COVID19

Coronavirus Infection

Pregnancy Disease

Severe Acute Respiratory Syndrome

Instituto Materno Infantil Prof. Fernando Figueira

Northeast COVID-19 and Pregnancy Study Group

Clinical and Laboratory Predictors of COVID-19 Progression and Maternal and Perinatal Outcomes in Infected Pregnant and Postpartum Women in Six Reference Centers in the Northeast of Brazil

Refers to a woman who almost died, but survived a serious complication that occurred during pregnancy, childbirth or within 42 days after termination of the pregnancy, depending on the presence of at least one of the criteria adopted by the World Health Organization ( WHO). Variable, categorical and dichotomous yes / no type.

It is the death of a woman during pregnancy or within 42 days after the end of the pregnancy or due to measures taken in relation to the pregnancy, but not due to accidental or incidental causes. Variable, categorical and dichotomous yes / no type.

It refers to the newborn classified with severe morbidity by pragmatic criteria (Apgar <7 in the 5th minute, birth weight <1,750 grams or gestational age <33 weeks) or conduct (parenteral antibiotic therapy - up to 7 days and before the 28th day of life, nasal CPAP, intubation, up to 7 days and before the 28th day of life, phototherapy within 24 hours of life, cardiopulmonary resuscitation, use of vasoactive drugs, use of anticonvulsants, use of blood products, use of corticosteroids to treat refractory hypoglycemia and surgery) but who survived the 27th day of life, included. Yes / no categorical and dichotomous variable.

Death occurred in the first 27 days, included, after delivery. Yes / no categorical and dichotomous variable.

Death occurred in the first 7 days of life. Yes / no dichotomous categorical variable

Intrauterine death, corresponding to the birth of a fetus without signs of life, weighing 500 grams or more. Dichotomous categorical variable of the yes / no type.

Corresponds to cases of fetal death added to those of early neonatal death. Dichotomous categorical variable of the yes / no type.

Calculated based on the date of birth recorded in the medical record, hospital identification data, or according to the patient's information, in full years. Numerical and discrete variable.

maternal weight before pregnancy, in kilogram (kg), according to information collected from the patient and / or made available on the prenatal card or medical record. Numeric and continuous variable.

expressed, in meters, according to information collected from the patient and / or made available on the prenatal card or medical record. Numeric and continuous variable.

classified according to pre-gestational BMI: low weight grade III (≤ 16.00), low weight grade II (≥ 16.00 to <16.99), low weight grade I (≥ 17 , 00 to <18.49), ideal weight (≥ 18.50 to <24.99), overweight (≥ 25.00 to <29.99), grade I obesity (≥ 30.00 to <34.99) , grade II obesity (≥35.00 to <39.99) and grade III obesity (≥ 40.00).

expressed in Kg / m2, calculated by weight (kg) divided by height (m) squared. Numeric and continuous variable.

according to the patient's self-declaration and collected according to information and / or recorded in the medical record or prenatal card in black, white, brown, yellow and indigenous.

defined as the number of people, regardless of age, living in the same household, collected according to the patient's information. Numerical and discrete variable.

collected according to the patient's information as the sum of the monthly income of all members living in the household, including benefits from social programs and informal income. Categorized in: up to 1 minimum wage; 1 to 2 minimum wages; 3 to 5 minimum wages; more than 5 minimum wages. Numerical and discrete variable.

as informed by the patient, recorded in medical records or prenatal card and categorized as illiterate (zero), elementary school (one to nine years), high school (10 to 12 years) and higher education (> 12 years) ). Numerical and discrete variable.

as declared by the patient and noted on the medical record or prenatal card, later categorized as: health, education, general services, home, domestic, student, merchant or commerce, security, self-employed, economy, tourism, music, nutrition, computers, journalism, engineering and others.

as declared by the patient, as being a formal job or not, which presents any monthly financial income. Yes / no categorical and dichotomous variable.

declared by the patient and recorded in medical records or prenatal card in: single, married, stable, separated and widowed.

as informed by the patient and recorded in medical records, related to the city where she lives, defined as Recife, metropolitan region (Jaboatão dos Guararapes, Olinda, Paulista, Moreno, Igarassu, Abreu e Lima, Camaragibe, Cabo de Santo Agostinho, São Lourenço da Mata, Araçoiaba, Itamaracá Island, Ipojuca and Itapissuma), interior and other states.

according to the belief declared by the patient and categorized into: atheist, catholic, evangelical, spiritist, Anglican charismatic and others.

smoking, regardless of quantity, during pregnancy, as stated by the patient. Yes / no categorical and dichotomous variable.

habit of drinking alcoholic beverages, regardless of quantity, during pregnancy, as stated by the patient. Yes / no categorical and dichotomous variable.

use of non-legal drugs, such as marijuana, cocaine, crack and the like, regardless of the amount, during pregnancy, as stated by the patient. Yes / no categorical and dichotomous variable.

number of previous pregnancies, including the current one, regardless of the gestational outcome (abortion, delivery, number of fetuses, ectopic pregnancy or fetal death), as reported by the patient and noted in the medical record or prenatal card. Numerical and discrete variable.

number of previous deliveries with fetuses over 500g and / or gestational age greater than 22 weeks, regardless of multiple gestation, perinatal death or delivery, as reported by the patient and noted in the medical record or prenatal card. Numerical and discrete variable.

number of previous deliveries with fetuses over 500g and / or gestational age greater than the 22nd week, by cesarean section, as informed by the patient and noted in the medical record or prenatal card. Numerical and discrete variable.

number of previous births with fetuses above 500g and / or gestational age greater than 22 weeks, vaginally, regardless of whether instrumental, as informed by the patient and noted in the medical record or prenatal card. Numerical and discrete variable.

number of interruptions of pregnancy with fetuses below 500g and / or gestational age below 22 weeks, regardless of being spontaneous, as informed by the patient and noted in the medical record or prenatal card. Numerical and discrete variable.

number of children who remain alive, regardless of the cause of death, as informed by the patient and noted in medical records or prenatal card. Numerical and discrete variable.

as informed by the patient or noted on the prenatal card and medical record, the number of consultations performed during prenatal care. Numerical and discrete variable.

gestational age, in weeks, calculated by the day of the last menstruation and confirmed by the first ultrasound scan of the onset of flu-like signs and symptoms. Numerical and discrete variable.

number of days after birth of the onset of flu-like signs and symptoms. Numerical and discrete variable.

number of days the patient had signs and symptoms of flu-like syndrome and its complications. Numerical and discrete variable.

when the patient declared that at the beginning of the signs and symptoms she was separated / isolated at home without any contact with healthy people, including not even going out for essential purchases, for a period of 14 days. Yes / No categorical and dichotomous variable.

it is a measure of community restraint, adopted in some cases, to prevent the spread of a certain contagious disease. Considered when the patient declared that she was at home, leaving only what was necessary for essential purchases, before the onset of signs and symptoms. Yes / No categorical and dichotomous variable.

when the patient declared that she had contact with people infected with COVID-19 and / or traveled to places considered to be the epicenter of the disease, but even asymptomatic, she stayed home without contact with other people, including not even going out for essential purchases, for a period of seven to 14 days. Yes / No categorical and dichotomous variable.

when there is a need for hospitalization due to flu-like syndrome and / or its complications, excluding hospitalizations due to obstetric complications and includes all participants, especially pregnant women monitored during prenatal care. Yes / No categorical and dichotomous variable.

day of hospitalization due to flu syndrome and / or complications. Numerical and discrete variable.

length of stay, in days, as described in the medical record. Numerical and discrete variable.

As reported by the patient (dry cough, day of onset of dry cough, productive cough, day of onset of productive cough, coryza, day of onset of runny nose, body pain, day of onset of body pain, abdominal pain, day of onset of abdominal pain, chest pain, day of onset of chest pain, headache, day of onset of headache, dyspnoea, day of onset of dyspnoea, subfebrile state, day of onset of subfebrile state, fever, day of onset of fever, diarrhea , day of onset of diarrhea, sore throat, day of onset of sore throat, taste change, day of onset of taste change, smell change, day of onset of smell change, asthenia, day of onset of asthenia , axillary temperature, oxygen saturation).

result of RT-PCR in the diagnosis of COVID-19, by means of blood or nasopharyngeal secretion, according to the usual technique, being categorized as positive, negative and indeterminate.

result of RT-PCR in the differential diagnosis of respiratory syndrome, through blood or nasopharyngeal secretion, according to the technique and kit used, being categorized as positive (any virus found), negative and indeterminate.

result of the RT-PCR of the viral panel in the differential diagnosis of flu syndrome, through blood or nasopharyngeal secretion, according to the technique and kit used, categorized according to the virus found.

result in the diagnosis of COVID-19, by means of blood, according to the usual technique, being categorized as positive, negative and indeterminate.

result of IgM COVID-19 serology, through blood, according to the Enzyme-Linked Immunosorbent Assay (ELISA) technique or immunochromatography or chemiluminescent immunoassay, being categorized as positive, negative and indeterminate, according to the reference values of each serological kit, performed after the 5th day of signs and symptoms. Numeric and continuous variable.

result of IgA COVID-19 serology, through blood, according to the ELISA technique, being categorized as positive, negative and indeterminate, according to the reference values of each serological kit, performed after 5th day of signs and symptoms. Numeric and continuous variable.

result of IgG COVID-19 serology, by means of blood, according to the ELISA technique, being categorized as positive, negative and indeterminate, according to the reference values of each serological kit, performed after 14th day of signs and symptoms. Numeric and continuous variable.

rom the first exam (day zero). Describe the subsequent days. Numerical and discrete variable.

after diagnostic confirmation of COVID-19 and 14 days after the cure criteria, the RT-PCR test returns positive. Yes / No categorical and dichotomous variable.

substances capable of modulating the cellular response of several cells, such as interleukins - IL-1ra, IL-6, IL-2, IL-5, IL-10, IL-12, IL-13, IL17A, IL-4, IL-1β, IL-9, IL-15, Interferon - IFN-γ and Tumor necrosis factor - TNF-α, in maternal blood, in pg / ml, from the beginning of the flu syndrome or COVID- 19 and in the period of the syndrome. Numeric and continuous variable (for each cytokine).

day of the first cytokine dosage from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

day of the first blood count from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first hemoglobin measured in maternal blood, in g / dL, from the flu syndrome and in the period of the syndrome, being normal ≥ 11.0g / dL and ≤ 16.0g / dL. Numeric and continuous variable.

value of the first leukocyte measured in maternal blood, / mm3, from the flu syndrome and in the period of the syndrome, being normal ≥ 4,000 / mm3 and ≤ 11,000 / mm3. Numerical and discrete variable.

when the rod / segment ratio is greater than 1/16 and / or the presence of young cells (promyelocytes, myelocytes, metamyelocytes) occurs, starting with the flu syndrome and in the period of the syndrome. Yes / No categorical and dichotomous variable.

value of the first platelet measured in maternal blood, / mm3, from the flu syndrome and in the period of the syndrome, being normal ≥ 150,000 / mm3 and ≤ 400,000 / mm3. Numerical and discrete variable.

value of the first typical lymphocyte measured in maternal blood, / mm3, from the flu syndrome and in the period of the syndrome, being normal ≥ 1,050 / mm3 and ≤ 3,850 / mm3. Numerical and discrete variable.

value of the first atypical lymphocyte measured in maternal blood, / mm3, from the flu syndrome and in the period of the syndrome, being normal ≥ 0 / mm3 and ≤ 220 / mm3. Numerical and discrete variable.

day of the first coagulogram from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first TB measured in maternal blood, in seconds (s), from the flu syndrome and the period of the syndrome, being normal from 60s to 180s. Numerical and discrete variable.

value of the first CT measured in maternal blood, in seconds (s), from the flu syndrome and the period of the syndrome. Numerical and discrete variable.

value of the first TD measured in maternal blood, in seconds (s), from the flu syndrome and in the period of the syndrome, with a value of up to 11.3s being normal. Numerical and discrete variable.

value of the first APTT measured in maternal blood, in seconds (s), from the flu syndrome and the period of the syndrome, with a value of up to 30.5s being normal.

value of the first INR measured in maternal blood, from the flu syndrome and the period of the syndrome, being normal between 2 and 3. Numerical and discrete variable.

day of the first urea from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first urea measured in maternal blood, in mg / dL, from the flu syndrome and in the period of the syndrome, being normal ≥ 19.2mg / dL and ≤ 49.2mg / dL. Numerical and discrete variable.

day of the first creatinine from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first creatinine measured in maternal blood, in mg / dL, from the flu syndrome and in the period of the syndrome, being normal ≥ 0.5mg / dL and ≤ 1.1mg / dl. Numerical and discrete variable.

defined as aspartate aminotransferase (AST) or glutamic-oxalacetic transaminase (TGO) and alanine aminotransferase (ALT) or glutamic-pyruvic transaminase (TGP), from the beginning of the flu syndrome or COVID-19 on syndrome period.

day of the first VSH from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first VSH measured in maternal blood, in mm / h, from the flu syndrome and in the period of the syndrome, being normal <20mm / h. Numerical and discrete variable.

day of the first CRP from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first CRP measured in maternal blood, in mg / L, from the flu syndrome and in the period of the syndrome, being normal <5mg / L. Numerical and discrete variable.

day of the first D-dimer from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first D-dimer dosed in maternal blood, in mg / dL, from the flu syndrome and the period of the syndrome. Numerical and discrete variable.

day of the first DHL from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first DHL measured in maternal blood, in mg / dL, from the flu syndrome and the period of the syndrome, being normal ≥ 125U / L and ≤ 243U / L. Numerical and discrete variable.

day of the first alkaline phosphatase from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first alkaline phosphatase measured in maternal blood, in U / L, from the flu syndrome and in the period of the syndrome, being normal ≥ 46U / L and ≤ 116U / L. Numerical and discrete variable.

day of the first troponin from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the first troponin measured in maternal blood, in ng / mL, from the flu syndrome and in the period of the syndrome, being normal <0.4 ng / mL. Numerical and discrete variable.

day of the first ferritin from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

alue of the first ferritin measured in maternal blood, in ng / mL, from the flu syndrome and the period of the syndrome. Numerical and discrete variable.

defined as total (BT), direct (BD) and indirect (BI) bilirubins from the beginning of the flu syndrome or COVID-19 and in the period of the syndrome.

day of the first blood culture from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

result of the first blood culture from the flu syndrome and in the period of the syndrome, categorized as negative and positive (growth of the microorganism). Categorical and dichotomous variable.

name of the microorganism, which grew on examination, from the flu syndrome and the period of the syndrome, according to its taxonomic classification.

day of the first uroculture from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

result of the first uroculture from the flu syndrome and in the period of the syndrome, categorized as negative and positive (growth of the microorganism). Categorical and dichotomous variable.

worst result of IgM COVID-19 serology, through blood, according to the Enzyme-Linked Immunosorbent Assay (ELISA) technique or immunochromatography or chemiluminescent immunoassay, being categorized as positive, negative and indeterminate, of according to the reference values of each serological kit, performed after the 5th day of signs and symptoms. Numeric and continuous variable.

Result of the worst result of IgA COVID-19 serology, through blood, according to the ELISA technique, being categorized as positive, negative and indeterminate, according to the reference values of each serological kit , performed after the 5th day of signs and symptoms. Numeric and continuous variable.

worst result of IgG COVID-19 serology, performed using blood, according to the ELISA technique, being categorized as positive, negative and indeterminate, according to the reference values of each kit serological test, performed after the 14th day of signs and symptoms. Numeric and continuous variable.

substances capable of modulating the cellular response of several cells, such as interleukins - IL-1ra, IL-6, IL-2, IL-5, IL-10, IL-12, IL-13, IL17A , IL-4, IL-1β, IL-9, IL-15, Interferon - IFN-γ and Tumor necrosis factor - TNF-α, in maternal blood, in pg / ml, being the worst maternal result, from the beginning of the flu syndrome or COVID-19 and in the period of the syndrome. Numeric and continuous variable (for each cytokine).

day of the performance of the worst urea result from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the worst result of urea measured in maternal blood, in mg / dL, from the flu syndrome and in the period of the syndrome being normal ≥ 19.2mg / dL and ≤ 49.2mg / dL. Numerical and discrete variable.

day of the worst creatinine result from the flu syndrome and in the period of the syndrome. Numerical and discrete variable.

value of the worst result of creatinine measured in maternal blood, in mg / dL, from the flu syndrome and in the period of the syndrome, being normal ≥ 0.5mg / dL and ≤ 1.1mg / dl. Numeric and discrete variable.

defined as the worst outcome of aspartate aminotransferase (AST) or glutamic-oxalacetic transaminase (TGO) and alanine aminotransferase (ALT) or glutamic-pyruvic transaminase (TGP) from the onset of the flu syndrome or COVID- 19 and in the period of the syndrome.

Leila Katz

Principal Investigator

1,200 pregnant women (600 HIV+ mothers and 600 HIV-controls) in their third trimester were enrolled from January 2016 to June 2019. Participants are being followed as mother-baby pairs at birth, within 10 days of life 6, 10, 14 24, 48, 72 and 96 weeks of age. At each visit clinical examinations are being used to assess health and the impact of environmental factors. In addition, questionnaires are administered and bio-samples for laboratory tests. The design of the study is non-interventional cohort but participants are being offered advice regarding health and hygiene.

maternal urine, stool, plasma, milk, cord blood, amniotic fluid, placenta, infant serum/plasma, dried blood spots and stool

HIV Infections

Immune Activation

Cormobidities

The University of Zimbabwe College of Health Science (UZ-CHS) BIRTH COHORT Study

HIV Exposure, Disease Acquisition and Progression Among Children: Role of Maternal Immunogenetics, Viral Genetic Diversity, HAART Exposure, Co-morbidities and Psycho-Social Status: (UZ-CHS Birth Cohort)

Comparison of morbidity of HEU vs. HUU infants, defined as impaired growth, immune- and neuro-development and/ or frequent clinically relevant infections

To determine any association of maternal HIV infection, HAART exposure.

To determine any association with maternal HIV and HAART exposure.

To determine any association of HAART exposure in utero and during breast feeding with pregnancy outcome, infant (HUU, HEU, HEI) growth and immune- and neuro-development.

To determine vertical transmission rates for HIV at birth and within the first 2 years of life and assess risk factors for transmission

HIV incidence rate among mother sero-negative at enrollment

To determine the association between maternal baseline and delivery HAART levels in different compartments and the relation of those to infant HIV transmission, mortality and morbidity.

To determine the association between antenatal immune dysregulation and infant death, growth and immune responses to vaccines.

To determine HIV drug resistance profiles in mother and infants unresponsive to HAART

To determine how CMV DNA is influenced by HIV infection, HAART use and as single infection or combined infections in HIV+ and HIV- women and determine the impact on pregnancy outcome and infant cmv vertical transmission

To determine how HBV infection infections in HIV+ and HIV- women and determine the impact on pregnancy outcome, infant vertical transmission

To determine HCV infections proportion in HIV positives and negatives and HIV+ and HIV- women and determine the impact on pregnancy outcome, infant incidence of congenital cmv infection

To determine syphilis infections proportion in HIV positives and negatives and the impact on pregnancy outcome, infant incidence of congenital syphilis infection

To determine the prevalence of helminthes infection using 18s sequencing and correlate with infant development of atopic dermatitis.

To determine the prevalence of maternal under and overnutrition using BMI and MUAC impact on pregnancy outcomes, infant mortality and morbidity.

To assess abnormalities in HIV + and HIV- including lipid profiles, bone, haematological (anemia) and hepatic toxicities associated with exposure to HAART among mothers and infants.

To determine infant non-infectious comorbidities (e.g. anaemia, atopic dermatitis, congenital infections and other conditions) and their impact on mortality and morbidity.

To assess delayed neuro-cognitive development using the Denver II tool in HUU, HEU and HEI infants and correlated with socio economic status and infectious diseases.

To determine humoural immune responses to EPI vaccines including antibody levels against measles, tetanus, diphtheria, pertussis, polio and rotavirus) in HUU, HEU and HEI infants.

To determine immune activation and systemic inflammatory biomarkers in HUU, HEU and HEI infants

To determine biomarkers for endothelial dysfunction including microbial translocation in HUU, HEU and HEI infants and association with household hygiene at delivery, 6, 48 and 96 weeks of age.

To determine antenatal reference ranges for MUAC, haemoglobin from FBC analyses, and biochemistry (kidney function, liver function tests, bone, lipid profiles) in mothers with a favourable outcome of pregnancy

To determine maternal- infant microbiota16S sequencing in pregnancy and relate it to infant immune development and atopy (anti-inflammatory (IL-4, -5, -13) and regulatory cytokines (IL-10, TGF-β) at delivery, 6 weeks 48 and 96 weeks of age.

Bacterial full genome metagenomics shotgun sequencing to identify the microbiota metabolic potential (i.e. bacterial genes present will be done) and mass spectrometry will be performed for analysis of small intestinal content (metabolome).

Wide range of nutritional profiles and HAART levels spectrometry will be performed for analysis of at least 700 metabolites including amino acids and lipids will be performed in plasma, breast milk and stool samples

To characterize pathogen genetic diversity including HIV, HBV, HCV, CMV subtypes, prevalent in our study population at time of infection

To determine host genetic markers for infectious disease susceptibility including human leukocyte antigen (HLA) and killer immunoglobulin like receptor (KIR) gene variants and their association with infection rates of HIV and co-infections in mothers and their infants.

Only anonymous data will be stored at local sites and transferred between sites for collaborative research efforts. All original data will be stored locally at the UZ-CHS for at least 10 years on suitable electronic devices. Data transfer with collaborating partners will be encrypted. using EGAcryptor. With our European partners we will follow the current European General Data Protection Regulation effective May 25, 2018.

Kerina Duri

Associate Professor

University of Zimbabwe

University Hospital Inselspital, Berne

University of Hamburg

University of Oxford

Wellcome Trust

University of Yaounde

University of Cape Town

Midlands State University, Zimbabwe

National Institute of Health Research, Zimbabwe

Patients with Hypophosphatasia disease or high-grade suspicion for Hypophosphatasia disease

For the development of the new biomarkers using the technique of Mass-spectrometry 7, 5 ml EDTA blood and a dry blood spot filter card are taken. To proof the correct di- agnosis of Hypophosphatasia in those patients where up to the enrollment in the study no genetic testing has been done, sequencing of Hypophosphatasia disease will be done. The analyses will be done at the: Centogene AG Am Strande 7 18055 Rostock Germany

Defective Mineralization

Centogene is one of the leading laboratories focusing on genetic testing for rare hereditary disorders. We now offer more than 2200 routine genetic and biochemical tests.

Centogene AG

NIRMAN Navi Mumbai Institute of Research In Mental And Neurological Handicap/Pediatric Geneticist

Lady Ridgeway Hospital for Children

Biomarker for Hypophosphatasia Disease (BioHypophos)

Biomarker for Hypophosphatasia Disease AN INTERNATIONAL, MULTICENTER, EPIDEMIOLOGICAL PROTOCOL

Next-Generation Sequencing (NGS) of the ALPL gene will be performed. The mutation will be confirmed by Sanger sequencing.

The quantitative determination of small molecules (molecular weight 150-700 kD, given as ng/μl) within a dried blood spot sample will be validated via liquid chromatography multiple reaction-monitoring mass spectrometry (LC/MRM-MS) and compared with a merged control cohort. The statistically best validated molecule will be considered as a disease specific biomarker.

Centogene AG Rostock

Hypophosphatasia

Clinical Trial Unit, Orthopaedische Klinik Koenig-Ludwig-Haus, Lehrstuhl der Universitaet Wuerzburg

Burden of Disease in Hypophosphatasia (HPP)

Non-interventional, Prospective, Single-center Investigation With Exploratory Data Analysis to Delineate the Variability and Frequency of Symptoms and Disease Manifestations in Adult HPP Patients

Dr. Lothar Seefried

Dr. med.

Wuerzburg University Hospital

Patient clinical data will be collected related to the diagnosis, onset, progression, treatment course and outcome for patients with HPP.

Duke University Medical Center

Natural History Study of Patients With Hypophosphatasia (HPP)

Natural History Study of Adult and Pediatric Patients With Hypophosphatasia

Patient clinical data will be collected related to the diagnosis, onset, progression, treatment course and outcome for patients with HPP

stillbirth/phosphatase

Northeast COVID-19 and Pregnancy Study Group

The University of Zimbabwe College of Health Science (UZ-CHS) BIRTH COHORT Study

Biomarker for Hypophosphatasia Disease (BioHypophos)

Burden of Disease in Hypophosphatasia (HPP)

Natural History Study of Patients With Hypophosphatasia (HPP)

Najbardziej kompletna baza danych ziół leczniczych poparta naukowo