Work

meta_data

Year: 2020
Type: dataset
Abstract: tblhctmeta.csv: Day and source of hematopoietic cell transplant (HCT) for 1,279 patientsPatientID: deidentified identifier of patientsDayOfTransplant: deidentified day of HCTHCTSource: hematopoietic cell sources for HCT patients (BM_unmodified: bone marrow; PBSC_unmodified: peripheral blood stem cells; TCD: T-cell depleted; cord: cord blood)Disease: disease of patientswbcPatientId, autoFmtPatientId, nejmPatientId: identifiers for the same patients if they were also included in another previous study (wbcPatientId: Schluter, J. et al. 2019. The gut microbiota influences circulatory immune cell dynamics in humans. BioRxiv; autoFmtPatientId: Taur, Y. et al. 2018. Reconstitution of the gut microbiota of antibiotic-treated patients by autologous fecal microbiota transplant. Science Translational Medicine 10(460); nejmPatientId: Peled, J.U. et al. 2020. Microbiota as Predictor of Mortality in Allogeneic Hematopoietic-Cell Transplantation. New England Journal of Medicine, 382(9), pp.822-834.) tbldrug.csv: Timing and route of drug administration for 1,279 patientsPatientID: deidentified identifier of patientsStartDay: deidentified day when drug administration startedStopDay: deidentified day when drug administration stopped (including the day)Factor: name of the drugCategory: category of the drugAntiInfective: whether the drug is an anti-infective agentRoute: route of drug administration tblInfectionsCidPapers.csv: Day of positive blood cultures for 457 patients (include only microbes analyzed in 1. Taur, Y., et al. 2012. Intestinal domination and the risk of bacteremia in patients undergoing allogeneic hematopoietic stem cell transplantation. Clinical infectious diseases, 55(7), pp.905-914; 2. Stoma, I., et al. 2020. Compositional flux within the intestinal microbiota and risk for bloodstream infection with gram-negative bacteria. Clinical Infectious Diseases.)PatientID: deidentified identifier of patientsDay: deidentified day of infectionInfectiousAgent: the bacteria causing infections tblbc.csv: Daily measurements of white blood cells, platelets and red blood cells for 1,279 patientsPatientID: deidentified ID of patientsDay: deidentified day of blood cell measurementImmatureMonocytes_unit_K_per_uL: immature monocyte cell countsSezaryCells_unit_K_per_uL: sezary cell countsVariantLymphocytes_unit_K_per_uL: variant lymphocyte cell countsImmatureGranulocytes_unit_K_per_uL: immature granulocyte cell countsBandCells_unit_K_per_uL: band cell countsBasophills_unit_K_per_uL: basophil cell countsBlastCells_unit_K_per_uL: blast cell countsEosinophils_unit_K_per_uL: eosinophil cell countsLymphocytes_unit_K_per_uL: lymphocyte cell countsNeutrophils_unit_K_per_uL: neutrophil cell countsMonocytes_unit_K_per_uL: monocyte cell countsPlatelets_unit_K_per_uL: platelet countsWBCtotal_unit_K_per_uL: total white blood cell countsRBCtotal_unit_M_per_uL: total red blood cell counts tbltemperature.csv: temperatures for 1,317 patientsPatientID: deidentified identifier of patientsDay: deidentified day when patient temperature was measuredMaxTemperature: Maximum temperature (unit: Fahrenheit) recorded on that day for that patient tblVanA.csv: Results of PCR detection for vanA gene for 7,708 samplesSampleID: stool sample identifier VanA: whether vanA gene is detected in the sample
Source: Figshare
Author: Liao, Chen
Language: English
Subfield: Hematology
Field: Medicine
Open Access status: green
OpenAlex ID: W4394540344
Cites:
Cited by: 1
Related to: 10