG4, ATP11C, CELIAC2, HSD17B13, CLNK, CTHRC1, C1QTNF1, CYGB, CPEB4, PDCD1LG2, HM13, TRAPPC9, NBPF3, CCDC115, IL1F10, GPT2, PPP1R15B, KRT90P, TRIM5, GFM1, TSLP, DPP9, TMEM67, DNER, MUC16, SFXN1, IL17F, ACTBL2, ARSH, GSTK1, MIR25, MIR29A, MIR93, POTEKP, MIR338, MIR451A, DELYQ11, POTEM, MSMP, KRT8P3, ZGLP1, SYCE1L, MIR1224, LINC01672, KLRC4-KLRK1, MIR4717, ERVK-20, TP53COR1, ERVK-32, H3P9, MIR27A, MIR224, LRRC37A3, MIR22, ZNF699, SERPINA13P, CCL4L1, MIRLET7C, MIRLET7G, MIR101-2, MIR125A, MIR126, MIR136, MIR148A, MIR149, MIR155, MIR17, MIR18A, MIR191, MIR20A, MIR21, MIR212, MIR219A1, HSD3B7, LIN28A, IGF2BP1, SLC40A1, VPS33B, HAVCR1, NPHP3, SIGLEC7, GLS2, IL17B, ANGPTL3, SLCO1B3, NXT1, ERVW-1, MANEA, CD209, IL20, IL21R, NTM, ASCC1, SEPSECS, SBDS, DCTN4, ZDHHC2, KRT23, CHMP2B, BRD1, NUP62, KHDRBS1, CXCR6, TNFSF13B, FGL2, SUB1, CIT, PSIP1, RASSF1, SEC63, MAN1B1, ACOT7, NID2, KLRK1, PEG10, STAB1, GANAB, RPGRIP1L, POFUT1, SMUG1, CLEC1B, TLR7, CYP39A1, SPHK2, AICDA, BIRC6, CC2D2A, KLHL1, IGDCC4, ZNF410, RBPJP4, CIDEC, NOD2, XYLT2, CARD9, HIF3A, DCLRE1C, CPEB1, CDCP1, MPPE1, AHNAK, ADIPOR2, NEIL1, UGGT1, CFC1, ISYNA1, WDR11, SIRT6, NBAS, DNAJB11, CMPK1, TLR9, ANLN, CCHCR1, UGT1A10, UGT1A8, WT1, UGT1A5, UGT1A9, UGT1A4, UGT1A3, MARCHF5, DPP8, CHDH, IMPACT, RNPC3, XBP1, PTPRO, WNT2B, FUT1, FOXC1, FOXM1, FOXO3, FLNA, FMR1, FN1, MTOR, NR5A2, FUSE, FUT2, IL6ST, G6PC, GALT, GBE1, GC, GCK, GCKR, MSTN, GEM, GH1, FGFR3, FGF7, FGF2, FANCA, DSC3, DSPP, DUSP5, EDN1, EGFR, EGR1, EHHADH, ELN, EPAS1, EPHB2, EPHX1, ERBB4, ESR2, ETV3, EZH2, F5, F8, F9, FABP3, GIP, GJB2, GCLM, HMGB3, FOXA2, FOXA3, ONECUT1, HOXD13, HRC, HSD11B1, HSPA1B, HSPA4, HSPB1, HSPG2, HTR2A, ICAM1, IFNAR2, IGF2R, IGFBP2, IGFBP3, IGFBP6, CCN1, IKBKB, HMGCS2, HMGB1, GLP1R, HMBS, CXCR3, GRB2, GRN, CXCL1, GSPT1, GSTA1, GTF2H1, GUSB, HADH, HARS1, HAS1, HAS3, SERPIND1, HCLS1, HDAC1, CFH, HGFAC, HLA-A, HLA-DRB4, ATN1, SLC26A3, DOK1, ANPEP, XIAP, BIRC5, APLP2, APOB, AQP6, ABCC6, AREG, ASS1, ATD, RERE, ATP12A, ATP4A, AVP, BAGE, BCS1L, CEACAM1, BMP2, BMP4, BMP8B, AIRE, ANGPT2, BUB1, AMBP, ACACA, ACADM, ACADVL, ACHE, ACTG1, ACTG2, ACVRL1, ADAM8, ADAM10, ADAR, ADCYAP1, PLIN2, ADH5, AFM, AGER, JAG1, AGTR1, ALAS2, AKR1B1, BRCA2, SERPING1, DMRT1, COMT, CLDN3, CPOX, CREB1, CREBBP, CRYGD, CSF2, CSF3R, SLC25A10, CTSL, CTSS, CTSZ, CUX1, CYP1B1, CYP17A1, CYP51A1, DCX, AKR1C1, DDX3X, DMBT1, COX8A, COL1A2, VPS51, CNR2, CALR, CASP2, RUNX3, CD34, CD36, CD40LG, CD68, CD151, CDA, CDC25A, CDK4, CDKN2B, CDO1, CDSN, CES1, CFL1, CHUK, CLTC, CNR1, IL2RB, IL7R, WARS1, CCL22, ROS1, S100A4, S100A9, S100B, SERPINB3, SERPINB4, SCN2A, CCL17, CCL19, SELE, IL10RB, SELP, SELENOP, SRSF4, SI, ST6GAL1, ST3GAL4, SKIV2L, SLC2A1, SLC3A2, RORA, ABCE1, RNASE1, RIT2, SEPTIN4, POLG, PPARD, PRF1, PRKAA1, PRKAA2, PRKACA, PRKCZ, MAPK3, MAPK8, MASP1, RELN, PTPN6, PTPN11, PVR, RAD51, RARRES2, RENBP, REST, SLC4A1, SLC4A2, SLC10A1, TGFBR1, TIMP2, TKT, TLE1, TLL1, TLR5, TMSB4X, TNFAIP3, TNFRSF1A, TPMT, TPO, TRPC5, TYRP1, SLC35A2, UGT1A, UGT2B7, UMOD, UROD, VCAM1, VIP, THAS, TGFB2, SOX9, TEP1, SPINK1, SPINT1, SPRR2A, SPTBN1, SRD5A2, AKR1D1, SREBF2, STAT5A, STAT5B, SULT2A1, SYK, ADAM17, TALDO1, TBX1, TCF3, TCF7L2, ZEB1, TEAD1, TMBIM6, PMM2, PLA2G5, PKM, LIG4, CYP4F3, LTBP3, BCAM, SH2D1A, LYZ, EPCAM, SMAD7, MAGEA3, MAT2A, MDM4, MAP3K5, MET, MFGE8, MIA2, ATXN3, MLH1, NR3C2, MMP1, MMP3, LTB, LGALS9, MMP10, LEPR, IL13, IL15, IMPA1, IDO1, INSR, ITGA6, IRF6, IRF7, ISG20, ITPA, ITPR3, JAK2, JUN, KCNJ5, KIR3DL1, KNG1, KIF22, LCAT, LDLR, MMP7, MMP13, PKD1, NTS, OAS1, OAS2, OGG1, OLR1, OPRM1, OSM, OTC, PAH, PAK2, PAK3, PDGFRA, PDGFRB, ENPP2, SERPINF1, PEX1, ABCB1, PHB, PHKG2, PIM1, NUP88, YBX1, MOS, SLC11A2, MPL, ABCC1, MSH3, MT1B, MTAP, MUC2, MUC4, MVK, MYC, MYD88, MYO5B, NAGA, NCAM1, NGF, NGFR, NHS, NM, NOS1, CCN3, H3P40
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Bruxism
Wikipedia
Awake bruxism is thought to be usually semivoluntary, and often associated with stress caused by family responsibilities or work pressures. [5] Some suggest that in children, bruxism may occasionally represent a response to earache or teething. [20] Awake bruxism usually involves clenching [5] (sometimes the term "awake clenching" is used instead of awake bruxism), [21] but also possibly grinding, [4] and is often associated with other semivoluntary oral habits such as cheek biting, nail biting , chewing on a pen or pencil absent mindedly, or tongue thrusting (where the tongue is pushed against the front teeth forcefully). [4] There is evidence that sleep bruxism is caused by mechanisms related to the central nervous system , involving sleep arousal and neurotransmitter abnormalities. [1] Underlying these factors may be psychosocial factors including daytime stress which is disrupting peaceful sleep. [1] Sleep bruxism is mainly characterized by "rhythmic masticatory muscle activity" (RMMA) at a frequency of about once per second, and also with occasional tooth grinding. [22] It has been shown that the majority (86%) of sleep bruxism episodes occur during periods of sleep arousal. [22] One study reported that sleep arousals which were experimentally induced with sensory stimulation in sleeping bruxists triggered episodes of sleep bruxism. [23] Sleep arousals are a sudden change in the depth of the sleep stage, and may also be accompanied by increased heart rate, respiratory changes and muscular activity, such as leg movements. [5] Initial reports have suggested that episodes of sleep bruxism may be accompanied by gastroesophageal reflux, decreased esophageal pH (acidity), swallowing, [23] and decreased salivary flow. [10] Another report suggested a link between episodes of sleep bruxism and a supine sleeping position (lying face up). [23] Disturbance of the dopaminergic system in the central nervous system has also been suggested to be involved in the etiology of bruxism. [10] Evidence for this comes from observations of the modifying effect of medications which alter dopamine release on bruxing activity, such as levodopa, amphetamines or nicotine. ... Clenching (or clamping), on the other hand, involves inaudible, sustained, forceful tooth contact unaccompanied by mandibular movements. [39] "A movement disorder of the masticatory system characterized by teeth-grinding and clenching during sleep as well as wakefulness." [1] "Non-functional contact of the mandibular and maxillary teeth resulting in clenching or tooth grinding due to repetitive, unconscious contraction of the masseter and temporalis muscles." [31] "Parafunctional grinding of teeth or an oral habit consisting of involuntary rhythmic or spasmodic non-functional gnashing, grinding or clenching of teeth in other than chewing movements of the mandible which may lead to occlusal trauma." [5] "Periodic repetitive clenching or rhythmic forceful grinding of the teeth." [4] [40] Classification by temporal pattern [ edit ] Comparison of typical features of sleep bruxism and awake bruxism. [2] [5] [10] Sleep bruxism Awake bruxism Occurrence While asleep, mostly during periods of sleep arousal While awake Time–intensity relationship Pain worst on waking, then slowly gets better Pain worsens throughout the day, may not be present on waking Noises Commonly associated Rarely associated Activity Clenching and grinding Usually clenching, occasionally clenching and grinding Relationship with stress Unclear, little evidence of a relationship Stronger evidence for a relationship, but not conclusive Prevalence (general population) 9.7–15.9% 22.1–31% Gender distribution Equal gender distribution Mostly females Heritability Some evidence Unclear Bruxism can be subdivided into two types based upon when the parafunctional activity occurs – during sleep ("sleep bruxism"), or while awake ("awake bruxism"). [10] This is the most widely used classification since sleep bruxism generally has different causes to awake bruxism, although the effects on the condition on the teeth may be the same. [27] The treatment is also often dependent upon whether the bruxism happens during sleep or while awake, e.g., an occlusal splint worn during sleep in a person who only bruxes when awake will probably have no benefit. [4] Some have even suggested that sleep bruxism is an entirely different disorder and is not associated with awake bruxism. [10] Awake bruxism is sometimes abbreviated to AB, [5] and is also termed "diurnal bruxism", [5] DB, or "daytime bruxing". ... E.g. several studies use self-reported bruxism as a measure of bruxism, and since many people with bruxism are not aware of their habit, self-reported tooth grinding and clenching habits may be a poor measure of the true prevalence. [5] The ICSD-R states that 85–90% of the general population grind their teeth to a degree at some point during their life, although only 5% will develop a clinical condition. [27] Some studies have reported that awake bruxism affects females more commonly than males, [5] while in sleep bruxism, males and females are affected equally. [27] [26] Children are reported to brux as commonly as adults. ... Behavioral approaches in research declined from over 60% of publications in the period 1966–86 to about 10% in the period 1997–2007. [6] In the 1960s, a periodontist named Sigurd Peder Ramfjord championed the theory that occlusal factors were responsible for bruxism. [57] Generations of dentists were educated by this ideology in the prominent textbook on occlusion of the time, however therapy centered around removal of occlusal interference remained unsatisfactory.
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Indoor Mold
Wikipedia
Mold grows best in warm temperatures, 77 to 86 °F (25 to 30 °C), although growth may occur between 32 and 95 °F (0 and 35 °C). [ citation needed ] Removing one of the three requirements for mold reduces (or eliminates) new mold growth: moisture; food for the mold spores (for example, dust or dander ); and warmth since mold generally does not grow in cold environments.
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Abortion In Russia
Wikipedia
Cahiers du Monde Russe et Soviétique . 33 : 59–81. doi : 10.3406/cmr.1992.2306 . PMID 7691465 . ^ Randall, Amy (2011). " ' Abortion Will Deprive You of Happiness!'
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Sialadenitis
Wikipedia
If there are attacks more than approximately 3 times per year or severe attacks, surgical excision of the affected gland should be considered. [12] Epidemiology [ edit ] Sialadenitis of the parotid gland accounts for a much larger percentage of hospital admissions than sialadenitis of the submandibular gland. [6] Submandibular sialadenitis has been said to only account for 10% of all cases diagnosed as sialadenitis. [6] Chronic sialadenitis has been classified as a relatively common presentation, whereas bacterial sialadenitis and sclerosing polycystic sialadenitis are defined as rare. [11] Chronic sclerosing sialadenitis has been shown to affect predominantly males who are over the age of 50, with 40% of cases having an allergic disease, such as chronic sinusitis or bronchial asthma . [11] One study found that 112 patients from England and Wales ranging from 12 to 81 years of age complained of symptoms from their diagnosed sialadenitis, with the group having a mean age of 39 and a standard deviation of 16 years. [4] The study also found that more patients underwent surgery to treat their sialadenitis between the ages of 20 and 69 years but that there were many more patients who complained of symptoms between the ages of 20 and 49, and then went on to be diagnosed with sialadenitis. [4] In each group studied, most patients suffered from sialadenitis in their twenties but there was also found to be a significant number of females whose symptoms started in their thirties and forties. [4] More women reported symptoms that were confirmed to be sialadenitis than men in this study, which may suggest that females are more likely to be affected but more research would need to be done to be sure of this. [4] A study done on the epidemiology of sialadenitis in the United States of America found that acute suppurative parotitis is responsible for 0.01-0.02% of hospital admissions, with the submandibular gland accounting for 10% of cases of sialadenitis in the major salivary glands in this population. [1] This study found that there was no predilection to any race, sex or age, although it was noted that sialadenitis in general tended to occur in people who are debilitated, dehydrated or older. [1] Bacterial sialadenitis is uncommon nowadays and is usually associated with sialoliths . [13] A study involving hospitals in the United Kingdom found that the incidence of admissions for sialadenitis is 27.5 per million of the population, with the most common cause being mumps which causes a viral infection in the salivary gland. [13] Ascending acute bacterial parotitis used to be a common perimortal event but today this is no longer the case due to antibiotics and basic modern care which means that patients will be much less likely to become dehydrated. [13] See also [ edit ] Sialoendoscopy References [ edit ] ^ a b c d e Yoskovitch, Adi (7 August 2018).
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Sexual Fetishism
Wikipedia
Behaviour Research and Therapy . 34 (9): 687–694. doi : 10.1016/0005-7967(96)00047-2 . PMID 8936751 . CS1 maint: multiple names: authors list ( link ) ^ Raymond, M.
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Sweating Sickness
Wikipedia
"The English sweating sickness, 1485–1551: A viral pulmonary disease?" . Medical History . 42 (1): 96–98. doi : 10.1017/S0025727300063365 . ... External links [ edit ] Sweating Fever Jim Leavesley commemorates the 500th anniversary of the first outbreak – transcript of talk on Ockham's Razor , ABC Radio National "The Sweating Sickness Returns" , Discover Magazine , 1 June 1997 Classification D ICD - 9-CM : 078.2 MeSH : D018614 v t e Infectious diseases – viral systemic diseases Oncovirus DNA virus HBV Hepatocellular carcinoma HPV Cervical cancer Anal cancer Penile cancer Vulvar cancer Vaginal cancer Oropharyngeal cancer KSHV Kaposi's sarcoma EBV Nasopharyngeal carcinoma Burkitt's lymphoma Hodgkin lymphoma Follicular dendritic cell sarcoma Extranodal NK/T-cell lymphoma, nasal type MCPyV Merkel-cell carcinoma RNA virus HCV Hepatocellular carcinoma Splenic marginal zone lymphoma HTLV-I Adult T-cell leukemia/lymphoma Immune disorders HIV AIDS Central nervous system Encephalitis / meningitis DNA virus Human polyomavirus 2 Progressive multifocal leukoencephalopathy RNA virus MeV Subacute sclerosing panencephalitis LCV Lymphocytic choriomeningitis Arbovirus encephalitis Orthomyxoviridae (probable) Encephalitis lethargica RV Rabies Chandipura vesiculovirus Herpesviral meningitis Ramsay Hunt syndrome type 2 Myelitis Poliovirus Poliomyelitis Post-polio syndrome HTLV-I Tropical spastic paraparesis Eye Cytomegalovirus Cytomegalovirus retinitis HSV Herpes of the eye Cardiovascular CBV Pericarditis Myocarditis Respiratory system / acute viral nasopharyngitis / viral pneumonia DNA virus Epstein–Barr virus EBV infection / Infectious mononucleosis Cytomegalovirus RNA virus IV : Human coronavirus 229E / NL63 / HKU1 / OC43 Common cold MERS coronavirus Middle East respiratory syndrome SARS coronavirus Severe acute respiratory syndrome SARS coronavirus 2 Coronavirus disease 2019 V , Orthomyxoviridae : Influenza virus A / B / C / D Influenza / Avian influenza V, Paramyxoviridae : Human parainfluenza viruses Parainfluenza Human orthopneumovirus hMPV Human digestive system Pharynx / Esophagus MuV Mumps Cytomegalovirus Cytomegalovirus esophagitis Gastroenteritis / diarrhea DNA virus Adenovirus Adenovirus infection RNA virus Rotavirus Norovirus Astrovirus Coronavirus Hepatitis DNA virus HBV ( B ) RNA virus CBV HAV ( A ) HCV ( C ) HDV ( D ) HEV ( E ) HGV ( G ) Pancreatitis CBV Urogenital BK virus MuV Mumps v t e Pandemics , epidemics and notable disease outbreaks List of epidemics Local Ancient Hittite plague ( c. 1320–1300 BC) Plague of Athens (429–426 BC) Antonine Plague (165–180 AD) Plague of Cyprian (250–266) Post-classical First plague pandemic (541–767) Plague of Justinian (541–542) Roman Plague (590) Plague of Sheroe (627–628) Plague of Amwas (638–639) Plague of 664 (664–689) Japanese smallpox (735–737) Black Death (1347–1351) Sweating sickness (1485–1551) Early modern 16th century Influenza pandemic (1510) Mexican smallpox (1520) Influenza pandemic (1557–1559) London plague (1563–1564) Maltese plague (1592–1593) London plague (1592–1593) 17th century Maltese plague (1623) Italian plague (1629–1631) Massachusetts smallpox (1633) Great Plague of Seville (1647–1652) Maltese plague (1655) Naples Plague (1656) Great Plague of London (1665–1666) Maltese plague (1675–1676) Great Plague of Vienna (1679) 18th century Great Northern War plague (1710–1712) Great Plague of Marseille (1720–1722) Great Plague of 1738 (1738) Russian plague (1770–1772) Persian Plague (1772) North American smallpox (1780–1782) Philadelphia yellow fever (1793–1798) Modern 19th century Ottoman plague (1812–1819) Maltese plague (1813–1814) Caragea's plague (1813) Groningen epidemic (1829) Great Plains smallpox (1837–1838) Typhus (1847–1848) Copenhagen cholera (1853) Stockholm cholera (1853) Broad Street cholera (1854) Buenos Aires yellow fever (1871) 20th century San Francisco plague (1900–1904) Manchurian plague (1910–1911) LA pneumonic plague (1924) Croydon typhoid (1937) NYC smallpox (1947) Yugoslav smallpox (1972) London flu (1972–1973) Indian smallpox (1974) Surat plague (1994) Malaysian Nipah virus (1998–1999) 21st century Singaporean dengue (2005) Indian dengue (2006) Chikungunya outbreaks (2006) Pakistani dengue (2006) Iraqi cholera (2007) Zimbabwean cholera (2008–2009) Bolivian dengue (2009) Gujarat hepatitis (2009) Western African meningitis (2009–2010) Haiti cholera (2010–2019) Pakistani dengue (2011) Darfur yellow fever (2012) Swansea measles (2013) Western African Ebola (2013–2016) DR Congo Ebola (2014) Madagascar plague (2014) Odisha jaundice (2014) Polio declaration (2014) Indian swine flu (2015) South Korean MERS (2015) Angolan yellow fever (2016) Yemeni cholera (2016–present) Gorakhpur Japanese encephalitis (2017) Saudi Arabian MERS (2018) Kerala Nipah virus (2018) Équateur province Ebola (2018) Kivu Ebola (2018–2020) Madagascar measles (2018) Samoa measles (2019–present) Philippine measles (2019–present) Pacific NW measles (2019) New York measles (2019) Kuala Koh measles (2019) Tonga measles (2019) DRC measles (2019–2020) New Zealand measles (2019–present) Global Influenza pandemic (1510) Influenza pandemic (1557–1559) Second plague pandemic (1348–19th century) First cholera pandemic (1816–1826) Second cholera pandemic (1829–1851) Third cholera pandemic (1852–1860) Third plague pandemic (1855–1960) Fourth cholera pandemic (1863–1879) Fifth cholera pandemic (1881–1896) 1889 flu (1889–1890) Sixth cholera pandemic (1899–1923) Spanish flu (1918–1920) Asian flu (1957–1958) Seventh cholera pandemic (1961–1975) Hong Kong flu (1968–1970) HIV/AIDS (1981–present) SARS (2002–2004) Bird flu (2003–2005) Mumps (2009) Madagascar plague (2008–2017) Swine flu (2009–2010) MERS (2012–present) Chikungunya (2013–2014) Zika (2015–2016) COVID-19 (2019–present)
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Pla2g6-Associated Neurodegeneration
Gene_reviews
Molecular Genetic Testing Used in PLA2G6 -Associated Neurodegeneration View in own window Gene 1 Method Proportion of Probands with Pathogenic Variants 2 Detectable by Method PLA2G6 Sequence analysis 3 ~85% 4 Gene-targeted deletion/duplication analysis 5 ≤12.5% 6 Unknown 7 NA 1.
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Virtual Reality Sickness
Wikipedia
"The effects of asynchronous visual delays on simulator flight performance and the development of simulator sickness symptomatology (NAVTRASYSCEN 85-D-0026-1)". Orlando, FL: Naval Training Systems Center.
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Speech And Language Impairment
Wikipedia
These sorts of exercises would include blowing, tongue push-ups, pucker-smile, tongue wags, big smile, tongue-to-nose-to-chin, cheek puffing, blowing kisses, and tongue curling, among others. Lof continues, indicating that 85% of SLPs are currently using NS-OME. ... Approximately 61% of speech-language pathologists in schools indicated that they served individuals with SLI Almost 91% of SLPs in schools indicated that they servedindividuals with phonological/articulation disorder Estimates for language difficulty in preschool children range from 2% to 19%. ... "Childhood speech apraxia in focus: theoretical perspectives and present tendencies" . Pro Fono . 21 (1): 76–80. doi : 10.1590/S0104-56872009000100013 .
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Abortion In Francoist Spain And The Transition Period
Wikipedia
This was coupled with a law that required women to have two doctors sign off on the procedure before abortions could be performed. [6] Women from Gibraltar and Andorra would eventually come to Spain for abortions, as the procedure remained illegal and punishable with prison terms well into the 2000s. [32] [33] Statistics [ edit ] Total abortions among Spanish women that took place in Spain, England and Wales, and the Netherlands 1974-1995 Spain England and Wales The Netherlands Total ref Years Number of abortions Rate per 1000 reproductive aged women Number Rate Number Rate Number Rate 1974 - - 2,978 0.4 - - 2,978 0.4 [18] 1975 - - 4393 0.59 - - 4393 0.59 [18] 1976 - - 6397 0.85 - - 6397 0.85 [18] 1977 - - 10,187 1.35 - - 10,187 135 [18] 1978 - - 14,015 1.85 - - 14,015 1.85 [18] 1979 - - 17,061 2.23 - - 17,061 2.23 [18] 1980 - - 18342 238 2,000 0.26 20342 2.64 [18] 1981 _ - 20,454 2.65 4,000 0.52 24,454 3.17 [18] 1982 - - 21,415 2.75 4300 0.55 25,715 3.31 [18] 1983 - - 22,002 2.8 5,800 0.74 27,802 3.55 [18] 1984 - - 20,060 2.54 7,300 0.93 27360 3.47 [18] 1985 - - 17,688 2.22 6,344 0.8 24,032 3.02 [18] 1986 - - 11,935 1.44 4,581 0.55 16,516 1.99 [18] 1987 16,766 1.99 5,878 0.7 2,524 0.3 25,168 2.99 [18] 1988 26,069 3.07 3,188 37 1,406 0.17 30,663 3.61 [18] 1989 30,552 3.56 1,332 0.15 572 0.07 32,456 3.77 [18] 1990 37,231 4.3 886 0.1 313 0.04 38,430 4.43 [18] 1991 41,910 4.79 604 0.07 229 0.03 42,743 4.88 [18] 1992 44,962 5.11 464 0.05 134 0.02 45360 5.17 [18] 1993 45305 5.13 317 0.04 47 0.01 45,869 5.18 [18] 1994 47,832 537 127 0.01 30 0 47,989 5.39 [18] 1995 49,387 5.53 86 0.01 242 0.03 49,715 5.56 [18] total 340,214 - 199,809 - 39,822 - 579,845 - [18] References [ edit ] ^ a b c d e f g h i j k l m Herranz, Inmaculada Blasco (1999). ... Reproductive Health Matters . 15 (29): 85–96. doi : 10.1016/S0968-8080(07)29295-X . ... Retrieved 2019-04-05 . ^ Sentencia Numero 97 de 1946. Audiencia Provincial de Zaragoza.
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Dual Diagnosis
Wikipedia
"Neuroleptic-induced supersensitivity psychosis in patients with bipolar affective disorder". Acta Psychiatrica Scandinavica . 81 (5): 437–440. doi : 10.1111/j.1600-0447.1990.tb05477.x .
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Cannabis Use Disorder
Wikipedia
Pharmacology, Biochemistry, and Behavior . 81 (2): 300–18. doi : 10.1016/j.pbb.2005.01.028 . ... International Review of Psychiatry (Review). 21 (2): 96–103. doi : 10.1080/09540260902782745 . ... PMID 29556883 . ^ a b c d e f g h i j k l m n o p q r s t u v w x y z aa ab ac ad Brezing CA, Levin FR (January 2018). ... United States (2001) ADPF 187 (2011) Related Impact of the COVID-19 pandemic on the cannabis industry Cannabis portal Category v t e Psychoactive substance-related disorder General SID Substance intoxication / Drug overdose Substance-induced psychosis Withdrawal : Craving Neonatal withdrawal Post-acute-withdrawal syndrome (PAWS) SUD Substance abuse / Substance-related disorders Physical dependence / Psychological dependence / Substance dependence Combined substance use SUD Polysubstance dependence SID Combined drug intoxication (CDI) Alcohol SID Cardiovascular diseases Alcoholic cardiomyopathy Alcohol flush reaction (AFR) Gastrointestinal diseases Alcoholic liver disease (ALD): Alcoholic hepatitis Auto-brewery syndrome (ABS) Endocrine diseases Alcoholic ketoacidosis (AKA) Nervous system diseases Alcohol-related dementia (ARD) Alcohol intoxication Hangover Neurological disorders Alcoholic hallucinosis Alcoholic polyneuropathy Alcohol-related brain damage Alcohol withdrawal syndrome (AWS): Alcoholic hallucinosis Delirium tremens (DTs) Fetal alcohol spectrum disorder (FASD) Fetal alcohol syndrome (FAS) Korsakoff syndrome Positional alcohol nystagmus (PAN) Wernicke–Korsakoff syndrome (WKS, Korsakoff psychosis) Wernicke encephalopathy (WE) Respiratory tract diseases Alcohol-induced respiratory reactions Alcoholic lung disease SUD Alcoholism (alcohol use disorder (AUD)) Binge drinking Caffeine SID Caffeine-induced anxiety disorder Caffeine-induced sleep disorder Caffeinism SUD Caffeine dependence Cannabis SID Cannabis arteritis Cannabinoid hyperemesis syndrome (CHS) SUD Amotivational syndrome Cannabis use disorder (CUD) Synthetic cannabinoid use disorder Cocaine SID Cocaine intoxication Prenatal cocaine exposure (PCE) SUD Cocaine dependence Hallucinogen SID Acute intoxication from hallucinogens (bad trip) Hallucinogen persisting perception disorder (HPPD) Nicotine SID Nicotine poisoning Nicotine withdrawal SUD Nicotine dependence Opioids SID Opioid overdose SUD Opioid use disorder (OUD) Sedative / hypnotic SID Kindling (sedative–hypnotic withdrawal) benzodiazepine : SID Benzodiazepine overdose Benzodiazepine withdrawal SUD Benzodiazepine use disorder (BUD) Benzodiazepine dependence barbiturate : SID Barbiturate overdose SUD Barbiturate dependence Stimulants SID Stimulant psychosis amphetamine : SUD Amphetamine dependence Volatile solvent SID Sudden sniffing death syndrome (SSDS) Toluene toxicity SUD Inhalant abuse
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Ectodermal Dysplasia 1, Hypohidrotic, X-Linked
Omim
They estimated that mothers of affected males showed 66% penetrance, daughters of carriers showed 81% penetrance, and daughters of affected males showed 49% penetrance.
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Interstitial Cystitis
Wikipedia
Neurourology and Urodynamics . 29 (1): 77–81. doi : 10.1002/nau.20817 . PMC 2805190 . ... PMID 21613956 . S2CID 23867038 . ^ a b Bharucha, AE; Trabuco, E (2008). "Functional and Chronic Anorectal and Pelvic Pain Disorders" . Gastroenterology Clinics of North America . 37 (3): 685–96. doi : 10.1016/j.gtc.2008.06.002 . ... "Die Komplexität chronischer Beckenschmerzen am Beispiel der Interstitiellen Zystitis". Aktuelle Urologie . 39 (4): 289–97. doi : 10.1055/s-2008-1038199 . PMID 18663671 . ^ Hsieh, Ching-Hung; Chang, Shao-Tung; Hsieh, Chia-Jung; Hsu, Chun-Sen; Kuo, Tsung-Cheng; Chang, Hui-Chin; Lin, Yi-Hui (2008). ... "Suicidal ideation among patients with bladder pain syndrome/interstitial cystitis" . Urology . 80 (2): 280–285. doi : 10.1016/j.urology.2011.12.053 .CXCL10, CXCL11, CXCL9, NOS2, CSF2, NGF, UPK3A, VEGFA, IL6, TNF, TP53, FZD8, IL4, EGF, TAC1, CLDN2, IL32, SELENBP1, NRP1, NRP2, TNFSF14, MKNK1, URI1, PSMG1, PLA2G6, YWHAZ, WNT11, VIM, UMOD, TYRP1, TRPM2, TNFAIP6, MSC, ASIC1, TBPL1, DLL4, MIR320E, MIR320A, MIR214, MIR139, MIR132, FFAR4, BTBD8, PLB1, PRRT2, IL33, UBE3B, MAP1LC3A, SLC12A9, CCHCR1, SMARCC2, SMOX, KRT20, TRPV2, TLR7, MZB1, MDFIC, CD274, TPSD1, MGLL, UPK1A, P3H4, IKZF1, OPTN, MFN2, SCN9A, SNAI2, SHBG, CXCR3, FGF10, ESR2, ELAVL3, ELAVL2, DUSP2, HBEGF, DPP4, DCN, CTNNB1, CRH, KLF6, CDKN3, CDKN1A, MS4A1, CAMP, CXCR5, BCL2, CCND1, AOAH, AKT1, ADRB3, ADRB2, ADRA1D, ADCYAP1R1, LPAR4, CXCL1, GSK3B, PIK3CB, CCL22, ADCYAP1, PTGS2, MAPK8, PPARG, POMC, POLR2E, PLA2G2A, PLA2G1B, PIK3CG, PIK3CD, PIK3CA, IFNG, PECAM1, SERPINB2, NPPB, NAP1L1, COX2, MIF, KCNQ1, INPP5D, CXCL8, IL4R, IL1B, MTCO2P12