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pft 1.0.1

CRAN pretest fixes; no user-facing behaviour changes.

• Replaced the Unicode superscript-minus characters in the pft_dlco_hb_correct() docstring with ASCII (^-1), so the PDF version of the reference manual builds under LaTeX without special Unicode support.
• Declared R (>= 4.1) in the Depends field to match the fact that pft_volume_subpattern()’s example uses the base-R pipe (|>), introduced in R 4.1.
• Wrapped technical acronyms ('ATS', 'ERS', 'GLI') in single quotes in the DESCRIPTION Description field per CRAN convention.

pft 1.0.0

Initial public release. Baseline feature set implementing routine pulmonary function test interpretation under the ERS/ATS 2022 technical standard, with GLI-family reference equations (GLI-2012 and GLI Global 2022 spirometry, GLI-2021 static lung volumes, GLI-2017 diffusion capacity with the 2020 author correction), the ERS/ATS 2022 pattern classifier, severity grading, bronchodilator response, PRISm identification, hemoglobin correction, the FEV1Q survival index, GOLD 1-4 airflow-limitation grading, and Graham 2019 A-F spirometry acceptability grading. Pellegrino et al. 2005 legacy primitives are retained for cross-standard reclassification analyses. Detailed change log for the development history follows.

Development history (pre-1.0.0)

Breaking changes

• The default year argument for pft_spirometry(), pft_interpret(), pft_classify(), pft_prism(), and pft_volume_subpattern() is now 2022 (the GLI Global / race-neutral equations) — previously 2012. This aligns the package with the current ERS/ATS 2022 technical-standard recommendation and removes the need for a race column when callers omit year. The combined effect with the always-suffixed output convention is that pft_spirometry(d) now emits fev1_pred_2022 (was fev1_pred), and pft_classify(d) looks up fev1_lln_2022 by default (was fev1_lln). To reproduce the previous behaviour pass year = 2012 explicitly and include a race column.

• Spirometry reference outputs from pft_spirometry() / pft_interpret() now always carry a four-digit GLI-year suffix: fev1_pred_2012, fev1_lln_2012, fev1_zscore_2012, … for GLI 2012, and the existing _2022 columns for GLI 2022. Previously the default

  2012. emitted unsuffixed columns and only 2022 carried a suffix; the asymmetry meant flipping a default in the future would silently change column names of code written against the unsuffixed convention. The always-suffix scheme makes the source equation explicit at every column and removes the implicit “unsuffixed == default” rule.

  Lung-volume (Hall 2021) and diffusion (GLI 2017) outputs stay unsuffixed for now — each module currently ships a single standard. The same suffixing convention will be adopted there when competing standards emerge.

  Knock-on changes:

  • pft_classify(), pft_prism(), and pft_volume_subpattern() gain a year argument (default 2012) that suffixes the spirometry-derived _lln defaults. Standalone callers should pass the year matching their upstream reference-function call.
  • pft_interpret() threads year through the internal pipeline so the helpers above receive it automatically.
  • pft_long()’s year column is now populated for every spirometry row; volume / diffusion rows remain year = NA until those modules adopt the convention.
  • print.pft_result annotates the per-measure rows with the chosen GLI year (e.g. “FEV1 (2012)”). When both _2012 and _2022 columns are present, the highest year is rendered.
  • pft_plot() deduplicates per measure when both years are present, picking the highest year so a single lollipop renders one z-score per measure.

  Tests, vignettes, and rendered docs have been updated to the new convention. If you wrote code against fev1_pred / fev1_zscore / etc., add the _2012 suffix to those names (or pass column-name overrides to the helpers).

• pft_compare(), print.pft_compare(), summary.pft_compare(), and the pft_plot(type = "compare") mode have been removed. The GLI 2012 vs GLI Global 2022 reclassification analysis can still be reproduced by calling pft_interpret(data, year = 2012) and pft_interpret(data, year = 2022) and computing deltas on the resulting columns directly. Removed for being outside the package’s core ATS/ERS reference-value + interpretation mission.

• pft_plot() has been simplified to the single-patient lollipop figure; the histogram, trajectory, and bdr modes have been removed. The signature is now pft_plot(data) with no type argument. Cohort and longitudinal figures are easier to build directly from pft_long() output piped into ggplot2.

• pft_cohort_summary() has been removed. Its outputs (per-measure z-score quantiles, ATS pattern frequencies, PRISm prevalence, diffusion-category frequencies) are easier expressed as plain dplyr::group_by() |> summarise() calls on a pft_interpret() result, optionally piped through pft_long() first.

• pft_dlco_hb_correct() no longer inspects its hemoglobin argument for likely-g/dL inputs (the previous behaviour was to warn and multiply by 10 when any value was below 30). Unit detection is out of scope for the package; pass g/L directly. Callers that were relying on the auto-conversion will now get numerically wrong corrections instead of a warning, so audit any upstream code that produced this argument.

• pft_required_columns() has been removed. It returned a hardcoded list of column names per function — documentation written as code, which had to be hand-synced with the actual function signatures. The same content is now in vignette("input-format").

• pft_validate() has been removed. Most of its checks (sex coding, age and height range, race level membership) duplicated warnings already emitted by the reference functions’ input normalisation, and the rest (positive-value, FEV1 ≤ FVC) would surface naturally as NaN z-scores from the LMS power transform. Callers can write these checks inline against their cohort if they still want them.

• pft_glance() and the broom::glance() S3 method on pft_result have been removed. The function returned four passthrough columns plus three trivial row-stats (worst_zscore, n_below_lln, n_above_uln), all of which are easier computed inline from a pft_long() result. pft_long() and the broom::tidy() S3 method are kept.

• pft_interpret() no longer auto-derives fev1fvc_measured from fev1_measured / fvc_measured (and the analogous frc_tlc_measured). Trust-the-caller: supply the ratio column explicitly if you want pattern classification, PRISm, or the volume sub-pattern stages to run. Note that in ATS/ERS “best test” workflows the reported ratio comes from a single maneuver and may not equal fev1 / fvc constructed from best-of-N picks, so the caller’s explicit ratio is the safer source.

New features

• pft_classify(), pft_prism(), pft_volume_subpattern(), and pft_diffusion_interpret() now accept tidy-eval column-name overrides (bare name, string, or !!var) for every input column, matching the pattern already used by pft_spirometry(), pft_volumes(), pft_diffusion(), and pft_interpret(). Defaults are the canonical pft column names, so callers using the convention pass no extra arguments. The error message when a required column is absent now reads "required column(s) missing from input: ..." (was function-specific wording).
• pft_diffusion_interpret() gains an SI.units argument matching pft_diffusion() and pft_interpret(). The previous silent traditional-vs-SI auto-detect is dropped; SI-units callers must now pass SI.units = TRUE (or override dlco / kco directly). Threaded through pft_interpret() so the package-level SI.units flag now reaches every stage that needs it.
• pft_classify() now tolerates absence of the tlc / tlc_lln columns: when either is missing from data, the existing spirometry-only fallback (Stanojevic 2022 Table 5 / Pellegrino 2005 Fig 2) triggers without raising. Previously a caller working from spirometry-only data had to add explicit NA TLC columns first.
• pft_long() pivots a pft_result to long form (one row per (patient, measure)). The tidy.pft_result() S3 method dispatches to it when broom is installed.
• pft_diffusion_interpret(data) assigns a Hughes & Pride 2012 clinical category (Normal / Parenchymal / Volume loss / Mixed / Vascular / Elevated KCO / Other) from DLCO, VA, KCO z-scores. Run automatically by pft_interpret() when the diffusion z-scores are present.
• pft_volume_subpattern(data) differentiates the six Stanojevic 2022 Figure 10 lung-volume sub-patterns (Normal lung volumes / Large lungs / Hyperinflation / Simple restriction / Complex restriction / Mixed disorder). Auto-run by pft_interpret() when the requisite ratio columns are present.
• pft_fev1q(fev1, sex, age) implements the FEV1Q adult mortality index from Stanojevic 2022 Box 3.
• pft_dlco_hb_correct(dlco, hemoglobin, sex, age) applies the Cotes 1972 / Stanojevic 2017 hemoglobin correction. Reference Hb is 146 g/L (males ≥ 15) or 134 g/L (females, males < 15). Hb input must be in g/L; the function does not detect or convert g/dL (see the breaking change above).

Bug fixes

• pft_quality() — child age cutoff corrected from age < 6 to age <= 6 per Graham 2019 Table 10; a 6-year-old is now graded as a child.
• pft_quality() — child 10%-of-highest repeatability rule (Graham 2019 Table 10 footnote) was not applied; now max(absolute, 0.10 * max(values)) for age <= 6.
• pft_quality() — sessions with n >= 2 acceptable maneuvers and best-two diff above all A/C/D thresholds were graded F; now correctly graded E (“usable but with poor repeatability”). Grade U (“0 acceptable AND ≥ 1 usable”) is not implemented because the function takes only acceptable maneuvers.
• pft_gold() — added optional fev1fvc argument enforcing the GOLD “FEV1/FVC < 0.7” prerequisite (Figure 2.10 header). Default preserves prior behaviour for existing callers; passing fev1fvc_measured returns NA for non-obstructed rows instead of a spurious GOLD grade.

Maintenance

• Minimum R version bumped from 2.10 to 4.0 to match the actual transitive dependency floor (rlang, tibble).
• Test count: 1195 → 1424 (+229).

Predecessor 2005 standard

Pellegrino 2005 interpretive primitives are now available so the package can serve a cross-standard reclassification analysis (comparing Stanojevic 2022 against the predecessor algorithm on the same cohort). All constants and decision logic are verified line-by- line against the source PDF (papers/pellegrino_2005/); the extraction is documented in papers/pellegrino_2005/verification.md.

• pft_classify() gains a standard = c("2022", "2005") argument. The 2022 path is the default and is unchanged. The 2005 path implements the Pellegrino et al. ERJ 2005 Figure 2 algorithm: it has four labels (Normal, Obstructed, Restricted, Mixed) – no Non-specific category, which was introduced after 2005. Cells that 2022 labels “Non-specific” are labeled “Restricted” under
• pft_severity_2005(pctpred) grades severity from FEV1 percent predicted into the five Pellegrino bands (mild / moderate / moderately severe / severe / very severe).
• pft_bdr_2005(pre, post) applies the dual >=12% AND >=200 mL criterion from the 2005 standard, without needing the patient’s predicted value.
• pft_interpret() gains a matching standard = c("2022", "2005") argument that dispatches all three primitives to the 2005 forms in one call. year (GLI equation year) and standard (interpretive rules) are independent – you can pair GLI 2022 race-neutral equations with the 2005 interpretive logic, or any other combination, for nuanced reclassification analyses.

Input contract

• pft_spirometry(), pft_volumes(), pft_diffusion(), and pft_interpret() now accept tidyverse-style column references for the demographics inputs. Bare names (sex = Sex), strings (sex = "Sex"), and rlang injection (sex = !!my_var) are all supported. Defaults match the canonical column names, so existing code keeps working unchanged. The user’s original column names are preserved in the output.
• New “Input data format” vignette walks through the data-frame contract, units and types per column, the override syntax, and common errors.

Input normalization

• Bug fix (silent-wrong-sex): any sex value other than "M" was previously treated as "F" without warning, so a cohort with "Male" / "Female" / "male" etc. silently produced female predictions. pft_spirometry(), pft_volumes(), and pft_diffusion() now soft-correct common variants ("male" -> "M", "Female" -> "F", etc.) with a warning; truly unrecognised values (e.g. "X", "Unknown") are set to NA rather than mis-coded.
• race values are similarly soft-corrected case-insensitively with whitespace and synonym tolerance ("caucasian" -> "Caucasian", "white" -> "Caucasian", "black" -> "AfrAm", etc.). All normalisation findings roll up into a single consolidated warning per call.
• Missing sex, age, height columns (or race for GLI 2012) now error with a clear message listing the expected names, rather than silently producing all-NA output.

Reference equations

• All internal reference data is now built reproducibly from the official ERS / ATS source documents. data-raw/build_gli_2012.R, build_gli_2022.R, build_gli_2021_volumes.R, and build_gli_2017_diffusion.R each read the published lookup-table workbook (or, where unavailable, the equation table from the article PDF) and regenerate the corresponding .RData and CSV artifacts.
• R/spirometry.R, R/lung_volumes.R, R/diffusion_capacity.R, and R/ats_classification.R now carry @references to the source papers (and the 2020 author correction for the diffusion equations).
• Removed data-raw/coeffs_spline_spiro.RData: an orphan blob holding GLI 2012 polynomial coefficients for ages 25-95, which the package never used (the lookup-table approach in R/spirometry.R interpolates directly from spline values instead).

New clinical extensions

• pft_quality(values, age) grades a set of acceptable spirometry maneuvers A-F per the Graham et al. ATS/ERS 2019 spirometry standardization update (doi:10.1164/rccm.201908-1590ST). Tighter repeatability thresholds applied for children under 6.
• pft_gold(fev1_pctpred) returns the GOLD COPD severity grade (1-4) from FEV1 % predicted.

New interpretation primitives

• pft_severity(zscore) returns one of "normal", "mild", "moderate", "severe" per the Stanojevic et al. ERJ 2022 z-score cut points (>= -1.645, > -2.5, > -4, <= -4).
• pft_bdr(pre, post, predicted) classifies BDR per the 2022 criterion (>10% change relative to predicted, replacing the earlier 12%/200 mL rule).
• pft_prism(data) adds a prism logical column flagging Preserved Ratio Impaired Spirometry (FEV1 below LLN, FEV1/FVC at or above LLN). Requires only spirometry; does not need TLC.
• pft_change(z1, z2, r) computes the conditional change z-score recommended by Stanojevic 2022 for interpreting serial PFT measurements over time. Configurable autocorrelation r.

Workflow wrappers

• pft_interpret(data) is a single-call workflow that auto-detects which inputs are present and emits a complete Stanojevic 2022-compliant interpretation: reference values, z-scores, percent predicted, severity grading, ATS pattern, PRISm flag, and bronchodilator response. This is the recommended entry point for clinical-style reporting.
• pft_plot(result) generates a clinical-style z-score lollipop plot with severity-band shading. Requires ggplot2 (Suggests).

New outputs: z-score and percent predicted

• pft_spirometry(), pft_volumes(), and pft_diffusion() now optionally compute z-scores and percent predicted. Supply a <measure>_measured column in the input data frame (e.g. fev1_measured, frc_measured, dlco_measured) and the function appends <measure>_zscore and <measure>_pctpred columns alongside the existing <measure>_pred / <measure>_lln / <measure>_uln. Backwards compatible: callers who only supply demographics continue to get the three existing reference-value columns and nothing else.
• z-score uses the LMS formula ((measured/M)^L - 1) / (L*S); percent predicted is (measured / M) * 100. Both propagate NA from the measured value, the LMS parameters, or the LLN as expected.
• Z-score formula sanity (z = 0 at predicted, ~+/-1.645 at LLN/ULN) is tested for every measure across the three functions. The GLI 2022 oracle CSV at tests/testthat/gli_2022_oracle.csv covers z-score and percent predicted as well as predicted and LLN, validated at tolerance 1e-8.

Reference-function robustness

• Bug fix: pft_spirometry(), pft_volumes(), and pft_diffusion() previously crashed with a “missing value where TRUE/FALSE needed” error when any row had a missing value (NA) in sex, age, or height. They now skip such rows and emit NA for the reference values on that row, matching the behaviour already provided for missing race (spirometry) and for pft_classify(). Real clinical PFT data routinely contains missing demographics; the prior behaviour required callers to filter NAs themselves.

ATS classification

• Bug fix (clinically meaningful): the ANNN and NANN pattern labels were inverted relative to Stanojevic et al. ERJ 2022 Figure 8. The classifier now correctly returns:
  • ANNN (isolated low FEV1) → “Normal”
  • NANN (isolated low FVC) → “Non-specific” Previously these two were swapped. The change re-labels patients whose spirometry profile is “isolated low FEV1 + everything else normal” (previously “Non-specific”, now “Normal”) and vice versa for isolated low FVC. See notes/ats_classification_label_fix.md for the clinical-review memo.
• Bug fix: the “all normal” branch was comparing FVC against fev1_lln instead of fvc_lln. Combined with the label-swap above, patients with FVC slightly below their FVC LLN but above their FEV1 LLN are now correctly routed to “Non-specific” rather than being silently labelled “Normal”.
• The classifier was expanded to all 16 combinations of (FEV1, FVC, FEV1/FVC, TLC) statuses, adding the new ats_pattern_combination output column. (Initial expansion: previous internal release; bug fixes: this release.)

Tests

• Test coverage grew from 36 to 101 tests across all four test files. Additions include predicted-value (median) comparisons against the GLI web calculator ground truth, NA-propagation tests, out-of-range tests, structural / column-contract tests, and a clinical-scenario suite for ats_classification grounded in Stanojevic 2022 Figure 8 / Table 5 / Table 8.
• New GLI 2022 / “GLI Global” oracle: a frozen 30-row ground-truth fixture at tests/testthat/gli_2022_oracle.csv covering predicted, LLN, z-score, and percent predicted for FEV1, FVC, and FEV1/FVC. Regenerated via data-raw/build_gli_2022_oracle.R (see that script for provenance). Only the static CSV ships; no test-time dependency on any external package.

Documentation

• New README with installation, usage, citations, and a research-use disclaimer.
• New inst/CITATION so citation("pft") returns the package and the underlying reference papers as bibentry objects.
• The MIT license file is now correctly declared in DESCRIPTION and shipped via LICENSE / LICENSE.md.
• notes/ats_classification_label_fix.md records the rationale and clinical-review questions for the ATS pattern-label changes above.

Internal

• Project now uses renv for dependency management.
• Reference paper PDFs and supplement workbooks live under papers/ but are excluded from git and from the R CMD build tarball (they are copyrighted publisher content).
• notes/ (clinical-review memos and similar) is also Rbuildignored. docs/ is reserved for the pkgdown-built site (gitignored; built and deployed to the gh-pages branch by .github/workflows/pkgdown.yaml).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.