BUG: nlargest returns empty frame with NA + duplicates

[LucasG0]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the master branch of pandas.

Reproducible Example

>>> df
   c1   c2
0   1  NaN
1   0  0.0
2   1  NaN
>>> df.nlargest(n=1, columns=["c1", "c2"])
Empty DataFrame
Columns: [c1, c2]
Index: []

Issue Description

The returned DataFrame is empty while it should have one row when rows having NA are duplicated.

Expected Behavior

The first row should be returned, as when the row with NA is not duplicated.

>>> df.iloc[0:2].nlargest(n=1, columns=["c1", "c2"])
   c1  c2
0   1 NaN

Installed Versions

INSTALLED VERSIONS

commit : 66e3805
python : 3.7.6.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19041
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 11, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None

pandas : 1.3.5
numpy : 1.19.5
pytz : 2020.1
dateutil : 2.8.1
pip : 20.2.2
setuptools : 49.4.0.post20200813
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : 1.6.0
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : 0.52.0

[phofl]

This is more or less a duplicate of #28984 and was fixed in #43060. Tests were also added